CN114928857A - Direct connection anti-interference configuration method for mobile equipment of cellular communication network - Google Patents

Direct connection anti-interference configuration method for mobile equipment of cellular communication network Download PDF

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CN114928857A
CN114928857A CN202210428825.8A CN202210428825A CN114928857A CN 114928857 A CN114928857 A CN 114928857A CN 202210428825 A CN202210428825 A CN 202210428825A CN 114928857 A CN114928857 A CN 114928857A
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杨平忠
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/06Testing, supervising or monitoring using simulated traffic
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W28/00Network traffic management; Network resource management
    • H04W28/02Traffic management, e.g. flow control or congestion control
    • H04W28/0231Traffic management, e.g. flow control or congestion control based on communication conditions
    • H04W28/0236Traffic management, e.g. flow control or congestion control based on communication conditions radio quality, e.g. interference, losses or delay
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W28/00Network traffic management; Network resource management
    • H04W28/02Traffic management, e.g. flow control or congestion control
    • H04W28/0252Traffic management, e.g. flow control or congestion control per individual bearer or channel
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W28/00Network traffic management; Network resource management
    • H04W28/02Traffic management, e.g. flow control or congestion control
    • H04W28/08Load balancing or load distribution
    • H04W28/09Management thereof
    • H04W28/0958Management thereof based on metrics or performance parameters
    • H04W28/0967Quality of Service [QoS] parameters
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/80Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/04Wireless resource allocation
    • H04W72/044Wireless resource allocation based on the type of the allocated resource
    • H04W72/0473Wireless resource allocation based on the type of the allocated resource the resource being transmission power
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W76/00Connection management
    • H04W76/10Connection setup
    • H04W76/14Direct-mode setup
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The mobile equipment direct-connection communication is short in distance, users have smaller time delay for transmitting signals, the signal transmission rate is higher, the energy consumption is lower, the mobile equipment direct-connection user number is greatly expanded and increased by improving and designing the electromagnetic interference specially aiming at the complex network environment, the extra gain of the system is obtained by allocating resources, a relation model between a single cellular user and a single pair of mobile equipment direct-connection users is designed based on a channel model and the system performance, a better result is obtained by using link allocation in resource allocation, a targeted intelligent algorithm is designed in the resource allocation, the convergence to a local optimal solution in the iterative optimization searching process is avoided, the resource allocation and the interference coordination are carried out through an equipment direct-connection communication interference coordination mechanism, the communication quality of each channel user is improved, and three efficiency indexes of frequency spectrum efficiency, energy consumption and cost are obviously improved, the problem of overlarge load of the base station is solved, and the method has a huge application prospect.

Description

Direct connection anti-interference configuration method for mobile equipment of cellular communication network
Technical Field
The application relates to a direct connection anti-interference configuration method for mobile communication equipment, in particular to a direct connection anti-interference configuration method for mobile equipment of a cellular communication network, and belongs to the technical field of direct connection communication of equipment.
Background
In recent years, due to popularization of intelligent terminals and improvement of mobile communication technology, mobile terminal users show explosive growth, demands for near field communication services are increasing, equipment direct connection communication is a technology allowing the mobile terminals to directly communicate through sharing cell spectrum resources under control of a cellular system base station, the mobile equipment direct connection communication is merged into a traditional cellular communication network, information can be directly transmitted between adjacent users without relaying through the base station, the spectrum efficiency of a network system is improved, service experience of local services is improved, and communication application is expanded. But presents challenges as well as a number of conveniences. The introduction of the direct connection communication of the mobile equipment makes the electromagnetic interference environment become more complex, if the interference cannot be effectively controlled, the direct connection communication of the mobile equipment can affect the communication quality of other users to cause the reduction of the system signal transmission performance, and the direct connection interference coordination and resource allocation method of the mobile equipment in the cellular communication network are provided.
The direct communication of the mobile device is a technology that two devices in a short distance directly communicate without relay forwarding of a base station after being authorized by the base station. The direct connection communication technology of the mobile equipment has the following characteristics: firstly, the mobile device directly links communication is the direct communication between two equipment, and is the same with technical properties such as present existing bluetooth, Zigbee, wiFi, the difference is that these several kinds of technical work are on the ISM frequency channel, and the mobile device directly links to be the work on the mandate frequency channel of cellular mobile communication system, compare in prior art and can enjoy better quality of service, and the mobile device directly links the communication user and need not additionally to carry out relevant connection and verify or pair, only need initiate communication request and just can accomplish the communication process, other works are accomplished by core network and basic station. Second, in the mobile communication network, about more than 90% of data traffic and more than 2/3 of voice traffic are completed in the indoor area with larger population density. The wireless signal penetration ability is weak, can only rely on outdoor basic station relay to forward to accomplish in indoor, and it is little obvious to cover the effect through increasing basic station transmitting power, and the power increase can lead to the electromagnetic wave radiation increase, and is unfavorable to human health, introduces the mobile device direct connection communication and just in time solves this problem. And for remote areas such as mountainous areas, forests and water areas and areas such as basements and tunnels where signals are difficult to reach, the existing mobile communication is still limited, the networking of a communication network can be more flexible due to the addition of direct communication of mobile equipment, and users can freely network according to requirements, so that the system has good expansibility.
Although the direct communication of the mobile equipment has advantages, the problem of overlarge load of the base station is solved, the addition of the direct communication of the mobile equipment brings serious co-frequency interference, and the frequency spectrum efficiency, the energy consumption and the cost form three major efficiency indexes of communication and become key factors of mobile communication. When the spectrum resources of the users of the mobile communication system are reused by the users directly connected to the mobile equipment, inevitable co-channel interference can be generated, and if the interference cannot be effectively controlled, the communication quality of all co-channel users can be affected by the users directly connected to the mobile equipment, so that the system performance is reduced. This will have a serious negative impact on the system, and therefore, a reasonable resource allocation is urgently needed for the direct communication interference coordination mechanism of the mobile device.
The communication distance of the direct connection of the mobile equipment is short, so that the time delay of signal transmission of a user is shorter, the signal transmission speed is higher, the energy consumption of the user for signal transmission is lower, a more complex network environment is brought, and electromagnetic interference is unavoidable. In the radio field, there are related resource allocation and interference coordination methods, but the related mobile device direct communication method also has some limitations, including: firstly, most of topological structures of mobile device direct connection research only have one pair or two pairs of mobile device direct connection users, and in the prior art, one pair or two pairs of mobile device direct connection users are added in one cell, but from the development trend of mobile communication systems, the addition of the mobile device direct connection users with the small quantity cannot meet the requirement of communication equipment with explosive growth, so that the quantity of the mobile device direct connection users needs to be increased urgently. Secondly, in the current mobile device direct connection network, although a resource allocation method for one pair or two pairs of mobile device direct connection users exists, the method is only limited to the level of allocating channels and power, extra gains of the system are obtained by allocating resources, and deep analysis on channel models and system performance of the basic mobile device direct connection communication system is not performed, so that a model is lacked for the relationship between a single cellular user and a single pair of mobile device direct connection users. Thirdly, in the resource allocation problem, the prior art tends to allocate channels and power in two steps, for a certain user, the change of the channels and power affects the performance of the user and the users sharing the channels, a mode of fixing one part and then scheduling the other part can lose solutions with higher performance, and a mode of using link allocation can obtain better results and further improve space. Fourth, the resource allocation research in the prior art lacks a targeted intelligent algorithm, the current algorithm has limitations, and the local optimal solution is easily converged in the iterative optimization process, so that the local optimal solution needs to be correspondingly improved to jump out, and thus, better system performance is obtained. When the mobile equipment is directly connected with the user to perform resource configuration, the method can be used for reference, and meanwhile, corresponding algorithm improvement is performed.
In summary, the problems and drawbacks of the direct connection method for the mobile device in the cellular communication network in the prior art still remain, and the difficulties and problems to be solved in the present application mainly focus on the following aspects:
(1) the direct connection communication of the mobile equipment is integrated into a traditional cellular communication network, information transmission is directly carried out between adjacent users without relays of base stations, while great convenience is brought, the electromagnetic interference environment becomes more complicated due to the introduction of the direct connection communication of the mobile equipment, interference cannot be effectively controlled in the prior art, the direct connection communication of the mobile equipment can affect the communication quality of other users, and the signal transmission performance of the system is reduced.
(2) The mobile equipment direct connection brings more complex network environment, electromagnetic interference cannot be avoided, and the application of the related radio resource allocation and interference coordination method in the prior art to the mobile equipment direct connection communication has limitations, and firstly, the topology structure of the equipment direct connection only has one pair or two pairs of mobile users, but the addition of the equipment direct connection users with the small number cannot meet the requirement of communication equipment with explosive growth; secondly, the current mobile equipment direct connection network is only limited to the level of distributing channels and power, extra gains of the system are obtained by distributing resources, and deep analysis on channel models and system performance of the basic mobile equipment direct connection communication system is not performed, so that a model is lacked for the relationship between a single cellular user and a single pair of mobile equipment direct connection users; thirdly, in the problem of resource allocation, the prior art tends to allocate channels and power in two steps, the performance of the users and the users sharing the channels and the power can be influenced by the change of the channels and the power, and solutions with higher performance can be lost by fixing one part and then scheduling the other part; fourth, the resource allocation research in the prior art lacks a targeted intelligent algorithm, and the local optimal solution is easy to converge in the iterative optimization process.
