基于Kappa-mu/M分布的联合多用户分集与并行中继继选择RF/FSO系统性能研究

doi:10.12263/DZXB.20210087

电子学报 ›› 2022, Vol. 50 ›› Issue (1): 26-35.DOI: 10.12263/DZXB.20210087

• 无线光通信及其组网技术 • 上一篇下一篇

基于Kappa-mu/M分布的联合多用户分集与并行中继继选择RF/FSO系统性能研究

张敏惠¹, 童杨¹, 王怡¹^,²

^1.中国计量大学信息工程学院浙江省电磁波信息技术与计量检测重点实验室，浙江杭州 310018
^2.成都理工大学地质灾害防治与地质环境保护国家重点实验室，四川成都 610059

收稿日期:2021-01-08 修回日期:2021-03-18 出版日期:2022-01-25
- 作者简介:
- 张敏惠男，1995年出生于浙江省嘉兴市.硕士研究生，主要从事RF/FSO通信和自由空间激光通信方面的研究工作. E-mail:645470568@qq.com
  童杨男，1997年出生于浙江省台州市.硕士研究生，主要从事RF/FSO通信和自由空间激光通信方面的研究工作. E-mail:1246898298@qq.com
  王怡（通信作者）女，1980年生于黑龙江省哈尔滨市.博士，教授，主要从事星地光通信、RF/FSO通信和自由空间激光通信方面的研究工作. E-mail:wcy16@cjlu.edu.cn
- 基金资助:
- 成都理工大学地质灾害防治与地质环境保护国家重点实验室开放基金 (SKLGP2020K017); 国家自然科学基金 (51704267)

Performance Analysis of Multiuser Diversity and Parallel Relay Selection RF/FSO System over Kappa-mu/M Distribution Channels

ZHANG Min-hui¹, TONG Yang¹, WANG Yi¹^,²

^1.Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China JiLiang University, Hangzhou, Zhejiang 310018, China
^2.State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, Sichuan 610059, China

Received:2021-01-08 Revised:2021-03-18 Online:2022-01-25 Published:2022-01-25
- Supported by:
- Chengdu University of Technology State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Open Fund (SKLGP2020K017); National Natural Science Foundation of China (51704267)

摘要/Abstract

摘要：

本文在能够表征大多数信道条件的Kappa-mu/M分布混合统计模型组合下，研究了存在同频干扰的联合多用户分集与并行中继选择射频技术/自由空间光通信系统，分别推导出系统的中断概率的Meijer G解析表达式和渐近近似表达式.通过仿真解析、渐近近似表达式，分析了信道衰落、指向误差、同频干扰、用户选择和并行中继选择等关键因素对系统的中断性能的影响，更进一步分析了高信噪比下的渐近结果并得出了系统的分集阶数.为了验证解析表达式的有效性，给出了蒙特卡罗仿真结果.结果表明，同频干扰的存在使得系统性能大幅下降，多用户分集和并行中继选择可以改善受同频干扰的射频技术/自由空间光通信系统的性能.具体来说，多用户分集提高了射频路径的性能，而并行中继选择提高了系统的整体性能.系统行为由两个链路中性能最坏的一个所主导.因此，在工程应用中分析定位性能不足的链路并提升其性能是提升整个系统性能的关键.

关键词: 射频技术/自由空间光通信系统, 同频干扰, 多用户分集, 并行中继选择, Kappa-mu/M分布

Abstract:

In this paper, we investigate the co-channel interference(CCI) radio frequency(RF)/free space optical(FSO) system with multiuser diversity and relay selection. We use the hybrid Kappa-mu/M distribution statistical model that can represent most channels. The Meijer G analytical expressions and approximate asymptotic expressions of the outage probability are derived. The effects of key factors such as channel fading, pointing error, CCI, user selection, and parallel relay selection on the outage performance are analyzed through simulation analysis expressions and asymptotic expressions. Further analysis of the asymptotic results in the high signal-to-noise ratio(SNR) regimes gives the diversity order of the system. Monte Carlo simulation results are generated to verify the validity of the analytical expression. The results show that CCI is the main factor that decreases the system performance. Multiuser diversity and relay selection can improve the performance of RF/FSO system with CCI. Multiuser diversity improves the performance of the RF path, while relay selection improves the overall performance of the system. System behavior is dominated by the worst-performing of the two links. Therefore, locating links with insufficient performance and improving their performance is the key to improving the performance of the entire system in engineering applications.

