CN106658557A - Hybrid network resource optimization method based on heterogeneous service - Google Patents

Hybrid network resource optimization method based on heterogeneous service Download PDF

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Publication number
CN106658557A
CN106658557A CN201610919772.4A CN201610919772A CN106658557A CN 106658557 A CN106658557 A CN 106658557A CN 201610919772 A CN201610919772 A CN 201610919772A CN 106658557 A CN106658557 A CN 106658557A
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optimization
sub
network resource
business stream
user
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黄东
杨涌
龙华
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14—Network analysis or design
    • H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14—Network analysis or design
    • H04L41/142—Network analysis or design using statistical or mathematical methods

Abstract

Provided is a hybrid network resource optimization method based on heterogeneous service. For the problem that it is difficult for an existing network to realize collaborative optimization planning under the condition of heterogeneous service transmission, the method, by establishing a network resource optimization model and carrying out equivalent engineering treatment and cache capacity optimization, realizes network resource flexible optimization management meeting heterogeneous service transmission.

Description

A kind of hybrid network resource optimization method based on heterogeneous service
Technical field
The present invention relates to communication network field, more particularly to queueing theory, and optimum theory.
Background technology
With the fast development of wireless communication technology, wireless communication system just towards the direction of hoist capacity develop it is same When, wireless communication system is also highlighted further for the impact of ecological environment and social and economic activities.With Information ＆ Communication Technology Industry is developed rapidly, and its annual energy ezpenditure also growing with each passing day.
Green radio communication is a new generation proposed on the basis of to lift traditional wireless communication of the network capacity as objective Radio communication theory.Its main purpose is energy efficient transmission technology, radio resource management techniques, the interference elimination skill by innovating Art, networking technology and low-power consumption process manufacturing technology etc., reduce network energy consumption while customer service demand is met, from And energy-saving and emission-reduction, reduce the wasting of resources and the pollution to environment.Therefore, the wireless communication system of high energy efficiency, particularly network set It is standby, for there are positive meaning in society and operator；The wireless communication system of high energy efficiency, the society for more meeting energy-conserving and environment-protective will Ask, with higher competitiveness；The wireless communication system of high energy efficiency, can more reduce the operation cost of operator, expand channel radio The market of letter.
Therefore, the development of green radio communication has been subjected to extensive concern, and is used to improve the height of network energy efficiency The efficiency communication technology is also launched and is made some progress from the various aspects of wireless communication system.Based on high efficient design, Digital Signal Processing is all the basis of green Development of Wireless Communications.Make internal disorder or usurp for the algorithm and the communication technology of high energy efficiency grind, it is first First study impact and net that different network energy consumption model and network energy efficiency evaluation index are designed for the high energy efficiency communication technology Balance relationship between network capacity and energy efficiency；According to network dynamic situation, how research utilizes the change of network traffic load Change the control strategy that base station energy-saving is realized with the diversity of QoS of customer；Meanwhile, network self-adapting optimization has become nothing One important trend of line communication system development, is independently collected by network, analyze the network information, and independently carry out decision-making with Adjustment, not only can obtain the overall lifting of network performance, additionally it is possible to be effectively reduced network operation cost in addition, for The technical need of Future cellular GSM and challenge, including the energy efficient networking method, dynamic of heterogeneous hierarchical wireless network State cell is slept and wake-up mechanism, high energy efficiency collaborative process algorithm, high energy efficiency multi-antenna transmission strategy and high energy efficiency Radio Resource Management strategy has also all expanded deep grinding and has made internal disorder or usurp, and the mixed network structure based on heterogeneous service is as shown in Figure 1.
In sum, how on the premise of maintaining capacity of communication system to lift speed, using the high energy efficiency communication technology come The efficiency of whole network resource is lifted, and then reduces radio communication operation cost, be very urgent and significant work.
The content of the invention
The technical problem to be solved is：By setting up network resource optimization model, carrying out equivalent project treatment With buffer memory capacity optimization, realize meeting the Internet resources elasticity optimum management of heterogeneous service transmission, as shown in Figure 2.
The present invention is comprised the following steps to solve the technical scheme that above-mentioned technical problem is adopted, as shown in Figure 3：
A, set up network resource optimization model；
B, carry out equivalent project treatment；
C, buffer memory capacity optimization, as shown in Figure 4.
In step A, Optimized model is specially：WhereinFor the use on subcarrier n The instantaneous data rates of family k, pk,nFor the power for user k distribution on subcarrier n, hk,nFor the letter of the user k on subcarrier n Road gain, B is network average bandwidth, and N is carrier number,For the convergence data rate of user k, TslotFor time slot Length, ΩkTo distribute to the t easet ofasubcarriers of user k, WkFor the weight factor of user k, QkFor the queue of user k, K is user Number, PS is packet switch domain, pTFor through-put power higher limit, N0For noise power spectral density average.
s.t. pk,n≥0,
RkTslot≤Qk,
Ωk∩Ωj=φ (k ≠ j)