(3) The direct connection communication of the mobile equipment is added into a cellular communication network, but the multiplexing characteristic of the direct connection communication of the mobile equipment brings inevitable signal interference to the system, the resource coordination and allocation problem of the direct connection communication of the mobile equipment is not considered in the prior art, the access control of a direct connection user of the mobile equipment, the channel allocation of the direct connection user of the mobile equipment and the power control of the direct connection user of the mobile equipment and the cellular user are lacked, so that the interference between the direct connection communication of the mobile equipment and the cellular communication is serious, a resource allocation method between the direct connection communication of the mobile equipment and the cellular communication is lacked, the coordination is poor, the throughput and the performance of the system are reduced on the contrary, and the practical utilization value is lost.
(4) In the prior art, the problem of mutual interference among users under a mobile equipment direct connection communication model is serious, a mobile equipment direct connection access control criterion is lacked, a channel model which is in accordance with a direct connection network cannot be set by comparing the throughput of a system before and after the mobile equipment direct connection user joins, the mobile equipment direct connection user and a cellular user are lacked to be analyzed according to the minimum SINR limit and the power limit among the co-channel users, the mobile equipment direct connection user access control criterion cannot be deduced, the mobile equipment direct connection user which cannot meet the criterion is joined into the cellular cell to meet the signal transmission quality requirement of the co-channel users, the channel and the power are unreasonable in distribution, and the method is high in complexity.
(5) In the prior art, the problems of interference coordination and resource allocation of a mobile device direct connection communication model in a full-load cellular cell cannot be solved, a resource allocation method based on combination of a QC direct connection model and a mobile device direct connection access control criterion is lacked, the QC direct connection constraint model cannot be obtained and improved, and an update strategy of the QC direct connection constraint model with the best optimization performance cannot be selected as a core algorithm of resource allocation; access control is lacked for all mobile equipment direct-connected users joining a cellular cell, cellular users, which can reuse channel resources, of the mobile equipment direct-connected users cannot be selected as potential channel reuse users, link allocation of channels and power is lacked for integration based on a QC direct-connection model and a mobile equipment direct-connection access control criterion, mobile communication transmission loss and delay are caused, user experience feeling is seriously influenced, and development and growth of cellular communication network mobile equipment direct connection are hindered.
Disclosure of Invention
Firstly, analyzing and deducing parameter factors of a QC direct connection constraint model based on the convergence performance of the QC direct connection constraint model to obtain the parameter factors with the strongest convergence; the method comprises the steps that firstly, mobile equipment direct-connected users accessed to a cell are screened, mobile equipment direct-connected users which do not meet access conditions are eliminated, reusable cellular user channel resources are selected for the mobile equipment direct-connected users which can be accessed to the system according to the mobile equipment direct-connected access criteria, and access control of the mobile equipment direct-connected users is achieved; then, performing channel and power link resource allocation on mobile equipment direct connection users and cellular users in the system according to an updating strategy of the QC direct connection constraint model; in addition, the method and the device analyze the relation between the system performance of the mobile device directly connected users and the minimum SINR limit of the users, the maximum distance between the mobile device directly connected users and the access quantity of the mobile device directly connected users through simulation experiments, improve the system throughput, and have a great effect on the performance improvement of a mobile device directly connected communication and cellular communication hybrid system through a mobile device directly connected access control mechanism and a link resource configuration mechanism.
In order to realize the technical characteristics and effects, the technical scheme adopted by the application is as follows:
the direct connection anti-interference configuration method of the cellular communication network mobile equipment comprises the steps that firstly, a cellular communication network mobile equipment direct connection model is adopted; the device direct connection QC constraint method comprises a QC direct connection constraint model, parameter setting of the QC direct connection constraint model and an updating strategy of the QC direct connection constraint model; thirdly, resource allocation based on a QC direct connection model and a mobile device direct connection access control criterion comprises a mobile device direct connection access control process, a channel allocation process, a power allocation process and a hybrid network resource allocation process;
the method for coordinating and allocating the resources of the direct connection communication of the mobile equipment is provided, wherein the method comprises access control of a direct connection user of the mobile equipment, channel allocation of the direct connection user of the mobile equipment and power control of the direct connection user of the mobile equipment and a cellular user, and comprises the steps of adopting a channel and power link allocation method of a direct connection user DU of the mobile equipment and a cellular user CU of the mobile equipment, performing interference coordination and resource allocation between the direct connection communication of the mobile equipment and the cellular communication, and improving the throughput of the system through integration of the direct connection communication of the mobile equipment:
firstly, setting a channel model which accords with a direct connection network by comparing the throughput of a system before and after the mobile equipment direct connection user joins in, analyzing the mobile equipment direct connection user and a cellular user according to the minimum SINR limit and the power limit between the common-channel users, deriving the access control criterion of the mobile equipment direct connection user, and joining the mobile equipment direct connection user which meets the criterion into the cellular cell to meet the signal transmission quality requirement of the common-channel user;
secondly, aiming at the problems of interference coordination and resource allocation of a mobile equipment direct connection communication model under a full-load cell, a resource allocation method based on the combination of a QC direct connection model and a mobile equipment direct connection access control criterion is provided, firstly, a QC direct connection constraint model is provided and improved, and an update strategy of the QC direct connection constraint model with the best optimization performance is selected as a core algorithm of resource allocation; and secondly, performing access control on all mobile equipment direct-connected users joining the cell, selecting the cell users of which the mobile equipment direct-connected users can reuse channel resources as potential channel reuse users, and finally performing link allocation of channels and power by adopting the fusion of a QC direct-connection-based model and a mobile equipment direct-connection access control criterion.
Preferably, the cellular communication network mobile device direct connection model: considering the situation that the mobile equipment is added to the direct communication under the full load of a single cell, namely, channels in the cell are all allocated to cellular users, and the cellular user channel resources are reused after the mobile equipment direct connection users are added into the cell;
the method comprises the steps that the mode selection of frequency spectrum resource multiplexing mobile equipment direct connection communication of the mobile equipment direct connection communication is realized by adopting a mode of multiplexing uplink resources of a cellular communication system and is related to frequency spectrum resource allocation, on the premise of full load of a cellular cell, the mode selection is considered while the mobile equipment direct connection user is accessed, and the communication quality of the cellular user and the communication quality of the mobile equipment direct connection user are ensured;
in a system model for reusing uplink resources of a cellular communication system by mobile equipment direct connection users, in a complete cellular cell, M cellular users CU, N mobile equipment direct connection user pairs DU, DT represents a mobile equipment direct connection sending terminal, DR represents a mobile equipment direct connection receiving terminal, a set C ═ 1,2, …, M ═ and D ═ 1,2, …, N ═ represents index sets of the cellular users and the mobile equipment direct connection users, the cellular users in the cellular cell just occupy all spectrum resources in the cell, namely the number of the cellular users is the same as the number of the channels, N mobile equipment direct connection user pairs are added under a full-load network, each mobile equipment direct connection user pair adopts channel reuse, different mobile equipment direct connection user pairs reuse the same channel resource under the condition of meeting the QoS requirements of users, N pairs of the mobile equipment direct connection users reuse the spectrum resources of M cellular users, if interference generated by multiplexing any one channel by a mobile equipment direct-connected user cannot be borne by the common-channel user, namely the interference does not meet the SINR of the user, the mobile equipment direct-connected user selects a silent mode at the moment and does not perform data transmission; meanwhile, when channel allocation of a cellular user and a mobile device direct connection user is carried out, information of all channels in a cell owned by a base station, namely complete channel information, is considered;
the channel model adopts a path shadow consumption effect model, and the channel power gain among all users in a full-load cell is as follows:
Figure BDA0003610940400000051
wherein g is i,B Representing the channel gain, g, between the ith cellular user and the base station j Indicating j pair of mobile equipment direct connection user DT j And DR j The gain of the channel in between is increased,
Figure BDA0003610940400000052
indicating that the ith cellular user directly receives user DR to the jth mobile device j The channel gain of the interference is increased by the channel gain,
Figure BDA0003610940400000053
indicating that the jth mobile equipment directly sends the user DT j The channel gain of the interference to the base station,
Figure BDA0003610940400000054
indicating that the kth mobile equipment directly sends the user DT k Direct connection receiving user DR for jth mobile device j Channel gain of interference, channel power gain factor g rf Expressed as:
g rf =κ·ζ·ξ·d formula 2
Wherein κ and α represent a path consumption constant factor and a path consumption exponential factor, respectively, ζ represents a fast fading factor subject to exponential distribution, ξ represents a slow fading factor subject to lognormal distribution, and d represents a signal transmission distance;
the mobile equipment direct connection user is accessed to a cellular communication system to bring extra gain, the mobile equipment direct connection user needs to simultaneously meet the SINR limits of the mobile equipment direct connection user and a common channel cellular user, corresponding access control is carried out when the mobile equipment direct connection user is accessed, when the path shadow consumption effect model condition is met, the mobile equipment direct connection user is judged to share the cellular user channel, at the moment, the mobile equipment direct connection user pair is called as an accessible mobile equipment direct connection user pair, the channel of the multiplexed cellular user is a common channel of the mobile equipment direct connection user pair, the set of all the mobile equipment direct connection users which can access a cellular cell is made to be R,
