Prioritizing Data/Energy Thresholding-Based Antenna Switching for SWIPT-Enabled Secondary Receiver in Cognitive Radio Networks

Prioritizing Data/Energy Thresholding-Based Antenna Switching for SWIPT-Enabled Secondary Receiver in Cognitive Radio Networks
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DOI:
10.1109/tccn.2017.2779478
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发表时间:
2017-12
影响因子:
8.6
通讯作者:
Fatma Benkhelifa;Mohamed-Slim Alouini
Fatma Benkhelifa;Mohamed-Slim Alouini
中科院分区:
计算机科学2区
文献类型:
--
作者:
Fatma Benkhelifa;Mohamed-Slim Alouini

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在具有多天线能量采集(EH)二次接收器(SR)的认知无线电网络中,考虑了无线功率和信息的同时传输。SR从次级发射机和初级发射机获取能量。SR使用天线切换(AS)技术,该技术选择天线的子集来解码信息[即,信息解码(ID)天线],而其余的天线来获取能量(即,EH天线)。AS技术通过基于阈值的策略来执行,该策略受最大比结合技术和输出阈值的启发,以两种方式提出:1)优先数据选择(PDS)方案和2)优先能量选择(PES)方案。对于这两种方案,我们研究了所选ID天线的概率质量函数、平均收获能量、功率中断概率和数据中断概率的表达式和渐近结果。我们推导了PDS和PES联合方案的性能。我们评估了瑞利和Nakagami衰落信道的所有性能指标。通过仿真结果,给出了不同仿真参数对性能指标的影响。我们还表明,数据和能源性能指标之间存在权衡。
Simultaneous wireless power and information transfer is considered in cognitive radio networks with a multi-antenna energy harvesting (EH) secondary receiver (SR). The SR harvests the energy from the secondary transmitter and primary transmitter. The SR uses the antenna switching (AS) technique which selects a subset of antennas to decode the information [namely, the information decoding (ID) antennas] and the rest to harvest the energy (namely the EH antennas). The AS technique is performed via a thresholding-based strategy inspired from the maximum ratio combining technique with an output threshold which is proposed in two ways: 1) the prioritizing data selection (PDS) scheme and 2) the prioritizing energy selection (PES) scheme. For both schemes, we study the expressions and the asymptotic results of the probability mass function of the selected ID antennas, the average harvested energy, the power outage probability, and the data outage probability. We deduce the performance of the joint PDS and PES scheme. We evaluate all performance metrics for the Rayleigh and Nakagami fading channels. Through the simulation results, we show the impact of different simulation parameters on the performance metrics. We also show that there is a tradeoff between the data and energy performance metrics.