CN106330608B - The uplink user Throughput fairness optimization method in number energy integrated communication network - Google Patents

The uplink user Throughput fairness optimization method in number energy integrated communication network Download PDF

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CN106330608B
CN106330608B CN201610728778.3A CN201610728778A CN106330608B CN 106330608 B CN106330608 B CN 106330608B CN 201610728778 A CN201610728778 A CN 201610728778A CN 106330608 B CN106330608 B CN 106330608B
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base station
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CN106330608A (en
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于秦
吕柯思
胡杰
杨鲲
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University of Electronic Science and Technology of China
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0876—Network utilisation, e.g. volume of load or congestion level
    • H04L43/0888—Throughput
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/391—Modelling the propagation channel

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  • Computer Networks & Wireless Communication (AREA)
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Abstract

The invention discloses one kind number can uplink user Throughput fairness optimization method in integrated communication networks, specifically include: establishing the uplink and downlink network model in number energy integrated network；Determine base station transmitting power, noise power and energy transformation ratio；User's downlink business demand is defined, goal expression and its constraint are obtained；Calculate the expression formula for the energy that each user's downlink is gathered in；And then obtain the expression formula of user uplink data amount；The optimization of user uplink Throughput fairness is completed by the upstream and downstream time slot and power splitting factor of combined optimization user, obtains transmission strategy.Method of the invention is modeled by the physics scene to a kind of several energy integrated networks, and according to convex optimum theory to model solution, it solves in number energy integrated network, user's communication energy derives from the radiofrequency signal that base station is sent, and in the case that user has downlink data amount demand, the problem of strict guarantee user uplink transmits fairness, maximizes user uplink data amount.

Description

The uplink user Throughput fairness optimization method in number energy integrated communication network
Technical field
The invention belongs to technical field of communication network, and in particular to a kind of uplink user in number energy integrated communication network Throughput fairness optimization method.
Background technique
The energy of existing wireless communication system mostlys come from power grid power supply and battery power supply.Power grid is powered so that system It is sustainable to obtain reliable energy, but deployment electric power networks are required, to keep systematic difference range limited；Battery power so that Systematic difference is more portable, but the storage capacity of monocell is severely restricted the power of system and energy, To constrain the service performance and life cycle of system, and the charge capacity of current battery has become the bottleneck of technology development. Number energy integrated communication technology is on the basis of existing wireless power technology, by the technological means in a variety of forward positions, wireless Information is transmitted while being realized collection of energy (Energy Harvesting, EH), thus realizing the same of high efficient and reliable information communication When make full use of valuable energy resource, provide possibility to solve information and synchronous energy transmission in wireless communication, Become an important directions of future communications development.
Research has been considered that the optimized throughput in number energy integrated communication network transmission, including uplink total throughout The optimization of optimization and upstream data amount fairness, but it is all based on the physical field of time slot switching (Time Swiching, TS) technology Scape is realized the simultaneous interpretation of number energy, is optimized to upstream data amount.Wherein also having research is to divide (Power based on power Splitting, PS) technology realizes the optimization of uplink total throughout, but since number can be double " remote-close " in integration Effect, channel quality is poor or the energy that gathers in apart from base station user farther out's downlink is small, and the power that uplink needs Greatly, therefore user uplink data amount is difficult to be guaranteed.
Summary of the invention
It is an object of the invention to overcome in the prior art to gulp down multi-purpose amount energy integrated communication network transmission optimization The defect that user uplink data amount fairness is not accounted for when the amount of spitting is proposed and a kind of is used under the scene of lower line number energy simultaneous interpretation The transmission strategy that family uplink throughput fairness is optimal.