In step B, equivalent project treatment is specially：Using rule WhereinFor the propagation delay time estimation of l-th packet, Sk,i,lL-th packet for user k is passed through The time delay error of link i, Dk,i,lIt is l-th data package size of the user k through link i, J is number of links, and η ∈ (01) are Weight coefficient, M is the number of data packets in queue, and according to different transmitting scenes, the delay of packet l is also differed, its table It is shown as rl, c is packet classification,
In step B, for Business Stream g, engineering is processed into the optimization solution of acquisition and passes through network resource optimization mould The optimization solution that type is obtained is contrasted, if the optimization solution set of the two is completely the same, using the optimization solution as transmitting business stream g Optimization solution；If the optimization solution set of the two is inconsistent, engineering is processed the optimization solution for obtaining as transmitting business stream g's The adjustable parameter of the hybrid network in final optimization pass solution set, and corrective networks resource optimization model makes it obtain engineering process Optimization solution set, and using revised network resource optimization model as it is next with Business Stream g with associating statistical property Business Stream g+1 load balance optimization model；In hybrid network have association statistical property Business Stream collection be combined into G=1, 2 ..., g, g+1, the g+1 optimization solution set obtained in transmitting business stream set G is carried out into statistical average process, and general The statistical average processes optimization disaggregation and shares in corrective networks resource optimization model, and using the model as hybrid network next time In have be different from Business Stream set G statistical property Business Stream set G+1 pro-active network resource optimization model e.
In step C, concrete sub-step is：A. determine the node conflict domain in network, and go to sub-step b；B. obtain Obtain link rate and RTT=M (Td-DATA+Td-ACK), Td-DATAFor the propagation delay time maximum of l-th packet, Td-ACKFor The ACK feedback delay of l packet, and go to sub-step c；C. the buffer memory capacity of adjacent node is calculated, and goes to sub-step d； D. the buffer memory capacity of each node is calculated in collision domain, and goes to sub-step e；E. the network state monitored in collision domain becomes Change, as shown in figure 5, and going to sub-step f；F. judge that collision domain, with the presence or absence of change, if it there is change sub-step a is gone to, Otherwise then go to sub-step e.
Description of the drawings
Fig. 1 isomerism network structure schematic diagrames
Cross-layer transmission model schematics of the Fig. 2 based on heterogeneous service
Network resource optimization schematic flow sheets of the Fig. 3 based on heterogeneous service
Fig. 4 buffer memory capacity adjusts schematic diagram
Nodal cache distribution schematic diagram in Fig. 5 collision domains
Specific embodiment
To reach above-mentioned purpose, technical scheme is as follows：
The first step, sets up network resource optimization model, and Optimized model is specially：Wherein For the instantaneous data rates of the user k on subcarrier n, pk,nFor the power for user k distribution on subcarrier n, hk,nFor sub- load The channel gain of the user k on ripple n, B is network average bandwidth, and N is carrier number,For the convergence number of user k According to speed, TslotFor slot length, ΩkTo distribute to the t easet ofasubcarriers of user k, WkFor the weight factor of user k, QkIt is use The queue of family k, K is number of users, and PS is packet switch domain, pTFor through-put power higher limit, N0For noise power spectral density average
s.t. pk,n≥0,
RkTslot≤Qk,
Ωk∩Ωj=φ (k ≠ j)
Second step, equivalent project treatment is specially：Using rule WhereinFor the propagation delay time estimation of l-th packet, Sk,i,lL-th packet for user k is passed through The time delay error of link i, Dk,i,lIt is l-th data package size of the user k through link i, J is number of links, and η ∈ (01) are Weight coefficient, M is the number of data packets in queue, and according to different transmitting scenes, the delay of packet l is also differed, its table It is shown as rl, c is packet classification,
3rd step, engineering for Business Stream g, processed the optimization solution of acquisition and obtained by network resource optimization model Optimization solution contrasted, if the optimization solution set of the two is completely the same, using the optimization solution as transmitting business stream g optimization Solution；If the optimization solution set of the two is inconsistent, engineering is processed the optimization solution for obtaining as the final excellent of transmitting business stream g Neutralizing set, and the adjustable parameter of the hybrid network in corrective networks resource optimization model makes it obtain the optimization that engineering is processed Solution set, and using revised network resource optimization model as the next business for having with Business Stream g and associating statistical property The load balance optimization model of stream g+1；In hybrid network have association statistical property Business Stream collection be combined into G=1,2 ..., G, g+1 }, the g+1 optimization solution set obtained in transmitting business stream set G is carried out into statistical average process, and this is counted Average treatment optimization disaggregation is shared in corrective networks resource optimization model, and the model is had as in hybrid network next time It is different from the pro-active network resource optimization model of the Business Stream set G+1 of the statistical property of Business Stream set G.
4th step, concrete sub-step is：A. determine the node conflict domain in network, and go to sub-step b；B. link is obtained Speed and RTT=M (Td-DATA+Td-ACK), Td-DATAFor the propagation delay time maximum of l-th packet, Td-ACKFor l-th number According to the ACK feedback delay of bag, and go to sub-step c；C. the buffer memory capacity of adjacent node is calculated, and goes to sub-step d；D. in punching The buffer memory capacity of each node is calculated in prominent domain, and goes to sub-step e；E. the network state change in collision domain is monitored, and is turned To sub-step f；F. judge that collision domain, with the presence or absence of change, if it there is change sub-step a is gone to, otherwise then go to sub-step e.
The present invention proposes a kind of hybrid network resource optimization method based on heterogeneous service, excellent by setting up Internet resources Change model, carry out equivalent project treatment and buffer memory capacity optimization, realization meets the Internet resources elasticity optimization of heterogeneous service transmission Management.

