典型文献
Channel Capacity Optimization Based on Riemannian Trust Region Algorithm in IRS-Aided Communication System
文献摘要：
Intelligent Reflecting Surface(IRS)can of-fer unprecedented channel capacity gains since it can reconfigure the signal propagation environment.We decide to maximize the channel capacity by jointly optimizing the transmit-power-constrained precoding matrix at the base station and the unit-modulus-constrained phase shift vector at the IRS in IRS-assisted multi-user downlink communication.We first convert the resulting non-convex problem into an equivalent problem,then use the alternate optimiza-tion algorithm.While fixing the phase shift vector,we can obtain the optimal precoding matrix directly by adopting standard optimization packages.While fixing the precoding matrix,we propose the Rieman-nian Trust-Region(RTR)algorithm to solve this op-timization problem.And the key of the RTR algo-rithm is the solution of the trust-region sub-problem.We first adopt the accurate solution based on Newton's(ASNT)method to solve this sub-problem,which can obtain the global solution but cannot guarantee that the solution is optimal since the initial iteration point is difficult to choose.Then,we propose the Improved-Polyline(IPL)method,which can avoid the difficulty of the ASNT method and improve convergence speed and calculation efficiency.The numerical results show that the RTR algorithm has more significant perfor-mance gains and faster convergence speed compared with the existing approaches.
文献关键词：
中图分类号：
作者姓名：
Jinzhi Liu;Dan Wang;Jiamin Liang;Zhiqiang Mei
作者机构：
College of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
文献出处：
引用格式：
[1]Jinzhi Liu;Dan Wang;Jiamin Liang;Zhiqiang Mei-.Channel Capacity Optimization Based on Riemannian Trust Region Algorithm in IRS-Aided Communication System)[J].中国通信（英文版）,2022(10):21-37
A类：
Rieman,nian,ASNT,Polyline
B类：
Channel,Capacity,Optimization,Based,Riemannian,Trust,Region,Algorithm,IRS,Aided,Communication,System,Intelligent,Reflecting,Surface,fer,unprecedented,channel,capacity,gains,since,reconfigure,signal,propagation,environment,We,decide,maximize,by,jointly,optimizing,transmit,power,constrained,precoding,matrix,station,unit,modulus,phase,shift,vector,assisted,multi,user,downlink,communication,first,convert,resulting,convex,problem,into,equivalent,then,alternate,algorithm,While,fixing,obtain,optimal,directly,adopting,standard,optimization,packages,propose,RTR,solve,this,And,key,solution,trust,region,sub,accurate,Newton,method,which,global,but,cannot,guarantee,that,initial,iteration,point,choose,Then,Improved,IPL,avoid,difficulty,improve,convergence,speed,calculation,efficiency,numerical,results,show,more,significant,perfor,mance,faster,compared,existing,approaches
AB值：
0.529736
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