The purpose of the present invention is achieved through the following technical solutions: a kind of uplink in number energy integrated communication network User throughput fairness optimization method, comprising the following steps:
S1, it determines network model, establishes the uplink and downlink network model in number energy integrated network；
S2, base station transmitting power, noise power and energy transformation ratio are determined；
S3, define user's downlink business demand, obtain about the goal expression of user's downlink business demand and its about Beam；
S4, the expression formula for calculating the energy that each user's downlink is gathered in；
S5, the energy that user's downlink is collected into according to obtained in S4 expression formula obtain the expression of user uplink data amount Formula；
S6, user uplink throughput fairness is completed by the upstream and downstream time slot and power splitting factor of combined optimization user Property optimization, and obtain transmission strategy.
Further, step S1 establishes uplink and downlink network model and specifically includes following sub-step:
S11, the integrated cellular network of number energy based on TDMA for considering single cell, base station and user are single antenna, base The BS that stands sends the integrated signal of number energy with the forms of broadcasting to M user (U by down channel timesharing1,U2,U3,...,UM), it uses Family sends information to base station with then passing through up channel timesharing；The communication of downlink is completed with constant power in base station；If base station with Channel between user remains unchanged in a duty cycle T,WithIt is expressed as the down channel and uplink of user j The channel power of channel declines, if channel is awgn channel, and channel noise power is Pn；
S12,Period in, base station is with power PBSIt is communicated in the form of broadcast with user j, at this point, user j By power cutting techniques with splitting factor μjBy downlink reception to signal energy be divided into two parts, a part is used as energy It collects, another part received signal energy is decoded acquisition corresponding information, and other users are then complete by the signal received Portion is acquired as energy.
Beneficial effects of the present invention: method of the invention is counted by the physics scene to a kind of several energy integrated networks Modeling is learned, and according to convex optimum theory to model solution, solved in number energy integrated network, user's communication energy derives from The radiofrequency signal that base station is sent, and in the case that user has downlink data amount demand, strict guarantee user uplink transmits fairness, The problem of maximizing user uplink data amount.
Detailed description of the invention
Fig. 1 is dynamic resource optimal method flow chart of the invention；
Fig. 2 is the network model schematic diagram of number energy integrated communication network of the invention；
Fig. 3 is to carry out the method schematic diagram that power divides energy after user of the invention receives signal；
Fig. 4 is network model time slot allocation figure of the invention.
Specific embodiment
Technical solution of the present invention is further illustrated in the following with reference to the drawings and specific embodiments.
As shown in Figure 1, a kind of dynamic resource optimal method of several energy integrated communication networks, comprising the following steps:
S1, it determines network model, establishes the uplink and downlink network model in number energy integrated network；Concrete model such as Fig. 2 institute Show, including following sub-step:
S11, the integrated cellular network of number energy based on TDMA for considering single cell, base station and user are single antenna, base The BS that stands sends the integrated signal of number energy with the forms of broadcasting to M user (U by down channel timesharing1,U2,U3,...,UM), it uses Family sends information to base station with then passing through up channel timesharing；The communication of downlink is completed with constant power in base station；If base station with Channel between user remains unchanged in a duty cycle T,WithIt is expressed as the down channel and uplink of user j The channel power of channel declines, if channel is awgn channel；
S12,Period in, base station is with power PBSIt is communicated in the form of broadcast with user j.At this point, user j By power cutting techniques with splitting factor μjBy downlink reception to signal energy be divided into two parts, a part is used as energy It collects, another part received signal energy is decoded acquisition corresponding information, and other users are then complete by the signal received Portion is acquired as energy；
S2, base station transmitting power, noise power and energy transformation ratio are determined；Specifically include following sub-step:
S21, base station transmitting power P is determined according to actual hardware and base station ambient environmental conditionsBS；
S22, according to actual scene situation, determine user's j upstream and downstream channel noise powerUser's j equipment Energy conversion efficiency is βj。
S3, define user's downlink business demand, obtain about the goal expression of user's downlink business demand and its about Beam；Its concrete methods of realizing are as follows: according to the demand of practical application scene, determine the Minimum requirements D of user's j downlink data amountj (bit/Hz)；Two parts are partitioned into according to the signal power that power segmentation principle as shown in Figure 3 will receive, wherein for believing Ceasing decoded power isThe data volume expression formula that user's j downlink reception arrives are as follows:
Available downlink data amount constraint are as follows:
Wherein, j=1,2,3...M.