Figure BDA0003610940400000061
which represents the transmit power of the cellular user,
Figure BDA0003610940400000062
and
Figure BDA0003610940400000063
representing the transmit power of the mobile device directly connected to the user,
Figure BDA0003610940400000064
indicating the SINR of the ith cellular user,
Figure BDA0003610940400000065
SINR, n, eta representing the direct connection user of the jth mobile device i,j Representing a multiplexing parameter between cellular user i and mobile device direct connected user j, η when mobile device direct connected user j multiplexes channels of cellular user i i,j When not multiplexed, eta is 11 i,j 0, the fitness function of the system is expressed as:
Figure BDA0003610940400000066
Figure BDA0003610940400000067
Figure BDA0003610940400000068
Figure BDA0003610940400000069
Figure BDA00036109404000000610
Figure BDA00036109404000000611
Figure BDA00036109404000000612
Figure BDA00036109404000000613
where, B denotes a channel bandwidth,
Figure BDA00036109404000000614
and
Figure BDA00036109404000000615
respectively representing the minimum SINR constraints for cellular users and mobile device direct users,
Figure BDA00036109404000000616
and
Figure BDA00036109404000000617
individual watchThe maximum transmitting power of the cellular user and the mobile equipment direct-connected user is shown;
the fitness function physical meaning expressed by the formula 3 is that the system throughput is maximized, the formulas 4 and 5 are SINR limiting conditions of cellular users and mobile device direct-connected users, the QoS requirements are met when the conditions are met, the formula 6 constraint condition expresses that the spectrum resources of one CU can only be multiplexed for any mobile device direct-connected user pair, and the formula 7 constraint condition expresses that the spectrum resources of one cellular user can be multiplexed by a plurality of mobile device direct-connected user pairs at the same time. Formula 8 limits the transmission power range of users in a cellular cell, the transmission power of a mobile terminal is limited, the maximum transmission power exists, the communication distance of direct communication of the mobile equipment is short, the cellular user and the direct communication user of the mobile equipment have different maximum transmission powers, and the DU transmission power is smaller than that of the CU, namely
Figure BDA0003610940400000071
Preferably, the QC direct constraint model is: adopting an iteration mode, the solving process is as follows: firstly, initializing a device chain point group, wherein each device chain point in the group has respective position and speed, the position of each device chain point represents a possible solution, a fitness function exists to represent the quality of all the device chain point solutions, after the fitness value of each device chain point is calculated, an individual extreme value and a group extreme value are found out, then speed updating and position updating are started, the fitness value is recalculated after the device chain point updates the position each time, the individual extreme value and the group extreme value are updated, each device chain point updates the position and the speed according to the individual extreme value, the group extreme value and the position thereof, iteration is continuously carried out until a termination condition is finally met, and the optimal solution is converged;
assume that a device group consists of a device chain points, i.e., p ═ p 1 ,p 2 ,…,p a Each device chain point is described by a position and velocity, device chain point p i The position in d-dimensional solution space is denoted as x i ={x i1 ,x i2 ,…,x id V, velocity is expressed as v i ={V i1 ,V i2 ,…,V id }, device chaining point p i Padv for individual extremum of (1) i And expressing, expressing the group extremum by gadv, and following the same updating rule for each equipment chain point:
Figure BDA0003610940400000072
where ω is the bridge constant, c 1 And c 2 Is a self access factor, k 1 、k 2 Is distributed in [0,1 ]]The random number is shown, and tau is the iteration number of the equipment chain point;
device chaining point p i Updated speed of
Figure BDA0003610940400000073
Is the front velocity
Figure BDA0003610940400000074
And
Figure BDA0003610940400000075
vector sum of (1), new location of device chaining point
Figure BDA0003610940400000076
Old location and update speed
Figure BDA0003610940400000077
The position update of the equipment chain point is related to the information of the equipment chain point and the information of other equipment chain points, and iteration and search are continuously carried out according to the position update until a preset condition is met; defining a parameter V max So that the search range of the device link point is limited to [ -V ] max ,Y max ]In range, when the device chain point p i If the speed of (2) exceeds this range, the value outside the range is set as the nearest boundary value.
Preferably, the self-access factor of the QC direct connection constraint model is set as follows: c. C 1 And c 2 Respectively determining the action size of the individual extreme value in the speed update and the action size of the group extreme value in the speed update for the self-access factor, and expanding the network topology to a full-load cell modeType, find c 1 And c 2 Where the bridge constant ω takes 1, c 1 And c 2 Best solution effect when each dynamically changes, c 1 Gradually decrease from 2.5 to 0.5, c 2 Gradually increasing from 0.5 to 2.5.
Preferably, the bridge constants of the QC direct constraint model are set to: the bridge constant omega is the capability of inheriting the previous speed of the current speed of the equipment link point, the bridge constant is at a larger value firstly, the global search is carried out at the initial stage of the optimizing search, the bridge constant is gradually reduced along with the iteration, and the effective local search is carried out at the later stage; under the condition of omega dynamic change, the solution process does not fall into suboptimal solution, omega changes slowly at the beginning, the global search capability of the algorithm is stronger at the initial optimization stage, the situation of discarding the optimal solution is stopped from the beginning, the change is gradually accelerated along with the increase of the iteration times at the later stage, the local search is performed in the range close to the optimal solution, and based on the optimization effect and the convergence performance, the bridge constant adopts the dynamic change in the form of the formula 6:
Figure BDA0003610940400000081
wherein, ω is s Representing the start value of the bridge constant, ω e Represents the end value of the bridge constant, k represents the current iteration number of the iteration optimization, τ max The maximum number of iterations is indicated.
Preferably, the update strategy of the QC direct-connection constraint model is as follows: a cross interchange method is integrated into the QC direct-connection constraint model, so that the QC direct-connection constraint model can carry out global search to the greatest extent in the search process, avoids trapping in suboptimal solution,
the sudden change factor processes the position of the current equipment chain point, a certain point in the equipment chain point is randomly adopted to generate sudden change, so that the variable factor is introduced, the two variable factors introduce the variable factor into the QC direct-connection constraint model, and the phenomenon that the target function value is locally optimal and is near wandering all the time is avoided.
Preferably, the resource configuration based on the QC direct connection model and the mobile device direct access control criterion is: under a full-load cellular network, access control analysis is firstly carried out on mobile equipment direct connection users, mobile equipment direct connection users which cannot bring extra gain to a system are eliminated, then channel resources and power of all users are distributed, and distribution efficiency is improved.
Preferably, the mobile device direct access control: the distance between the mobile device direct connected user and the cellular user must satisfy a minimum safe distance d min The signal transmission quality of the co-channel user can be ensured, and for a certain pair of mobile equipment direct-connected users, if the distance between the CU and the receiving end DR of the mobile equipment direct-connected user is greater than d min And the CU selects the multiplexing partner user as the mobile equipment direct connection user, each pair of mobile equipment direct connection users selects the multiplexing partner user in the mode, and then channel and power link distribution is carried out, so that much time for calculating an infeasible solution is saved.
Preferably, the channel allocation and power allocation: under a full-load cellular network, a mobile device direct connection user pair needs to multiplex channel resources of a cellular user CU, and a channel position of each device link point represents a channel multiplexed by an r-th mobile device direct connection user pair:
ch i ={ch i1 ,ch i2 ,…,ch ir },ch ir e C, R e R formula 6
Each pair of mobile equipment direct-connected users selects one user multiplexing channel, ch, from the reusable CU partner users ir Indicating the number of the users of the multiplexed CU, the number of channels being discrete values, and ch being calculated iteratively ir Coding into binary system, substituting formula 5 for calculation, and updating speed according to Sigmoid function
Figure BDA0003610940400000082
Making a determination of v ch And judging the value change on the binary digit if the corresponding speed of the channel exceeds a fixed value range, and realizing the position update of the channel equipment chain point.
The power distribution of the users is carried out while the channel distribution is carried out, the power distribution of the co-channel users is carried out, the co-channel users coordinate with the channel distribution to obtain the optimal resource allocation, and each co-channel user is provided withThe CU power and the direct connection power of the mobile equipment at the equipment link point are respectively
Figure BDA0003610940400000083
And
Figure BDA0003610940400000084
Figure BDA0003610940400000085
Figure BDA0003610940400000091
and the mobile equipment direct-connected user and the cellular user simultaneously carry out power scheduling under the limiting condition of the formula 8, and the optimal power matching value is searched according to the formula 5, so that the position update of the power equipment link point is realized.
Preferably, the channel and power link allocation procedure under the network for the hybrid mobile device direct communication and the cellular communication is as follows:
the first step is as follows: calculating the distance between each pair of mobile equipment direct-connected user receiving ends and a cellular user, determining a CU reuse partner of each pair of mobile equipment direct-connected users according to the minimum safety distance, and performing access control on the mobile equipment direct-connected users;
the second step: initializing all parameters related in the QC direct-connection constraint model, including a self-access factor, a bridge constant, iteration times, maximum values of the position and the speed of a device link point, and an initial position and a speed matrix of the device link point;
the third step: calculating a fitness function value of the initial position;
the fourth step: the method comprises the steps of dividing channel updating and power updating into two parts for scheduling, calculating a new fitness function value after resource scheduling, and updating the positions of a channel equipment chain point and a power equipment chain point respectively;
the fifth step: introducing a variation factor, performing variation operation on the position of the channel equipment chain point and the position of the power equipment chain point respectively, calculating a fitness function value after variation, and if the fitness function value is superior to the existing fitness function value, updating the position information of the equipment chain point;
and a sixth step: if the number of iterations reaches τ max Stopping iteration, outputting the global optimal channel distribution and power distribution parameters and the corresponding fitness function value, and returning to the third step if not;
the output channel allocation and power allocation parameters are the resource allocation scheme, and the corresponding fitness function value is the maximum throughput of the system.