Key words: radio frequency/free-space optical system, co-channel interference, multiuser diversity, parallel relay selection, Kappa-mu/M distribution

中图分类号:

TN929.1

张敏惠, 童杨, 王怡. 基于Kappa-mu/M分布的联合多用户分集与并行中继继选择RF/FSO系统性能研究[J]. 电子学报, 2022, 50(1): 26-35.

Min-hui ZHANG, Yang TONG, Yi WANG . Performance Analysis of Multiuser Diversity and Parallel Relay Selection RF/FSO System over Kappa-mu/M Distribution Channels[J]. Acta Electronica Sinica, 2022, 50(1): 26-35.

图/表 6

图1 RF/FSO系统模型

图2 RF/FSO系统的中断概率仿真图

图3 RF/FSO系统在不同κ、 μ值情况下中断概率仿真图

图4 RF/FSO系统在不同平均干扰噪声比下中断概率仿真图

图5 RF/FSO系统在不同用户数量下中断概率仿真图

图6 RF/FSO系统在不同中继节点数量下的中断概率仿真图

参考文献 20

1	MANSOURA, MESLEHR, ABAZAM. New challenges in wireless and free space optical communication[J]. Optics and Lasers in Engineering, 2017, 88: 95-108.
2	陈纯毅, 杨华民, 姜会林. 大气信道部分相干光通信链路性能分析与优化[J]. 电子学报, 2009, 37(8): 239-242.
	CHENC Y, YANGH M, JIANGH L. Secure selection for performance analysis and Optimization of partially coherent optical communication links through atmospheric channel[J]. Acta Electronic Sinica, 2009, 37(8): 239-242. (in Chinese)
3	EUNJUL, JAEDONP, DONGSOOH. Performance analysis of the asymmetric dual-hop relay transmission with mixed RF/FSO links[J]. IEEE Photonics Technology Letters, 2011, 23(21): 1632-1644.
4	AHMEDK, HRANILOVICS. C-RAN uplink optimization using mixed radio and FSO fronthaul[J]. Journal of Optical Communications and Networking, 2018, 10(6): 603-612.
5	YIX, SHENC, YUEP, et al. Performance analysis for a mixed RF and multihop FSO communication system in 5G C-RAN[J]. Journal of Optical Communications and Networking, 2019, 11(8): 452-464.
6	孙健, 张文胜, 王承祥. 5G高频段信道测量与建模进展[J].电子学报, 2017, 45(5): 1249-1260.
	SUNJ, ZHANGW S, WANGC X. Developments on channel measurement and models in 5G high frequency band[J]. Acta Electronic Sinica, 2017, 45(5): 1249-1260. (in Chinese)
7	MAKKIB, SVENSSONT, ERIKSSONT, et al. Performance analysis of ARQ-based RF-FSO links[J]. IEEE Communications Letters, 2016, 21(6): 1253-1256.
8	邵军虎, 孙莹, 刘晓楠, 等. 强湍流条件下软切换FSO/RF混合链路中HARQ方案的对比分析[J]. 激光杂志, 2019, 40(6): 162-166.
	SHAOJ H, SUNY, LIUX N, et al. Comparative analysis on the HARQ schemes for soft-switching hybrid FSO/RF link under strong turbulence[J]. Laser Journal, 2019, 40(6): 162-166. (in Chinese)
9	ALIMII A, MONTEIROP P, TEIXEIRAA L. Analysis of multiuser mixed RF/FSO relay networks for performance improvements in Cloud Computing-Based Radio Access Networks (CC-RANs)[J]. Optics Communications, 2017, 402:653-661.
10	刘文亚, 赵尚弘, 王翔, 等. 基于SC分集的混合FSO/RF航空通信系统性能分析[J]. 激光与红外, 2020, 50(5):525-531.
	LIUW Y, ZHAOS H, WANGX, et al. Performance analysis of hybrid FSO/RF airborne communication system based on SC diversity[J]. Laser & Infrared, 2020, 50(5): 525-531. (in Chinese)
11	AREZUMANDH, ZAMIRI-JAFARIANH, SOLEIMANI-NASABE, et al. Exact and asymptotic analysis of partial relay selection for cognitive RF-FSO systems with non-zero boresight pointing errors[J]. IEEE Access, 2019, 7: 58611-58625.
12	韩立强, 江红兵. 一种混合认知RF和MIMO FSO系统的中断概率分析[J]. 中国激光, 2018, 45(4): 239-246.
	HANL Q, JIANGH B. Outage probability analysis of a mixed cognitive RF and MIMO FSO system[J]. Chinese Journal of Lasers, 2018, 45(4): 239-246. (in Chinese)
13	PETKOVICM I, CVETKOVICA M, DJORDJEVICG T, et al. Partial relay selection with outdated channel state estimation in mixed RF/FSO systems[J]. Journal of Lightwave Technology, 2015, 33(13): 2860-2867.
14	TONKV K, UPADHYAA, YADAVP K, et al. Mixed MUD-RF/FSO two way dcode and forward relaying networks in the presence of co-channel Interference[J]. Optics Communications, 2020, 464: 125415.
15	BALTIE, GUIZANIM. Mixed RF/FSO cooperative relaying systems with co-channel interference[J]. IEEE Transactions on Communications, 2018, 66(9): 4014-4027.
16	YACOUBM D. The kappa-mu distribution and the eta-mu distribution[J]. IEEE Antennas and Propagation Magazine, 2007, 49(1): 68-81.
17	GRADSHTEYNI S， RYZHIKI M. Table of Integrals, Series, and Products[M]. 7th ed. San Diego, CA,USA: Academic Press, 2007.
18	WANGZ, SHIW X, LIUW. Performance analysis of mixed RF/FSO system with CCI[J]. IET Communications, 2019, 13(14): 2199-2206.
19	JURADO-NAVASA, GARRIDO-BALSELLSJ M, PARISJ F, et al. A unifying statistical model for atmospheric optical scintillation[M]//Numerical Simulations of Physical and Engineering Processes. 2th ed. Malaga, Spain: InTech, 2011: 181-206.
20	IKKIS, AHMEDM H. Performance analysis of cooperative diversity wireless networks over nakagami-m fading channel[J]. IEEE Communications Letters, 2007, 11(4):334-336.

