Joint Subcarrier and Power Allocation for Multi-UAV Systems  

作　　者：Xin Guan Yang Huang Qingjiang Shi 

机构地区：[1]College of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics [2]Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space(NUAA),Ministry of Industry and Information Technology [3]School of Software Engineering,Tongji University

出　　处：《China Communications》2019年第1期47-56,共10页中国通信（英文版）

基　　金：supported by China NSF Grants(61631020);the Fundamental Research Funds for the Central Universities(NP2018103,NE2017103,NC2017003)

摘　　要：This paper investigates subcarrier and power allocation in a multi-UAV OFDM system.The study considers a practical scenario,where certain subcarriers are unavailable for dynamic subcarrier allocation,on account of pre-allocation for burst transmissions.We first propose a novel iterative algorithm to jointly optimize subcarrier and power allocation,so as to maximize the sum rate of the uplink transmission in the multiUAV OFDM system.The key idea behind our solution is converting the nontrivial allocation problem into a weighted mean square error(MSE) problem.By this means,the allocation problem can be solved by the alternating optimization method.Besides,aiming at a lower-complexity solution,we propose a heuristic allocation scheme,where subcarrier allocation and transmit power allocation are separately optimized.In the heuristic scheme,closedform solution can be obtained for power allocation.Simulation results demonstrate that in the presence of stretched subcarrier resource,the proposed iterative joint optimization algorithm can significantly outperform the heuristic scheme,offering a higher sum rate.This paper investigates subcarrier and power allocation in a multi-UAV OFDM system.The study considers a practical scenario,where certain subcarriers are unavailable for dynamic subcarrier allocation,on account of pre-allocation for burst transmissions.We first propose a novel iterative algorithm to jointly optimize subcarrier and power allocation,so as to maximize the sum rate of the uplink transmission in the multiUAV OFDM system.The key idea behind our solution is converting the nontrivial allocation problem into a weighted mean square error(MSE) problem.By this means,the allocation problem can be solved by the alternating optimization method.Besides,aiming at a lower-complexity solution,we propose a heuristic allocation scheme,where subcarrier allocation and transmit power allocation are separately optimized.In the heuristic scheme,closedform solution can be obtained for power allocation.Simulation results demonstrate that in the presence of stretched subcarrier resource,the proposed iterative joint optimization algorithm can significantly outperform the heuristic scheme,offering a higher sum rate.

关 键 词：MULTI-UAV OFDM SUBCARRIER ALLOCATION power ALLOCATION ALTERNATING optimization weighted MSE 

分 类 号：TN[电子电信]