Compared with the prior art, the innovation points and advantages of the application are as follows:
(1) based on the increasing demand of the current near field communication service, the device direct connection communication of the application allows the mobile terminal to directly communicate through sharing cell spectrum resources under the control of the cellular system base station, the mobile device direct connection communication is integrated into the traditional cellular communication network, information transfer can be directly carried out between adjacent users without the relay of the base station, the spectrum efficiency of the network system is improved, the service experience of local services is improved, the communication application is expanded, particularly aiming at the problem that the electromagnetic interference environment is more complicated due to the device direct connection communication, the cellular communication network mobile device direct connection interference coordination and resource configuration method are provided, interference is effectively controlled, and the communication quality of the device direct connection communication and other users is improved, the mobile device direct connection communication of the application works on the authorized frequency band of the cellular communication system, and can enjoy better service quality compared with the prior art, and the direct connection communication user of the mobile equipment can complete the communication process only by initiating a communication request without additionally carrying out related connection verification or pairing, the networking of the communication network becomes more flexible in remote areas such as indoor areas, mountainous areas, forests and water areas and areas such as basements and tunnels where signals cannot reach easily, and the user can freely network according to requirements, so that the system has good expansibility.
(2) The communication distance of the direct connection of the mobile equipment is short, the time delay of a user for transmitting signals can be smaller, the signal transmission rate is higher, the energy consumption of the user for transmitting signals is lower, the improvement design is specially carried out aiming at the electromagnetic interference of a complex network environment, the number of the direct connection users of the mobile equipment is greatly expanded and increased, the direct connection network is not limited to the level of distributing channels and power any more, the extra gain of a system is obtained by distributing resources, the deep analysis of a channel model and the system performance is carried out, a relation model between a single cellular user and a single pair of direct connection users of the mobile equipment is designed, a better result is obtained by using a link distribution mode in the resource configuration, a targeted intelligent algorithm is designed in the resource configuration, the convergence to a local optimal solution in the iterative optimization process is avoided, so that the better system performance is obtained, and the reasonable resource configuration is carried out through a mobile equipment direct connection communication interference coordination mechanism, the communication quality of each common channel user is improved, three efficiency indexes of spectral efficiency, energy consumption and cost are obviously improved, the problem of overlarge load of a base station is solved, and the method has a huge application prospect.
(3) Aiming at the problem of mutual interference among users under a mobile equipment direct connection communication model, the application provides a mobile equipment direct connection access control criterion, a minimum mobile equipment direct connection communication multiplexing unit comprises a single cellular user and a single pair of mobile equipment direct connection users, firstly, a channel model conforming to a direct connection network is set by comparing the throughput of the system before and after the mobile equipment direct connection users join, the mobile device direct connected users and cellular users are then resolved according to the minimum SINR limit and power limit between co-channel users, the access control criterion of the mobile equipment direct-connected user is obtained through derivation, the mobile equipment direct-connected user meeting the criterion is added into the cellular cell to meet the signal transmission quality requirement of the common channel user, the mobile equipment direct-connected user which does not bring extra gain to the system is eliminated at the beginning, the distribution mode is better, and the anti-interference capability of the mobile equipment direct connection of the cellular communication network is stronger.
(4) Aiming at the problems of interference coordination and resource allocation of a mobile equipment direct connection communication model under a full-load cell, a resource allocation method based on the combination of a QC direct connection model and a mobile equipment direct connection access control criterion is provided, firstly, a QC direct connection constraint model is provided and improved, and an update strategy of the QC direct connection constraint model with the best optimization performance is selected as a core algorithm of resource allocation; secondly, performing access control on all mobile equipment direct-connected users joining the cell, and selecting the cell users of which the mobile equipment direct-connected users can multiplex channel resources as potential channel multiplexing users; and finally, link distribution of channels and power is carried out by fusing a direct connection access control rule based on a QC direct connection model and the mobile device, the utilization efficiency of system spectrum is improved, the system capacity is increased, the scheduling burden of a system base station is reduced, less signal interference is generated, the integration of direct connection communication of the mobile device is ensured, the system throughput is improved, the configuration of direct connection resources of mobile communication is optimized, and great effect is achieved on the performance improvement of a hybrid system of the direct connection communication and cellular communication of the mobile device.
Drawings
FIG. 1 is a schematic diagram of a system model of equipment direct connection user multiplexing uplink resources of a cellular communication system
FIG. 2 is a diagram of a self access factor c 1 And c 2 And setting a comparison schematic diagram of the test experiment.
Fig. 3 is a resource configuration diagram based on the QC direct model and mobile device direct access control criteria.
Fig. 4 is a schematic diagram for comparing respective effects of three algorithms when performing resource allocation.
Fig. 5 is a graph of the system throughput variation as the minimum SINR limit for the communicating users varies from 1dB to 10 dB.
Fig. 6 is a schematic diagram illustrating the influence of the maximum distance between the mobile device and the direct user on the communication.
Fig. 7 is a schematic diagram illustrating the influence of the number of direct user accesses on communication by a mobile device.
Detailed description of the invention
The following describes in detail a specific embodiment of the direct connection anti-interference configuration method for a mobile device in a cellular communication network according to the present invention with reference to the accompanying drawings, so that those skilled in the art can better understand the present invention and can implement the method. Those skilled in the art should appreciate that they can readily use the present disclosure as a basis for designing or modifying other structures for carrying out the same purposes of the present disclosure and that such modifications are intended to be included within the scope of the present disclosure.
The essential difference between the direct communication of the mobile equipment and the traditional cellular communication is that whether relay forwarding is carried out through a base station or not, the direct communication of the mobile equipment can reduce the burden of the base station and realize traffic unloading; meanwhile, the direct connection communication of the mobile equipment also has the characteristic of short communication distance, can realize the information transmission with low time delay, low consumption and high speed, improves the utilization efficiency of the system frequency spectrum, and is one of the key technologies of the next generation mobile communication system. However, the introduction of the direct communication of the mobile device also brings a complex electromagnetic interference environment, which brings unavoidable interference to the system, and if the system cannot be effectively controlled, the introduction of the direct communication of the mobile device cannot improve the system performance, but can reduce the system performance. Therefore, the interference coordination mechanism of the direct connection communication of the mobile equipment is provided, and reasonable resource allocation is carried out, so that the maximum benefit of the direct connection communication of the mobile equipment is brought into play.
The method and the device solve the problems of interference coordination and resource allocation mechanism of the mobile equipment direct communication based on the mobile equipment direct communication under the full-load cellular cell model and evolution from a small network model to a large network model.
(1) Aiming at the problem of mutual interference among users under a mobile equipment direct connection communication model, a mobile equipment direct connection access control criterion is provided, wherein a minimum mobile equipment direct connection communication multiplexing unit comprises a single cellular user and a single pair of mobile equipment direct connection users, a channel model which accords with a direct connection network is firstly set by comparing the throughput of the system before and after the mobile equipment direct connection users join, then the mobile equipment direct connection users and the cellular users are analyzed according to the minimum SINR limitation and the power limitation among the common channel users, the mobile equipment direct connection user access control criterion is obtained by derivation, and the mobile equipment direct connection users which meet the criterion are joined into a cellular cell to meet the signal transmission quality requirement of the common channel users;
(2) aiming at the problems of interference coordination and resource allocation of a mobile equipment direct connection communication model under a full-load cell, a resource allocation method based on the combination of a QC direct connection model and a mobile equipment direct connection access control criterion is provided, firstly, a QC direct connection constraint model is provided and improved, and an update strategy of the QC direct connection constraint model with the best optimization performance is selected as a core algorithm of resource allocation; secondly, performing access control on all mobile equipment direct-connected users joining the cell, and selecting the cell users of which the mobile equipment direct-connected users can multiplex channel resources as potential channel multiplexing users; and finally, link distribution of channels and power is carried out by adopting the integration of a direct connection control criterion based on the QC direct connection model and the mobile equipment.
The direct connection communication distance of the mobile equipment is short, so that the system information transmission time delay can be reduced, and the system energy consumption can be reduced; the system spectrum resources can be multiplexed, the system spectrum utilization efficiency is improved, the system capacity is increased, the scheduling burden of a system base station is reduced, inevitable signal interference is brought to the system by the multiplexing characteristics of the mobile device direct connection communication, the problem of resource coordination and allocation of the mobile device direct connection communication needs to be considered when the mobile device direct connection communication is added into a cellular communication system, the access control of a mobile device direct connection user, the channel allocation of the mobile device direct connection user and the power control of the mobile device direct connection user and the cellular user are included, interference coordination between the mobile device direct connection communication and the cellular communication is carried out, and the fact that the mobile device direct connection communication is merged into the system is guaranteed, and the system throughput is improved.
Based on a mobile device direct connection user access control mechanism, the method for allocating channel and power links of a mobile device direct connection user DU and a cellular user CU is adopted, and in order to reduce algorithm complexity, an anti-interference link resource allocation method based on an improved QC direct connection constraint model is provided.
Direct connection model of mobile equipment in cellular communication network
And analyzing and determining a system model conforming to the actual network, and defining a system optimization objective function and related parameters thereof.
Considering the situation that the mobile equipment is added to the direct connection communication under the full load of a single cell, namely, channels in the cell are all distributed to cellular users, and the cellular user channel resources are reused after the mobile equipment direct connection users are added into the cell.
