带 SWIPT 功能的中继的认知传感器网络的联合资源优化。

Joint Resource Optimization for Cognitive Sensor Networks with SWIPT-Enabled Relay.

机构信息

College of Information Engineering, Zhejiang University of Technology, Hangzhou 310014, China.

School of Information and Communication Engineering, Dalian University of Technology, Dalian 116024, China.

出版信息

Sensors (Basel). 2017 Sep 13;17(9):2093. doi: 10.3390/s17092093.

DOI:10.3390/s17092093

PMID:28902143

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5621059/

Abstract

Energy-constrained wireless networks, such as wireless sensor networks (WSNs), are usually powered by fixed energy supplies (e.g., batteries), which limits the operation time of networks. Simultaneous wireless information and power transfer (SWIPT) is a promising technique to prolong the lifetime of energy-constrained wireless networks. This paper investigates the performance of an underlay cognitive sensor network (CSN) with SWIPT-enabled relay node. In the CSN, the amplify-and-forward (AF) relay sensor node harvests energy from the ambient radio-frequency (RF) signals using power splitting-based relaying (PSR) protocol. Then, it helps forward the signal of source sensor node (SSN) to the destination sensor node (DSN) by using the harvested energy. We study the joint resource optimization including the transmit power and power splitting ratio to maximize CSN's achievable rate with the constraint that the interference caused by the CSN to the primary users (PUs) is within the permissible threshold. Simulation results show that the performance of our proposed joint resource optimization can be significantly improved.

摘要

能量受限的无线网络，如无线传感器网络（WSN），通常由固定的能源供应（例如电池）供电，这限制了网络的运行时间。同时无线信息和功率传输（SWIPT）是一种很有前途的技术，可以延长能量受限的无线网络的寿命。本文研究了具有 SWIPT 功能的中继节点的下型认知传感器网络（CSN）的性能。在 CSN 中，放大转发（AF）中继传感器节点使用基于功率分割的中继（PSR）协议从环境射频（RF）信号中获取能量。然后，它利用所收集的能量帮助源传感器节点（SSN）向目的传感器节点（DSN）转发信号。我们研究了包括发射功率和功率分割比在内的联合资源优化，以最大化 CSN 的可达速率，同时限制 CSN 对主用户（PU）造成的干扰在可允许的阈值内。仿真结果表明，所提出的联合资源优化的性能可以得到显著提高。