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硬件损伤和阴影衰落下的非线性能量收集无线通信的性能分析。

Performance Analysis of Wireless Communications with Nonlinear Energy Harvesting under Hardware Impairment and - Shadowed Fading.

机构信息

Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Street, District 10, Ho Chi Minh City 700000, Vietnam.

Vietnam National University Ho Chi Minh City, Linh Trung Ward, Thu Duc District, Ho Chi Minh City 700000, Vietnam.

出版信息

Sensors (Basel). 2023 Mar 30;23(7):3619. doi: 10.3390/s23073619.

DOI:10.3390/s23073619
PMID:37050679
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10098775/
Abstract

This paper improves energy efficiency and communications reliability for wireless transmission under κ-μ shadowed fading (i.e., integrating all channel impairments including path loss, shadowing, fading) and hardware impairment by employing a nonlinear energy harvester and multi-antenna power transmitter. To this end, this paper provides explicit formulas for outage probability. Numerous results corroborate these formulas and expose that energy-harvesting nonlinearity, hardware impairment, and channel conditions drastically deteriorate system performance. Notwithstanding, energy-harvesting nonlinearity influences system performance more severely than hardware impairment. In addition, desired system performance is accomplished flexibly and possibly by choosing a cluster of specifications. Remarkably, the proposed communications scheme obtains the optimal performance with the appropriate selection of the time-splitting factor.

摘要

本文通过采用非线性能量收集器和多天线功率发射器，提高了在 κ-μ 阴影衰落（即集成所有信道损伤，包括路径损耗、阴影、衰落）和硬件损伤下的无线传输的能量效率和通信可靠性。为此，本文提供了中断概率的显式公式。大量结果证实了这些公式，并表明能量收集的非线性、硬件损伤和信道条件极大地恶化了系统性能。然而，能量收集的非线性对系统性能的影响比硬件损伤更为严重。此外，可以通过选择一组规范来灵活地实现所需的系统性能。值得注意的是，所提出的通信方案通过适当选择时间分割因子获得了最佳性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a2f/10098775/b2db1b0863f7/sensors-23-03619-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a2f/10098775/a64cde1d5123/sensors-23-03619-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a2f/10098775/8070b3c7c3df/sensors-23-03619-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a2f/10098775/d718907711da/sensors-23-03619-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a2f/10098775/ee6991bcd425/sensors-23-03619-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a2f/10098775/61926fa30711/sensors-23-03619-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a2f/10098775/b2db1b0863f7/sensors-23-03619-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a2f/10098775/a64cde1d5123/sensors-23-03619-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a2f/10098775/8070b3c7c3df/sensors-23-03619-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a2f/10098775/d718907711da/sensors-23-03619-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a2f/10098775/ee6991bcd425/sensors-23-03619-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a2f/10098775/61926fa30711/sensors-23-03619-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a2f/10098775/b2db1b0863f7/sensors-23-03619-g006.jpg

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