The mobile equipment directly connected and integrated into the cellular system needs to be subjected to spectrum resource multiplexing, and the mobile equipment directly connected user has three advantages for multiplexing uplink resources: firstly, in the current cellular communication system, part of uplink frequency band is not fully utilized, and compared with the downlink frequency band, the power spectral density of the uplink frequency band is 20dB lower; secondly, downlink resources can be saved for other purposes; and thirdly, interference analysis during multiplexing can be simplified, the interfered user during multiplexing the uplink resource is a mobile equipment direct-connection receiving user and a base station, the interfered user during multiplexing the downlink resource is a mobile equipment direct-connection receiving user and a multiplexed cellular user, the only difference of the interference analysis of the base station and the multiplexed cellular user is that the base station and the multiplexed cellular user are the base station, for one cell, only one base station is provided, the number of the cellular users of the multiplexed resource changes along with the multiplexing condition, and the base station can be more or less, the interference analysis can be simplified by considering the multiplexing of the uplink resource, and meanwhile, the base station has stronger signal interference processing capacity compared with the common cellular user.
Therefore, the method and the device realize that the mode selection of the frequency spectrum resource multiplexing mobile device direct communication of the mobile device direct communication is related to the frequency spectrum resource configuration by adopting the uplink resource mode of the multiplexing cellular communication system, the resource configuration modes of direct connection users of the mobile devices in different communication modes are different, and under the condition of full load and on the premise of full load of a cellular cell, the mode selection is considered while the direct connection users of the mobile devices are accessed so as to ensure the respective communication quality of the cellular users and the direct connection users of the mobile devices.
Fig. 1 is a schematic diagram of a system model for reusing uplink resources of a cellular communication system by mobile device direct-connected users, which shows a complete cellular cell, where there are M cellular users CU, N mobile device direct-connected user pairs DU, DT shows a mobile device direct-connected transmission terminal, DR shows a mobile device direct-connected reception terminal, the sets C {1,2, …, M } and D {1,2, …, N } show index sets of cellular users and mobile device direct-connected users, cellular users in the cellular cell just occupy all spectrum resources in the cell, that is, the number of cellular users is the same as the number of channels, N mobile device direct-connected user pairs are added in a fully loaded network, each mobile device direct-connected user pair uses a channel reuse, different mobile device user pairs reuse the same channel resource under the condition of satisfying QoS requirements of users, and N reuses spectrum resources of M cellular users for the mobile device users, the solid lines represent the transmission signals and the dashed lines represent the signal interference between co-channel users. Due to the fact that uplink resources of the system are multiplexed, a signal sent by a mobile device direct-connection sending terminal DT can interfere with a base station, and an interference signal received by a mobile device direct-connection receiving terminal DR comes from a cell user of a common channel. If the interference generated by any channel multiplexed by a direct-connected user of a certain mobile device can not be borne by the co-channel user, namely the SINR of each user is not met, the direct-connected user of the mobile device selects a silent mode at the moment and does not perform data transmission. Meanwhile, when channel allocation of a cellular user and a mobile device direct connection user is performed, information of all channels in a cell owned by a base station, namely complete channel information, is considered.
The channel model adopts a path shadow consumption effect model, and the channel power gain among all users in a full-load cell is as follows:
Figure BDA0003610940400000131
wherein g is i,B Representing the channel gain, g, between the ith cellular user and the base station j Indicating j pair of mobile equipment direct connection user DT j And DR j The gain of the channel in between is increased,
Figure BDA0003610940400000132
indicating that the ith cellular user directly receives user DR to the jth mobile device j The channel gain of the interference is increased by the channel gain,
Figure BDA0003610940400000133
indicating that the jth mobile equipment directly sends the user DT j The channel gain of the interference to the base station,
Figure BDA0003610940400000134
indicating that the kth mobile equipment directly sends user DT k Direct connection receiving user DR for jth mobile device j Channel gain of interference, channel power gain factor g rf Expressed as:
g rf =κ·ζ·ξ·d formula 2
Wherein k and alpha respectively represent a path consumption constant factor and a path consumption exponential factor, zeta represents a fast fading factor obeying exponential distribution, ξ represents a slow fading factor obeying lognormal distribution, and d represents a signal transmission distance;
the mobile equipment direct connection user is accessed to the cellular communication system to bring extra gain, but access restriction exists, the mobile equipment direct connection user needs to simultaneously meet the SINR restriction of the mobile equipment direct connection user and the common channel cellular user, corresponding access control is carried out when the mobile equipment direct connection user is accessed, when the path shadow consumption effect model condition is met, the mobile equipment direct connection user is judged to share the cellular user channel, at the moment, the mobile equipment direct connection user pair is called as an accessible mobile equipment direct connection user pair, the channel of the multiplexed cellular user is a common channel of the mobile equipment direct connection user pair, the set of all the mobile equipment direct connection users which can access the cellular cell is R,
Figure BDA0003610940400000135
which represents the transmit power of the cellular user,
Figure BDA0003610940400000136
and
Figure BDA0003610940400000137
representing the transmit power of the mobile device directly connected to the user,
Figure BDA0003610940400000138
indicates the SINR of the ith cellular user,
Figure BDA0003610940400000139
SINR, n, eta representing the direct connection user of the jth mobile device i,j Representing a multiplexing parameter between cellular user i and mobile device direct connected user j, η when mobile device direct connected user j multiplexes channels of cellular user i i,j When it is not multiplexed, eta of 11 i,j 0, the fitness function of the system is expressed as:
Figure BDA0003610940400000141
Figure BDA0003610940400000142
Figure BDA0003610940400000143
Figure BDA0003610940400000144
Figure BDA0003610940400000145
Figure BDA0003610940400000146
Figure BDA0003610940400000147
Figure BDA0003610940400000148
where, B denotes a channel bandwidth,
Figure BDA0003610940400000149
and
Figure BDA00036109404000001410
respectively representing the minimum SINR constraints for cellular users and mobile device direct users,
Figure BDA00036109404000001411
and
Figure BDA00036109404000001412
respectively, the maximum transmission power of cellular users and mobile equipment direct users.
The physical meaning of the fitness function expressed by the formula 3 is that the system throughput is maximized, the formula 4 and the formula 5 are SINR limiting conditions of cellular users and mobile equipment direct-connected users, the QoS requirements are met when the conditions are met, the constraint condition of the formula 6 expresses that the spectrum resource of one CU can be multiplexed only for any mobile equipment direct-connected user pair, and the constraint condition of the formula 7 expresses that the spectrum resource of one cellular user can be multiplexed by a plurality of mobile equipment direct-connected user pairs at the same time. Formula 8 limits the transmission power range of users in the cellular cell, the transmission power of the mobile terminal is limited, the maximum transmission power exists, the communication distance of direct communication of the mobile equipment is short, the cellular user and the direct communication user of the mobile equipment have different maximum transmission powers, and the DU transmission power is smaller than that of the CU, namely
Figure BDA00036109404000001413
Second, device direct connection QC constraint method
QC direct connection constraint model
The QC direct connection constraint model adopts an iteration mode, and the solving process is as follows: firstly, initializing a device chain point group, wherein each device chain point in the group has respective position and speed, the position of each device chain point represents a possible solution, a fitness function exists to represent the quality of all the device chain point solutions, after the fitness value of each device chain point is calculated, an individual extreme value and a group extreme value are found, then speed updating and position updating are started, the fitness value is recalculated after the device chain point updates the position each time, the individual extreme value and the group extreme value are updated, each device chain point updates the position and the speed according to the individual extreme value, the group extreme value and the position, iteration is carried out until the termination condition is finally met, and the optimal solution is converged.
Assume that a device group consists of a device chain points, i.e., p ═ p 1 ,p 2 ,…,p a Each device chain point is described by a position and velocity, device chain point p i The position in d-dimensional solution space is denoted x i ={x i1 ,x i2 ,…,x id V, velocity is expressed as v i ={V i1 ,V i2 ,…,V id }, device chaining point p i For individual extremum of (2) padv i And expressing, expressing the group extremum by gadv, and following the same updating rule for each equipment chain point:
Figure BDA0003610940400000151
where ω is the bridge constant, c 1 And c 2 Is a self access factor, k 1 、k 2 Are distributed in [0,1 ]]And tau is the iteration number of the device link point.
Device chaining point p i Updated speed of
Figure BDA0003610940400000152
Is the front velocity
Figure BDA0003610940400000153
And
Figure BDA0003610940400000154
vector sum of (2), new location of device chaining point
Figure BDA0003610940400000155
Old location and update speed
Figure BDA0003610940400000156
The position update of the equipment link point is related to the information of the equipment link point and the information of other equipment link points, and iteration and search are continuously carried out according to the position update until a preset condition is met; defining a parameter V max So that the search range of the device link point is limited to [ -V ] max ,Y max ]In range, when the device chain point p i If the speed exceeds this range, the value outside the range is set as the nearest boundary value.
Parameter setting of (II) QC direct connection constraint model
(1) Self access factor
c 1 And c 2 Respectively determining the action size of the individual extreme value in the speed update and the action size of the group extreme value in the speed update for the self-access factor, expanding the network topology to a full-load cell model, and solving c 1 And c 2 The bridge constant ω here takes 1, and the result is shown in fig. 2. c. C 1 And c 2 Best solution effect when each dynamically changes, c 1 Gradually decrease from 2.5 to 0.5, c 2 Gradually increasing from 0.5 to 2.5.
(2) Bridge constant
The bridge constant omega is the capability of inheriting the previous speed of the current speed of the equipment link point, the bridge constant is at a larger value firstly, the global search is carried out at the initial stage of the optimizing search, the bridge constant is gradually reduced along with the iteration, and the effective local search is carried out at the later stage; under the condition of omega dynamic change, the solution process does not fall into suboptimal solution, omega changes slowly at the beginning, the global search capability of the algorithm is stronger at the initial optimization stage, the situation of discarding the optimal solution is stopped from the beginning, the change is gradually accelerated along with the increase of the iteration times at the later stage, the local search is performed in the range close to the optimal solution, and based on the optimization effect and the convergence performance, the bridge constant adopts the dynamic change in the form of the formula 6:
Figure BDA0003610940400000157
wherein, ω is s Represents the bridge constant start value, ω e Represents the end value of the bridge constant, k represents the current iteration number of the iteration optimization, τ max The maximum number of iterations is indicated.