S4, the expression formula for calculating the energy that each user's downlink is gathered in；Here with specific reference to the original of power cutting techniques Reason obtains.
Concrete methods of realizing are as follows: according to the available collected energy of user j of the illustraton of model 2 and Fig. 4 that are proposed in S1 Expression formula are as follows:
S5, the energy that user's downlink is collected into according to obtained in S4 expression formula obtain the expression of user uplink data amount Formula；Specifically include following sub-step: according to the available user j upstream data of network model Fig. 2 and Fig. 4 proposed in S1 Measure expression formula are as follows:
That is,
S6, user uplink throughput fairness is completed by the upstream and downstream time slot and power splitting factor of combined optimization user Property optimization, and obtain transmission strategy；Specifically include following sub-step:
S61, meet downlink business demand consumption while, be expected that by under the uplink for reasonably distributing each user The power splitting factor of row transmission time slot and each user, so that user uplink data amount fairness is optimal, then it is corresponding Mathematical model can be such that
0≤uj≤1
J=1,2 ..., M
S62, the problem are not a convex optimization problem, need to carry out it variable replacement, are enabledThen obtain New optimization problem is as follows:
J=1,2 ..., M
New optimization problem is that the proof of convex problem is as follows:
Objective functionIt is functionPerspective Function it is easy to show that by the basic conception of convex optimum theory (affine function, logarithmic function and min function)It is one Stringent concave function.Since perspective function and original function keep identical convexity, so objective function is a stringent concave function. And remaining constraint condition can prove convexity by seeking Hessian matrix, therefore the problem after variable replacement is one convex asks Topic.
S63, have been proven that Solve problems are a convex optimization problems due to S62, it is possible to right by Lagrange Even method obtains optimal solution.Due to the particularity of Solve problems, if solved to problem direct iteration, complexity is too high, then to S62 The problems in converted to obtain new problem it is as follows:
J=1,2 ..., M
Wherein R is the variable newly introduced.
S64, setting RmaxFor a biggish value, R is setminIt is 0；It takesPass through Lagrange duality Method solves the problems in S63；If optimum results are greater than T, R is takenmax=R, on the contrary take Rmin=R, then be brought into S63 and ask Solution, until Rmax-Rmin< ε (ε is preset error margin), finally obtains optimal solution.
S65, the solving result obtained according to S64 determine transmission strategy.
Method of the invention carries out mathematical modeling by the physics scene to a kind of several energy integrated networks, and according to convex excellent Change theory to model solution, solves in number energy integrated network, the radio frequency letter that user's communication energy is sent from base station Number, and in the case that user has downlink data amount demand, strict guarantee user uplink transmits fairness, maximizes user uplink number The problem of according to amount.
Those of ordinary skill in the art will understand that the embodiments described herein, which is to help reader, understands this hair Bright principle, it should be understood that protection scope of the present invention is not limited to such specific embodiments and embodiments.This field Those of ordinary skill disclosed the technical disclosures can make according to the present invention and various not depart from the other each of essence of the invention The specific variations and combinations of kind, these variations and combinations are still within the scope of the present invention.

