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中国科学院大学学报 ›› 2022, Vol. 39 ›› Issue (6): 845-852.DOI: 10.7523/j.ucas.2021.0003

• 电子信息与计算机科学 • 上一篇    

蜂窝网络下的SWIPT-D2D通信资源分配

杨特, 洪佩琳, 李润洲   

  1. 中国科学技术大学 信息网络实验室, 合肥 230027
  • 收稿日期:2020-11-06 修回日期:2021-01-08 发布日期:2021-05-31
  • 通讯作者: 洪佩琳,E-mail:plhong@ustc.edu.cn
  • 基金资助:
    国家自然科学基金(61671420)资助

Resource allocation for SWIPT-D2D communication underlaying cellular networks

YANG Te, HONG Peilin, LI Runzhou   

  1. Laboratory of Information Network, University of Science and Technology of China, Hefei 230027, China
  • Received:2020-11-06 Revised:2021-01-08 Published:2021-05-31

摘要: 无线信息与能量同步传输(SWIPT)作为一种重要的射频能量采集技术,可使能量受限设备在通信的同时采集射频能量补充电能。针对蜂窝网络下的设备到设备(D2D)通信系统,研究D2D接收端利用功率切片技术同时进行信息解码与射频能量采集时的资源分配问题。为保证D2D接收端在高射频能量采集需求下的高信息解码速率,提出D2D通信一对多的频谱复用方案,允许D2D设备复用多个蜂窝上行链路频谱进行通信,网络中的所有用户设备作为分布式的射频能量来源对D2D接收端充电。在此场景下,对包括频谱匹配,功率控制和功率切片控制在内的系统资源分配进行联合优化,在保证D2D接收端射频能量采集需求和各通信链路速率需求条件下最大化D2D通信总速率。以上优化问题为非凸形式的混合整数非线性规划(MINLP)问题,难以求得最优解。因此基于贪心思想和凸逼近理论提出两层资源分配算法。仿真结果显示,该算法对比其他资源分配策略,在满足用户设备能量和速率需求前提下显著提升了D2D通信总速率。

关键词: D2D通信, SWIPT, 射频能量采集, 资源分配

Abstract: As an important radio frequency energy harvesting technology, simultaneous wireless information and power transfer (SWIPT) enables the energy-limited equipments continuously harvest radio frequency energy without interruption of communication. For the device-to-device (D2D) communication system underlaying cellular network, we consider the resource allocation problem when D2D receivers use power-splitting technology to decode information and harvest radio frequency energy simultaneously. In order to ensure the high information decoding rate of D2D receivers under high energy harvesting requirement, we propose a one-to-many spectrum multiplexing scheme for D2D communication. In this scheme, D2D devices are allowed to multiplex multiple cellular uplink spectrums for communication, and all user equipments in the network are used as distributed radio frequency energy sources to charge the D2D receivers. In this scenario, the system resource allocation including spectrum matching, power control and power-splitting control is jointly optimized to maximize the sum communication rate of D2D under the condition of ensuring the energy harvesting requirement of D2D receivers and the rate requirement of all communication links. The above optimization problem is a non-convex Mixed-Integer Nonlinear Programming (MINLP) problem, which is difficult to obtain the optimal solution. Therefore, we propose a two-layer resource allocation algorithm based on greedy thought and convex approximation theory. Simulation results show that compared with other resource allocation strategies, the proposed algorithm can significantly improve the sum rate of D2D communication under the premise of meeting the energy and communication rate requirements of user equipments.

Key words: D2D communication, SWIPT, radio frequency energy harvesting, resource allocation

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