Updating strategy of (III) QC direct connection constraint model
A cross interchange method is integrated into the QC direct-connection constraint model, so that the QC direct-connection constraint model can carry out global search to the greatest extent in the search process, avoids trapping in suboptimal solution,
the sudden change factor processes the position of the current equipment chain point, a certain point in the equipment chain point is randomly adopted to generate sudden change, so that the variable factor is introduced, the two variable factors introduce the variable factor into the QC direct-connection constraint model, and the phenomenon that the target function value is locally optimal and is near wandering all the time is avoided.
Resource allocation based on QC direct connection model and mobile device direct connection access control criterion
Under the full-load cellular network, access control analysis is firstly carried out on the mobile equipment direct connection users, the mobile equipment direct connection users which cannot bring extra gain to the system are eliminated, then channel resources and power of all the users are distributed, and distribution efficiency is improved.
Direct access control for mobile device
The distance between the mobile device direct connected user and the cellular user must satisfy a minimum safe distance d min The signal transmission quality of the co-channel user can be ensured, and for a certain pair of mobile equipment direct-connected users, if the distance between the CU and the receiving end DR of the mobile equipment direct-connected user is greater than d min And the CU selects the multiplexing partner user as the mobile equipment direct connection user, each pair of mobile equipment direct connection users selects the multiplexing partner user through the method, and then channel and power link distribution is carried out, so that much time for calculating an infeasible solution is saved, and the resource allocation efficiency is improved.
(II) channel allocation and Power allocation
Under a full-load cellular network, a mobile device direct-connected user pair needs to multiplex channel resources of a cellular user CU, and a channel position of each device link point represents a channel multiplexed by an r-th mobile device direct-connected user pair:
ch i ={ch i1 ,ch i2 ,…,ch ir },ch ir is epsilon of C, R is epsilon of R formula 6
Each pair of mobile equipment direct-connected users selects one user multiplexing channel, ch, from the reusable CU partner users ir Indicating the number of the users of the multiplexed CU, the number of channels being discrete values, and ch being calculated in an iterative process ir Coding into binary system, substituting formula 5 for calculation, and updating speed according to Sigmoid function
Figure BDA0003610940400000161
Making a determination of v ch And judging the value change on the binary digit if the corresponding speed of the channel exceeds a fixed value range, and realizing the position update of the channel equipment chain point.
The power distribution of users is carried out while the channel distribution is carried out, the power distribution of the co-channel users is carried out, the co-channel users coordinate with the channel distribution to obtain the optimal resource configuration, and the CU power of each equipment link point and the direct connection power position of the mobile equipment are respectively
Figure BDA0003610940400000162
And
Figure BDA0003610940400000163
Figure BDA0003610940400000164
Figure BDA0003610940400000165
and the mobile equipment direct-connected user and the cellular user simultaneously carry out power scheduling under the limiting condition of the formula 8, and the optimal power matching value is searched according to the formula 5, so that the position update of the power equipment link point is realized.
(III) resource allocation process of hybrid network
The channel and power link allocation process under the network for the hybrid mobile device direct communication and the cellular communication is as follows:
the first step is as follows: calculating the distance between each pair of mobile equipment direct-connected user receiving ends and a cellular user, determining a CU reuse partner of each pair of mobile equipment direct-connected users according to the minimum safety distance, and performing access control on the mobile equipment direct-connected users;
the second step is that: initializing all parameters related to the QC direct connection constraint model, including a self-access factor, a bridge constant, iteration times, maximum values of the position and the speed of a device link point, and an initial position and a speed matrix of the device link point;
the third step: calculating a fitness function value of the initial position;
the fourth step: the method comprises the steps of performing scheduling by dividing into a channel updating part and a power updating part, calculating a new fitness function value after resource scheduling, and updating the positions of a channel equipment link point and a power equipment link point respectively;
the fifth step: introducing a variation factor, performing variation operation on the position of the channel equipment chain point and the position of the power equipment chain point respectively, calculating a fitness function value after variation, and if the fitness function value is superior to the existing fitness function value, updating the position information of the equipment chain point;
and a sixth step: if the number of iterations reaches τ max Stopping iteration, outputting the global optimal channel allocation and power allocation parameters and the corresponding fitness function values, and returning to the third step if not;
the resource allocation flow is shown in fig. 3. The output channel allocation and power allocation parameters are the resource allocation scheme, and the corresponding fitness function value is the maximum throughput of the system.
Fourth, experimental results and analysis
Further give the relevant experimental analysis, where M-10 and N-20. Under the condition of full load of a cellular cell, a QC direct connection constraint model is adopted to allocate wireless resources, and the allocation is divided into two conditions, wherein one condition is that mobile equipment is directly connected and accessed before resource allocation, and the other condition is that the mobile equipment is not directly connected and accessed, and the allocation mode is compared with the allocation mode of prior art that the channel is allocated firstly and then the power is allocated. The analyzed content comprises optimization effect comparison of three algorithms, influence of minimum SINR limitation on mobile equipment direct connection communication, influence of maximum distance between mobile equipment direct connection users on the mobile equipment direct connection communication and influence of mobile equipment direct connection user access quantity on the mobile equipment direct connection communication. The resource allocation method based on the QC direct-connection model and the direct-connection access control criterion of the mobile equipment is represented by ' the method 1 ' of the application, the algorithm 2 ' of the application represents a constraint link allocation method based on the QC direct-connection model, the only difference with the method 1 of the application is that the direct-connection access control of the mobile equipment is not carried out, and the prior art represents a method of allocating power after allocating channels.
(1) Method effect comparison
Fig. 4 shows a comparison of respective effects of three algorithms when performing resource allocation, and it can be seen from the figure that the system throughput of independently allocating resources in the prior art is not as good as that of two algorithms performing link resource allocation, because there is a linkage relationship between channel allocation and power allocation of users, different channel allocations should have different power allocations, and the two should exchange information with each other in the process of continuously iterative updating, so as to obtain an optimal resource allocation scheme, whereas in the prior art, a channel is first fixed, then power allocation is performed, and a more optimal allocation scheme is missed. The algorithm for adding the mobile equipment direct connection user access control into the two algorithms for link resource configuration is better, because the scheme excludes the mobile equipment direct connection user which does not bring extra gain to the system at the beginning, the distribution mode is better.
(2) Impact of minimum SINR limitations on mobile device direct communication
Fig. 5 shows the change in system throughput when the minimum SINR limit for the communicating user changes from 1dB to 10 dB. As the minimum SINR limit of the user increases, the system throughput gradually decreases. The minimum SINR limiting condition is to ensure the minimum transmission requirement of the user co-channel user, so that the signal of each user is hardly interfered by the co-channel user signal. When the minimum SINR limit of a user increases, the requirement for user access increases and users that do not meet the SINR conditions cannot access the cellular system. The mobile equipment directly connected with the user needing to be accessed must meet two conditions of distance and power to bring extra gain to the system.
As can be seen from FIG. 5, the system throughput of methods 1 and 2 of the present application at the highest SINR requirement is higher than the system throughput at the lowest SINR requirement of the prior art, and the system throughput of the algorithm of the present application decreases more slowly than that of the prior art as the SINR requirement gradually increases. From the above two points, in a system with the same SINR requirement, compared with the prior art in which the channel allocation is performed first and then the power allocation is performed, the link resource allocation method of the present application can exhibit better optimization performance. And the prior art is more sensitive to the SINR limiting condition than the algorithm, so that the algorithm can still show better optimizing performance in a system with higher SINR requirement.
(3) Influence of maximum distance between mobile equipment and direct-connected users on mobile equipment direct-connected communication
When a system topological structure is constructed, all users are randomly distributed in a cell range. Because the direct connection communication distance of the mobile equipment is short, the maximum distance between the direct connection user pairs of the mobile equipment is set, and the distance between the two users cannot exceed the value. The distance varies from 10m to 100m,
as can be seen from fig. 6, in the process that the maximum distance between the users directly connected to the mobile device changes from 10 to 30, the system throughput is rapidly reduced, and the difference value exceeds 100Mbps, so that for a system joining the mobile device direct communication, in order to obtain a larger system throughput, the distance between the pair of users directly connected to the mobile device should be controlled within a shorter distance, so that the gain brought to the system is more obvious, and the effect of the mobile device direct communication can be more highlighted. Meanwhile, when the distance between the mobile equipment and the direct-connected users reaches 60m, the algorithm can reach the system throughput level when the distance between the mobile equipment and the direct-connected users is 20m in the prior art, so that in a system with fixed requirements on the system throughput, users with different distances can be more flexibly adopted as the mobile equipment and direct-connected user pairs by adopting the algorithm.
(4) Influence of mobile equipment direct connection user access quantity on mobile equipment direct connection communication
The mobile equipment is directly connected with the user and added into the cellular system, and the system obtains extra gain by multiplexing cellular user resources. The effect of the mobile equipment direct-connected users accessing the cellular communication system is discussed by controlling the access quantity of the mobile equipment direct-connected users. The cellular user M remains unchanged at 10, the ratio of the number of mobile device direct connected users N to the number of cellular users M increases from 0.2 to 2, observing the change in system throughput. As shown in fig. 7, as the access ratio increases, the throughput of the system gradually increases. The addition of the mobile equipment direct-connected users can bring extra gain to a cellular system, and when the proportion of the number of the mobile equipment direct-connected users to the number of the cellular users is in the interval of [0.2,2], the system throughput is gradually increased along with the increase of the mobile equipment direct-connected users.
