当前位置: X-MOL 学术Wirel. Commun. Mob. Comput. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Fairness-Aware Resource Allocation in Full-Duplex Backscatter-Assisted Wireless Powered Communication Networks
Wireless Communications and Mobile Computing Pub Date : 2021-04-27 , DOI: 10.1155/2021/8842562
Rui Jiang 1 , Meihua Liu 1 , Xiaoming Wang 1 , Youyun Xu 1
Affiliation  

In this paper, we introduce a full-duplex backscatter-assisted wireless powered communication network (FDBA-WPCN) with a full-duplex access point (FAP) and multiple energy harvesting wireless devices (WDs). The communication mode is a combination of backscatter communication (BC) and harvest-then-transmit (HTT). The entire time period of network is divided into energy harvesting/backscattering (EHB) period and information transmission (IT) period. In the EHB period, each WD either reflects information to the FAP by backscatter or harvests energy to prepare for the IT period. In the IT period, the WDs use their harvested energy to transmit information to FAP in time division multiple access (TDMA). However, under the setting, WDs with different distances from FAP will encounter unfairness in throughput due to the round-trip path loss in backscatter and the doubly near-far problem in HTT. To overcome the drawback, an optimization problem is considered to maximize the sum throughput under the condition of ensuring throughput fairness. By using convex optimization techniques, we obtain the optimal time allocation and the maximum same throughput of each WD. Comparing to the other two benchmark schemes, the simulation results prove the superiority of our proposed method.

中文翻译:

全双工反向散射辅助无线供电通信网络中的公平感知资源分配

在本文中,我们介绍了具有全双工接入点(FAP)和多个能量收集无线设备(WD)的全双工反向散射辅助无线供电通信网络(FDBA-WPCN)。通信模式是反向散射通信(BC)和“收成再发射”(HTT)的组合。网络的整个时间段分为能量收集/反向散射(EHB)期间和信息传输(IT)期间。在EHB期间,每个WD通过后向散射将信息反射到FAP或收集能量以准备IT期间。在IT阶段,WD使用其收集的能量以时分多址(TDMA)的方式将信息传输到FAP。但是,在该设置下,与FAP距离不同的WD会由于反向散射中的往返路径损耗以及HTT中的双重远距离问题而在吞吐量方面遇到不公平的情况。为了克服该缺点,考虑在确保吞吐量公平的条件下使总吞吐量最大化的最优化问题。通过使用凸优化技术,我们获得了最佳的时间分配和每个WD的最大相同吞吐量。与其他两个基准方案相比,仿真结果证明了该方法的优越性。我们获得每个WD的最佳时间分配和最大相同吞吐量。与其他两个基准方案相比,仿真结果证明了该方法的优越性。我们获得每个WD的最佳时间分配和最大相同吞吐量。与其他两个基准方案相比,仿真结果证明了该方法的优越性。
更新日期:2021-04-27
down
wechat
bug