Claims (6)

1.一种在数能一体化通信网络中上行用户吞吐量公平性优化方法，包括以下步骤：1. A method for optimizing uplink user throughput fairness in a data-energy integrated communication network, comprising the following steps: S1、确定网络模型，建立数能一体化网络中的上下行网络模型；S1. Determine the network model, and establish the uplink and downlink network model in the integrated data-energy network; 具体包括以下子步骤：Specifically, it includes the following sub-steps: S11、考虑单小区的基于TDMA的数能一体化蜂窝网络，基站和用户均为单天线，基站BS以广播形式通过下行信道分时地发送数能一体信号给M个用户(U1,U2,U3,...,UM)，用户则通过上行信道分时地发送信息至基站；基站以恒定的功率完成下行的通信；设基站与用户之间的信道在一个工作周期T内保持不变，和分别表示为用户j的下行信道和上行信道的信道功率衰落，设信道均为AWGN信道，且信道噪声功率为Pn；S11. Consider a single-cell TDMA-based digital-energy integrated cellular network, both the base station and the user are single antennas, and the base station BS transmits the digital-energy integrated signal to M users (U 1 , U 2 ) in a time-sharing manner through the downlink channel in the form of broadcast , U 3 ,..., U M ), the user sends information to the base station through the uplink channel time-division; the base station completes the downlink communication with constant power; the channel between the base station and the user is maintained in a working cycle T constant, and are respectively expressed as the channel power fading of the downlink channel and uplink channel of user j, assuming that the channels are all AWGN channels, and the channel noise power is P n ; S12、在的时间段内，基站以功率PBS以广播的形式与用户j进行通信，此时，用户j通过功率分割技术以分割因子μj将下行接收到的信号能量划分成两部分，一部分作为能量收集，另一部分接收的信号能量进行解码获得相应信息，而其他用户则将接收到的信号全部作为能量进行采集；S12, in During the period of time, the base station communicates with user j in the form of broadcasting with power PBS. At this time, user j divides the downlink received signal energy into two parts with the division factor μ j through the power division technology, and one part is collected as energy. , another part of the received signal energy is decoded to obtain corresponding information, while other users collect all the received signals as energy; S2、确定基站发射功率、噪声功率和能量转化率；S2, determine the base station transmit power, noise power and energy conversion rate; S3、定义用户下行业务需求，得到关于用户下行业务需求的目标表达式以及其约束；S3. Define the user's downlink service requirements, and obtain the target expression about the user's downlink service requirements and its constraints; S4、计算每个用户下行收割到的能量的表达式；S4. Calculate the expression of the energy harvested by each user downlink; S5、根据S4中得到的用户下行收集到的能量的表达式得出用户上行数据量的表达式；S5, according to the expression of the energy collected by the user's downlink obtained in S4, the expression of the user's uplink data amount is obtained; S6、通过联合优化用户的上行下行时隙和功率分割因子完成用户上行吞吐量公平性优化，并得出传输策略。S6. Complete the user uplink throughput fairness optimization by jointly optimizing the user's uplink and downlink time slots and power division factors, and obtain a transmission strategy. 2.根据权利要求1所述的在数能一体化通信网络中上行用户吞吐量公平性优化方法，其特征在于，步骤S2具体包括以下子步骤：2. the uplink user throughput fairness optimization method in the data-energy integrated communication network according to claim 1, is characterized in that, step S2 specifically comprises the following sub-steps: S21、根据实际硬件和基站周围环境情况确定基站发射功率PBS；S21, determine the base station transmit power PBS according to the actual hardware and the surrounding environment of the base station; S22、根据实际场景情况，确定用户j上行下行信道噪声功率用户j设备能量转换效率为βj。S22. Determine the uplink and downlink channel noise power of user j according to the actual situation The energy conversion efficiency of user j equipment is β j . 3.