As can be seen from fig. 7, the addition of the directly connected users of the mobile device can bring extra gain to the system, but the premise here is that the maximum ratio of the number of the directly connected users of the mobile device to the number of the cellular users is 2, and when the number of the directly connected users of the device exceeds a certain scale, no extra gain is brought by increasing the number of the directly connected users of the device, so the number of the directly connected users of the mobile device in the system should be reasonably controlled; when the ratio of the mobile equipment direct-connected users to the cellular users is larger than 0.6, the optimization effect of the two methods is gradually highlighted, and the gain can reach about 20 Mbps.
Through the experimental analysis of the above groups, the application shows good effect in different environments. Compared with the method of first channel allocation and then power allocation in the prior art, the method 1 shows better performance, and the link allocation algorithm with the addition of the mobile equipment direct connection control has better optimization effect than that without the addition, so the method 1 is the optimal algorithm in the three methods, the mobile equipment direct connection access control criterion and the link resource allocation mode bring extra gain to the system, and the purpose of improving the system performance by the resource allocation is achieved.
Experiments show that for a cellular system joining a mobile device and a direct connection communication user, other factors can affect the information transmission performance of the hybrid system, wherein the factors include the minimum SINR limit of the user, the distance between the mobile device and the direct connection user, and the number of the mobile device and the direct connection user accessing the cellular system. As can be seen from fig. 5, the method for allocating channel first and then allocating power is not sensitive to the SINR limiting condition, and has a positive effect on the resource allocation problem of the system with a higher SINR requirement; as can be seen from fig. 6, when the distance between the mobile device and the direct-connected user is controlled within a small range, the additional gain brought to the system is more obvious; as can be seen from fig. 7, on the premise of limiting the number of the mobile device directly connected users, the mobile device directly connected communication can bring extra gain to the system, and when the size of the mobile device directly connected users is large, the optimization effect of the system is more obvious. Therefore, the influence of each factor on the system should be considered comprehensively, and for a system with a higher SINR requirement, it is required to ensure that the system has higher throughput, appropriately reduce the distance between directly connected users of the mobile device, or appropriately increase the number of directly connected users of the mobile device on the basis that the system is acceptable. For a system with a large number of mobile equipment direct-connected users, the distance between the mobile equipment direct-connected users is properly reduced to improve the throughput of the system.

Claims (10)

1. A direct connection anti-interference configuration method for a cellular communication network mobile device is characterized in that: the method comprises the following steps that firstly, a cellular communication network mobile equipment direct connection model is adopted; the device direct connection QC constraint method comprises a QC direct connection constraint model, parameter setting of the QC direct connection constraint model and an updating strategy of the QC direct connection constraint model; thirdly, resource allocation based on a QC direct connection model and a mobile device direct connection access control criterion comprises a mobile device direct connection access control process, a channel allocation process, a power allocation process and a hybrid network resource allocation process;
the method for coordinating and allocating the resources of the direct connection communication of the mobile equipment is provided, wherein the method comprises access control of a direct connection user of the mobile equipment, channel allocation of the direct connection user of the mobile equipment and power control of the direct connection user of the mobile equipment and a cellular user, and comprises the steps of adopting a channel and power link allocation method of a direct connection user DU of the mobile equipment and a cellular user CU of the mobile equipment, performing interference coordination and resource allocation between the direct connection communication of the mobile equipment and the cellular communication, and improving the throughput of the system through integration of the direct connection communication of the mobile equipment:
firstly, aiming at the problem of mutual interference among users under a mobile equipment direct connection communication model, providing a mobile equipment direct connection access control criterion, firstly, setting a channel model which accords with a direct connection network by comparing the throughput of the system before and after the mobile equipment direct connection user joins in, then analyzing the mobile equipment direct connection user and a cellular user according to the minimum SINR limit and the power limit among the co-channel users, deriving the mobile equipment direct connection user access control criterion, and joining the mobile equipment direct connection user which meets the criterion into the cellular cell to meet the signal transmission quality requirement of the co-channel user;
secondly, aiming at the problems of interference coordination and resource allocation of a mobile equipment direct connection communication model under a full-load cell, a resource allocation method based on the combination of a QC direct connection model and a mobile equipment direct connection access control criterion is provided, firstly, a QC direct connection constraint model is provided and improved, and an update strategy of the QC direct connection constraint model with the best optimization performance is selected as a core algorithm of resource allocation; and secondly, performing access control on all mobile equipment direct-connected users joining the cell, selecting the cell users of which the mobile equipment direct-connected users can reuse channel resources as potential channel reuse users, and finally performing link allocation of channels and power by adopting the fusion of a QC direct-connection-based model and a mobile equipment direct-connection access control criterion.
2. The method of claim 1, wherein the cellular communication network mobile device direct connection interference rejection model is: considering the situation that the mobile equipment is added to the direct communication under the full load of a single cell, namely, channels in the cell are all allocated to cellular users, and the cellular user channel resources are reused after the mobile equipment direct connection users are added into the cell;
the method comprises the steps that the mode selection of the frequency spectrum resource multiplexing mobile equipment direct connection communication of the mobile equipment direct connection communication is realized by adopting a mode of multiplexing uplink resources of a cellular communication system and is related to frequency spectrum resource allocation, and on the premise of full load of a cellular cell, the mode selection is considered while the mobile equipment direct connection user is accessed, so that the respective communication quality of a cellular user and the mobile equipment direct connection user is ensured;
in a system model of reusing uplink resources of a cellular communication system by mobile equipment direct-connected users, in a complete cellular cell, M cellular users CU, N mobile equipment direct-connected user pairs DU, DT represents a mobile equipment direct-connected transmitting terminal, DR represents a mobile equipment direct-connected receiving terminal, index sets of cellular users and mobile equipment direct-connected users are represented by sets of C ═ 1,2, …, M } and D ═ 1,2, …, N }, cellular users in the cellular cell just occupy all spectrum resources in the cell, namely the number of cellular users is the same as the number of channels, N mobile equipment direct-connected user pairs are added under a full-load network, each mobile equipment direct-connected user pair adopts a channel reuse, different mobile equipment direct-connected user pairs reuse the same channel resource under the condition of meeting the QoS requirements of users at the same time, and N pair of mobile equipment direct-connected users reuse the spectrum resources of M cellular users, if interference generated by multiplexing any one channel by a mobile equipment direct-connected user cannot be borne by the common-channel user, namely the interference does not meet the SINR of the user, the mobile equipment direct-connected user selects a silent mode at the moment and does not perform data transmission; meanwhile, when channel allocation of a cellular user and a mobile device direct connection user is carried out, information of all channels in a cell owned by a base station, namely complete channel information, is considered;
the channel model adopts a path shadow consumption effect model, and the channel power gain among all users in a full-load cell is as follows:
Figure FDA0003610940390000021
wherein g is i,B Representing the channel gain, g, between the ith cellular user and the base station j Indicating j to mobile equipment direct connection user DT j And DR j The gain of the channel in between (a) and (b),
Figure FDA0003610940390000022
indicating that the ith cellular user directly receives user DR to the jth mobile device j The channel gain of the interference is increased by the channel gain,
Figure FDA0003610940390000023
indicating that the jth mobile device directly connects to the sending user DT j The channel gain of the interference to the base station,
Figure FDA0003610940390000024
to representDirectly connecting and sending user DT by kth mobile equipment k Direct connection receiving user DR for jth mobile device j Channel gain of interference, channel power gain factor g rf Expressed as:
g rf =κ·ζ·ξ·d formula 2
Wherein κ and α represent a path consumption constant factor and a path consumption exponential factor, respectively, ζ represents a fast fading factor subject to exponential distribution, ξ represents a slow fading factor subject to lognormal distribution, and d represents a signal transmission distance;
the mobile equipment direct connection user is accessed to a cellular communication system to bring extra gain, the mobile equipment direct connection user needs to simultaneously meet the SINR limits of the mobile equipment direct connection user and a common channel cellular user, corresponding access control is carried out when the mobile equipment direct connection user is accessed, when the path shadow consumption effect model condition is met, the mobile equipment direct connection user is judged to share the cellular user channel, at the moment, the mobile equipment direct connection user pair is called as an accessible mobile equipment direct connection user pair, the channel of a multiplexed cellular user is a common channel of the mobile equipment direct connection user pair, and the set of all the mobile equipment direct connection users which can access a cellular cell is made to be R,
Figure FDA0003610940390000025
P i C which represents the transmit power of the cellular user,
Figure FDA0003610940390000026
and
Figure FDA0003610940390000027
representing the transmit power of the mobile device directly connected to the user,
Figure FDA0003610940390000028
indicating the SINR of the ith cellular user,
Figure FDA0003610940390000031
indicating a j' th mobile device directly connected to the userSINR,n.,η i,j Representing a multiplexing parameter between cellular user i and mobile device direct connected user j, η when mobile device direct connected user j multiplexes channels of cellular user i i,j When not multiplexed, eta is 11 i,j 0, the fitness function of the system is expressed as:
Figure FDA0003610940390000032
Figure FDA0003610940390000033
Figure FDA0003610940390000034
Figure FDA0003610940390000035
Figure FDA0003610940390000036
Figure FDA0003610940390000037
Figure FDA0003610940390000038
Figure FDA0003610940390000039
where, B denotes a channel bandwidth,
Figure FDA00036109403900000310
and
Figure FDA00036109403900000311
respectively representing the minimum SINR constraints for cellular users and mobile device direct users,
