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Research On Resource Allocation Scheme Based On Energy Efficiency Of Massive

Posted on:2019-10-31Degree:MasterType:Thesis
Country:ChinaCandidate:L X YinFull Text:PDF
GTID:2428330590965699Subject:Electronic and communication engineering
Abstract/Summary:PDF Full Text Request
As the key technology of 5G,the massive MIMO technology can effectively improve the spectrum efficiency and energy efficiency of the wireless communication system.Research on massive MIMO technology energy efficiency mainly considers users with single antenna,which is not match the reality;the energy efficiency defined in massive MIMO and D2 D coexistence networks only considers the problems of the cellular side,the energy efficiency problems of multi-antenna multi-user massive MIMO systems and the energy efficiency issues of massive MIMO and D2 D coexistence networks are studied in this thesis.The details of the thesis are as follows:1.A resource allocation algorithm for multi antenna multiuser uplink massive MIMO system based on dual antenna users is proposed.Currently,the research on the massive MIMO energy efficiency mainly focuses on the single-antenna user's scenario without considering the reality that the multi-antenna terminal device has been popularized.The algorithm considers the zero forcing receiving and considers the user terminal's life and user's quality of service(QoS)requirements,that is,under the condition that the user's maximum transmit power and the user's minimum communication rate are satisfied,the fractional objective function is converted into a subtractive objective function.Firstly,the optimal transmit power of each antenna of the user is obtained by the Lagrange's mathematical method,and then the number of antennas activated by the base station is jointly allocated by the dichotomy method to optimize the system energy efficiency so as to approach the optimum value obtained by the exhaustive algorithm,and reduce the algorithm complexity when obtain optimal energy efficiency.The simulation results show that the proposed algorithm can achieve the effect of near optimal energy efficiency with lower iteration times.2.A method of energy efficiency optimization for massive MIMO and D2 D coexistence network systems is proposed.This method aims at defining the system energy efficiency as the ratio of the sum rate of cellular users and the cellular power consumption in the energy efficiency research of existing massive MIMO and D2 D coexistence systems.It has added the sum rate and power consumption of D2 D links and established new energy efficiency model.Considering the minimum rate requirement of D2 D link users and the rate requirement of users in massive MIMO cells while adopting maximal ratio combining receiving,the joint cellular base station terminal and the user terminal and the D2 D link aiming at the optimal energy efficiency is studied.Firstly,optimize the number of antennas at the base station to get optimal value,and then establish the transmit power of the cellular user,and finally regulate the user transmit power of the D2 D link to optimize the system energy efficiency,so that the entire coexistence system energy efficiency can achieve the optimization.The simulation results show that under the established energy efficiency model,the system energy efficiency has been effectively improved.
Keywords/Search Tags:massive MIMO, energy efficiency, D2D, zero forcing receiving, maximum ratio of combining receiving
PDF Full Text Request
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