根据权利要求2所述的在数能一体化通信网络中上行用户吞吐量公平性优化方法，其特征在于，步骤S3具体实现方法为：根据实际应用场景的需求，确定用户j下行数据量的最低需求Dj；根据功率分割原理得到，用户j下行接收到的数据量表达式为：3. The method for optimizing uplink user throughput fairness in a digital-energy integrated communication network according to claim 2, wherein the specific implementation method of step S3 is: according to the requirements of actual application scenarios, determine the amount of downlink data of user j The minimum demand D j ; according to the power division principle, the expression of the amount of data received by user j downlink is: 可以得到下行数据量约束为：The downlink data volume constraint can be obtained as: 其中，j＝1,2,3...M。where j=1,2,3...M. 4.根据权利要求2所述的在数能一体化通信网络中上行用户吞吐量公平性优化方法，其特征在于，步骤S4计算每个用户下行收割到的能量的表达式；具体根据功率分割技术的原理得到用户j采集到的能量表达式为：4. the uplink user throughput fairness optimization method in the data-energy integrated communication network according to claim 2, is characterized in that, step S4 calculates the expression of the energy that each user downlink harvests; The principle of obtaining the energy expression collected by user j is: 5.根据权利要求4所述的在数能一体化通信网络中上行用户吞吐量公平性优化方法，其特征在于，步骤S5得到用户j上行数据量表达式具体为：5. the uplink user throughput fairness optimization method in the data-energy integrated communication network according to claim 4, is characterized in that, step S5 obtains user j uplink data amount expression is specifically: 即， which is, 6.根据权利要求5所述的在数能一体化通信网络中上行用户吞吐量公平性优化方法，其特征在于，步骤S6具体包括以下子步骤：6. The method for optimizing uplink user throughput fairness in a digital-energy integrated communication network according to claim 5, wherein step S6 specifically comprises the following substeps: S61、在满足下行的业务需求消耗的同时，期望通过合理的分配每个用户的上行下行传输时隙和每个用户的功率分割因子，使得用户上行数据量公平性达到最优，则对应的数学模型可以如下：S61. While satisfying the downlink service demand and consumption, it is expected that the fairness of the uplink data volume of the users can be optimized by reasonably allocating the uplink and downlink transmission time slots of each user and the power division factor of each user, then the corresponding mathematical The model can be as follows: 0≤uj≤10≤u j ≤1 j＝1,2,...,Mj=1,2,...,M S62、对其进行变量替换，令则得到新的优化问题如下：S62, perform variable substitution on it, so that Then the new optimization problem is obtained as follows: j＝1,2,...,Mj=1,2,...,M 新的优化问题为凸问题的证明如下：The proof that the new optimization problem is convex is as follows: 目标函数是函数的透视函数，是一个严格的凹函数，由于透视函数和原函数保持相同凸性，所以目标函数是一个严格的凹函数，通过海森矩阵的正定性证明函数是一个严格的凸函数，而剩余的约束条件都是仿射约束，故变量替换后的问题是一个凸问题；objective function is a function The perspective function of , is a strictly concave function. Since the perspective function and the original function maintain the same convexity, the objective function is a strictly concave function. The positive definiteness of the Hessian matrix proves that the function is a strictly convex function, and the remaining constraints are affine constraints, so the problem after variable substitution is a convex problem; S63、由于S62已经证明了求解问题是一个凸优化问题，所以可以通过拉格朗日对偶法得到最优解，对步骤S62中的问题进行变换得到新问题如下：S63. Since it has been proved in S62 that the problem to be solved is a convex optimization problem, the optimal solution can be obtained by the Lagrangian dual method, and the new problem obtained by transforming the problem in step S62 is as follows: j＝1,2,...,Mj=1,2,...,M 其中，R为新引入的一个变量；Among them, R is a newly introduced variable; S64、设置Rmax为一个较大的值，设置Rmin为0；取通过拉格朗日对偶法对S63中的问题求解；若优化结果大于T，则取Rmax＝R，反之取Rmin＝R，再带入到S63中求解，直到Rmax-Rmin＜ε(ε为预设的误差容限)，最后得到最优解；S64. Set R max to a larger value, and set R min to 0; take Solve the problem in S63 by the Lagrangian dual method; if the optimization result is greater than T, take R max =R, otherwise take R min =R, and then bring it into S63 to solve until R max -R min <ε (ε is the preset error tolerance), and finally the optimal solution is obtained; S65、根据S64得到的求解结果，确定传输策略。S65. Determine the transmission strategy according to the solution result obtained in S64.
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