Claims (5)

1. a kind of hybrid network resource optimization method based on heterogeneous service, by setting up network resource optimization model, is carried out etc. Effect project treatment and buffer memory capacity optimization, realization meets the Internet resources elasticity optimum management of heterogeneous service transmission, including as follows Step：
A, set up hybrid network resource optimization model；
B, carry out equivalent project treatment；
C, buffer memory capacity optimization.
2. method according to claim 1, for step A it is characterized in that：Optimized model is specially：Wherein For the instantaneous data rates of the user k on subcarrier n, pk,nFor the power for user k distribution on subcarrier n, hk,nFor sub- load The channel gain of the user k on ripple n, B is network average bandwidth, and N is carrier number,For the convergence number of user k According to speed, TslotFor slot length, ΩkTo distribute to the t easet ofasubcarriers of user k, WkFor the weight factor of user k, QkIt is use The queue of family k, K is number of users, and PS is packet switch domain, pTFor through-put power higher limit, N0For noise power spectral density average
max Σ k = 1 K W k R k , s . t . p k , n ≥ 0 , Σ k = 1 K Σ n = 1 N p k , n ≤ p T R k T s l o t ≤ Q k , Ω 1 ∪ ... ∪ Ω k ⊆ { 1 , 2 , ... , N } Ω k ∩ Ω j = φ ( k ≠ j ) γ k , n = | h k , n | 2 N 0 B / N .
3. method according to claim 1, for step B it is characterized in that：Equivalent project treatment is specially：Using ruleWhereinFor l-th data The propagation delay time estimation of bag, Sk,i,lFor user k l-th packet through link i time delay error, Dk,i,lIt is through link i User k l-th data package size, J is number of links, and η ∈ (01) are weight coefficient, and M is the number of data packets in queue, According to different transmitting scenes, the delay of packet l is also differed, and it is expressed as rl, c is packet classification,
4. method according to claim 1, for step B it is characterized in that：For Business Stream g, engineering process is obtained The optimization solution for obtaining is contrasted with the optimization solution obtained by hybrid network resource optimization model, if the optimization solution set of the two is complete It is complete consistent, then using the optimization solution as transmitting business stream g optimization solution；If the optimization solution set of the two is inconsistent, by engineering Change the final optimization pass solution set for processing the optimization solution of acquisition as transmitting business stream g, and correct hybrid network resource optimization model The adjustable parameter of middle hybrid network makes it obtain the optimization solution set that engineering is processed, and by revised network resource optimization mould Type has the hybrid network resource optimization model of the Business Stream g+1 for associating statistical property as the next one and Business Stream g；Hybrid network The Business Stream collection in network with association statistical property is combined into G={ 1,2 ..., g, g+1 }, will obtain in transmitting business stream set G The g+1 optimization solution set for obtaining carries out statistical average process, and statistical average process optimization disaggregation is shared in corrective networks Resource optimization model, and the model is had as in hybrid network next time the statistical property for being different from Business Stream set G The pro-active network resource optimization model of Business Stream set G+1.
5. method according to claim 1, for step C it is characterized in that：Specifically sub-step is：A. determine in network Node conflict domain, and go to sub-step b；B. link rate and RTT=M (T are obtainedd-DATA+Td-ACK), Td-DATAFor l-th number According to the propagation delay time maximum of bag, Td-ACKFor the ACK feedback delay of l-th packet, and go to sub-step c；C. calculate neighbouring The buffer memory capacity of node, and go to sub-step d；D. the buffer memory capacity of each node is calculated in collision domain, and goes to sub-step e；E. the network state change in collision domain is monitored, and goes to sub-step f；F. collision domain is judged with the presence or absence of change, if existing Change then goes to sub-step a, otherwise then goes to sub-step e.
CN201610919772.4A 2016-10-21 2016-10-21 Hybrid network resource optimization method based on heterogeneous service Pending CN106658557A (en)

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Patent Citations (5)

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Publication number Priority date Publication date Assignee Title
CN101924593A (en) * 2010-07-28 2010-12-22 北京邮电大学 Uplink/downlink antenna pulling away device, transmitter, receiver and channel measuring method
CN102769914A (en) * 2012-04-29 2012-11-07 黄林果 Fair scheduling method based on mixed businesses in wireless network
WO2014053532A1 (en) * 2012-10-05 2014-04-10 Telefonaktiebolaget Lm Ericsson (Publ) Frequency correction and time slot boundary detection
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