Throughput Performance Analysis and Optimization of Energy Harvesting Wireless Sensor Network Based on Simultaneous Wireless Information and Power Transfer
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摘要:
针对能量收集无线传感器网络（wireless sensor network，WSN）中的两跳多中继传输问题，构建无线射频能量站（power beacon，PB）辅助的能量收集无线携能通信（simultaneous wireless information and power transfer，SWIPT）中继模型. 在中继节点具有捕获源节点、环路自干扰和PB信号能量的特性下，推导目的节点采用选择式合并（selection combining，SC）、最大比合并（maximal ratio combining，MRC）两种不同接收策略下的中断概率和吞吐量，继而在保障通信服务质量（quality of service，QoS）、PB发射功率、能量转化效率等多约束条件下，提出一种以吞吐量最大化为目标的联合优化时隙切换因子与功率分配因子的中继选择算法. 仿真和数值结果显示：PB发射功率、时隙切换因子、天线数目、功率分配因子等参数对系统中断概率和吞吐量性能影响显著；当给定PB发射功率为6 dBW，天线为3根时，与随机中继选择算法和最大最小中继选择算法相比，本文算法在SC策略下的系统吞吐量增益分别为0.29、0.15 bit/s/Hz，MRC策略下的吞吐量增益分别为0.32、0.16 bit/（s·Hz）.
Abstract:In view of two-hop multi-relay transmission in energy harvesting wireless sensor networks (WSN), a wireless radio frequency power beacon (PB)-assisted energy harvesting relay model based on simultaneous wireless information and power transfer (SWIPT) was constructed. Under the condition that the relay node has the characteristics of capturing the source node, loop self interference, and PB signal energy, the outage probability and throughput of the destination node using two different receiving strategies, namely, selection combining (SC) and maximal ratio combining (MRC), were derived. Then, under multiple constraints such as ensuring communication quality of service (QoS), a relay selection algorithm was proposed to jointly optimize the time switching factor and power splitting factor with the goal of maximizing the throughput. Simulation and numerical results show that the PB transmit power, time switching factor, number of antennas, and power splitting factor significantly affect the system’s outage probability and throughput. When PB transmit power is 6 dBW, and the number of antennas is 3, compared with the random relay selection algorithm and the max-min relay selection algorithm, the system’s throughput gains under the SC strategy are 0.29 and 0.15 bit/(s·Hz), respectively, and those under the MRC strategy are 0.32 and 0.16 bit/(s·Hz), respectively.
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Key words:
- wireless sensor networks /
- SWIPT /
- relay selection /
- energy harvesting /
- throughput
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图 3 MRC接收策略下循环次数对中断概率的影响
Figure 3. Effect of loop number on outage probability under MRC strategy
图 4 不同PS因子的中断概率与吞吐量
Figure 4. Outage probability and throughput under different PS factors
图 7 不同TS因子下的中断概率与吞吐量
Figure 7. Outage probability and throughput for different TS factors
图 8 不同TS因子时各算法的吞吐量对比
Figure 8. Throughput comparison of different algorithms with different TS factors
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