Figure FDA00036109403900000312
and
Figure FDA00036109403900000313
respectively representing the maximum transmitting power of a cellular user and a mobile equipment direct-connected user;
the physical meaning of the fitness function expressed by the formula 3 is that the system throughput is maximized, the formula 4 and the formula 5 are SINR (signal to interference and noise ratio) limiting conditions of cellular users and mobile equipment direct-connected users, the QoS (quality of service) requirements can be met when the conditions are met, the formula 6 constraint conditions indicate that the frequency spectrum resources of only one CU (central office) can be multiplexed for any mobile equipment direct-connected user pair, the formula 7 constraint conditions indicate that the frequency spectrum resources of one cellular user can be simultaneously multiplexed by a plurality of mobile equipment direct-connected user pairs, the formula 8 limits the transmission power range of users in a cellular cell, the transmission power of a mobile terminal is limited, the maximum transmission power exists, the communication distance of the mobile equipment direct-connected communication is short, the cellular users and the mobile equipment direct-connected users have different maximum transmission powers, and the DU transmission power is smaller than the transmission power of the CU, namely the DU transmission power is smaller than the transmission power of the CU
Figure FDA00036109403900000314
3. The method for direct connection interference rejection configuration of a cellular communication network mobile device according to claim 1, wherein the QC direct connection constraint model: adopting an iteration mode, the solving process is as follows: firstly, initializing a device chain point group, wherein each device chain point in the group has respective position and speed, the position of each device chain point represents a possible solution, a fitness function exists to represent the quality of all the device chain point solutions, after the fitness value of each device chain point is calculated, an individual extreme value and a group extreme value are found out, then speed updating and position updating are started, the fitness value is recalculated after the device chain point updates the position each time, the individual extreme value and the group extreme value are updated, each device chain point updates the position and the speed according to the individual extreme value, the group extreme value and the position thereof, iteration is continuously carried out until a termination condition is finally met, and the optimal solution is converged;
assume that a device group consists of a device chain points, i.e., p ═ p 1 ,p 2 ,…,p a Each device chain point is described by position and velocity, device chain point p i The position in d-dimensional solution space is denoted as x i ={x i1 ,x i2 ,…,x id Velocity is denoted v i ={V i1 ,V i2 ,…,V id }, device chaining point p i For individual extremum of (2) padv i And expressing, expressing the group extremum by gadv, and following the same updating rule for each equipment chain point:
Figure FDA0003610940390000041
where ω is the bridge constant, c 1 And c 2 Is a self access factor, k 1 、k 2 Is distributed in [0,1 ]]The random number is the number of times of iteration of the equipment chain point;
device chaining point p i Updated speed of
Figure FDA0003610940390000042
Is the front velocity
Figure FDA0003610940390000043
Figure FDA0003610940390000044
And
Figure FDA0003610940390000045
vector sum of (1), new location of device chaining point
Figure FDA0003610940390000046
Old location and update speed
Figure FDA0003610940390000047
The position update of the equipment link point is related to the information of the equipment link point and the information of other equipment link points, and iteration and search are continuously carried out according to the position update until a preset condition is met; defining a parameter V max So that the search range of the device link point is limited to [ -V ] max ,Y max ]In range, when the device chain point p i If the speed of (2) exceeds this range, the value outside the range is set as the nearest boundary value.
4. The method for direct connection anti-interference configuration of the mobile devices in the cellular communication network according to claim 1, wherein the self-access factor of the QC direct connection constraint model is set as follows: c. C 1 And c 2 Respectively determining the action size of the individual extremum in the speed update and the action size of the group extremum in the speed update for the self-access factor, expanding the network topology to a full-load cellular cell model, and solving for c 1 And c 2 Where the bridge constant ω takes 1, c 1 And c 2 Best solution effect when each dynamically changes, c 1 Gradually decrease from 2.5 to 0.5, c 2 Gradually increasing from 0.5 to 2.5.
5. The cellular communication network mobile device direct connection interference rejection configuration method of claim 1, wherein bridge constants of the QC direct connection constraint model are set as: the bridge constant omega is the capability of the current speed of the equipment link point to inherit the previous speed, the bridge constant is at a larger value firstly, the global search is carried out at the initial stage of the optimizing search, the bridge constant is gradually reduced along with the iteration, and the effective local search is carried out at the later stage; under the condition of omega dynamic change, the solution process does not fall into suboptimal solution, omega changes slowly at the beginning, the global search capability of the algorithm is stronger at the initial optimization stage, the situation of discarding the optimal solution is stopped from the beginning, the change is gradually accelerated along with the increase of the iteration times at the later stage, the local search is performed in the range close to the optimal solution, and based on the optimization effect and the convergence performance, the bridge constant adopts the dynamic change in the form of the formula 6:
Figure FDA0003610940390000048
wherein, ω is s Representing the start value of the bridge constant, ω e Represents the end value of the bridge constant, k represents the current iteration number of the iteration optimization, τ max The maximum number of iterations is indicated.
6. The method for direct connection interference rejection configuration of a mobile device in a cellular communication network of claim 1, wherein the QC direct connection constraint model update strategy is: a cross interchange method is integrated into the QC direct-connection constraint model, so that the QC direct-connection constraint model can carry out global search to the greatest extent in the search process, avoids trapping in suboptimal solution,
the abrupt change factors process the current equipment chain point position, and one of the equipment chain point positions is randomly adopted to generate abrupt change, so that the variable factors are introduced, the two variable factors introduce the variable factors into the QC direct-connection constraint model, and the target function value is prevented from wandering around in the local optimal detachment mode all the time.
7. The method for direct connection interference rejection configuration of mobile devices in cellular communication networks according to claim 1, wherein the resource configuration based on the QC direct connection model and the mobile device direct connection access control criteria is: under a full-load cellular network, access control analysis is firstly carried out on mobile equipment direct connection users, mobile equipment direct connection users which cannot bring extra gain to a system are eliminated, then channel resources and power of all users are distributed, and distribution efficiency is improved.
8. The method of claim 2, wherein the mobile device directly connected to the anti-interference configuration control: moveThe distance between the device-direct-connected user and the cellular user must satisfy a minimum safety distance d min The signal transmission quality of the co-channel user can be ensured, and for a certain pair of mobile equipment direct-connected users, if the distance between the CU and the receiving end DR of the mobile equipment direct-connected user is greater than d min And the CU selects the multiplexing partner user as the mobile equipment direct connection user, each pair of mobile equipment direct connection users selects the multiplexing partner user in the mode, and then channel and power link distribution is carried out, so that much time for calculating an infeasible solution is saved.
9. The method of claim 1 in which channel allocation and power allocation are performed in the following order: under a full-load cellular network, a mobile device direct-connected user pair needs to multiplex channel resources of a cellular user CU, and a channel position of each device link point represents a channel multiplexed by an r-th mobile device direct-connected user pair:
ch i ={ch i1 ,ch i2 ,…,ch ir },ch ir e C, R e R formula 6
Each pair of mobile equipment direct-connected users selects one user multiplexing channel, ch, from the reusable CU partner users ir Indicating the number of the users of the multiplexed CU, the number of channels being discrete values, and ch being calculated iteratively ir Coding into binary system, substituting formula 5 for calculation, and updating speed according to Sigmoid function
Figure FDA0003610940390000051
Making a determination of v ch If the corresponding speed of the channel exceeds a fixed value range, the change of the value on the binary bit is judged, and the position update of a channel equipment chain point is realized;
the power distribution of users is carried out while the channel distribution is carried out, the power distribution of the co-channel users is carried out, the co-channel users coordinate with the channel distribution to obtain the optimal resource configuration, and the CU power of each equipment link point and the direct connection power position of the mobile equipment are respectively
Figure FDA0003610940390000052
And
Figure FDA0003610940390000053
Figure FDA0003610940390000054
Figure FDA0003610940390000055
and the mobile equipment direct-connected user and the cellular user simultaneously carry out power scheduling under the limiting condition of the formula 8, and the optimal power matching value is searched according to the formula 5, so that the position update of the power equipment link point is realized.
10. The method of claim 1, wherein the flow of network downlink channel and power link assignment for hybrid mobile device direct communication and cellular communication is as follows:
the first step is as follows: calculating the distance between each pair of mobile equipment direct-connected user receiving ends and a cellular user, determining a CU reuse partner of each pair of mobile equipment direct-connected users according to the minimum safety distance, and performing access control on the mobile equipment direct-connected users;
the second step is that: initializing all parameters related to the QC direct connection constraint model, including a self-access factor, a bridge constant, iteration times, maximum values of the position and the speed of a device link point, and an initial position and a speed matrix of the device link point;
the third step: calculating a fitness function value of the initial position;
the fourth step: the method comprises the steps of performing scheduling by dividing into a channel updating part and a power updating part, calculating a new fitness function value after resource scheduling, and updating the positions of a channel equipment link point and a power equipment link point respectively;
the fifth step: introducing a variation factor, performing variation operation on the position of the channel equipment chain point and the position of the power equipment chain point respectively, calculating a fitness function value after variation, and if the fitness function value is superior to the existing fitness function value, updating the position information of the equipment chain point;
and a sixth step: if the number of iterations reaches τ max Stopping iteration, outputting the global optimal channel allocation and power allocation parameters and the corresponding fitness function values, and returning to the third step if not;
the output channel allocation and power allocation parameters are the resource allocation scheme, and the corresponding fitness function value is the maximum throughput of the system.
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