[1]	夏楠, 邢宝辉, 高丹阳, 崔桐. 基于联合互谱函数的短波同频多目标直接定位方法[J]. 电子学报, 2022, 50(10): 2462-2468.
[2]	刘文亚, 王翔, 赵尚弘, 牟迪. 同频干扰下混合MUD-RF/FSO航空中继通信系统性能分析[J]. 电子学报, 2021, 49(10): 1960-1968.
[3]	夏楠, 高紫俊, 李博, 王珏. 一种基于循环稀疏表示的同频带干扰抑制及发射源定位方法[J]. 电子学报, 2021, 49(1): 8-13.
[4]	韩珍珍, 徐川, 王倩云, 王新恒, 赵国锋. 基于贝叶斯博弈的WLAN节能机制研究[J]. 电子学报, 2019, 47(10): 2083-2088.
[5]	唐然, 吴虹, 赵迎新, 穆巍炜, 徐锡燕, 马肖旭, 刘兵, 刘之洋. AIS多小区同频信号实时盲分离的FPGA设计[J]. 电子学报, 2017, 45(9): 2121-2126.
[6]	李光平, 张广驰, 崔苗, 冯久超. 基于中继放大转发的多天线基站下行传输性能分析[J]. 电子学报, 2013, 41(7): 1305-1312.
[7]	邹应全;赵睿;杨绿溪. 存在同信道干扰和多用户分集的多蜂窝系统性能分析[J]. 电子学报, 2011, 39(10): 2235-2239.
[8]	胡封晔;王树勋;孙晓颖;郭纲. MIMO-OFDM系统的自适应多用户分集及性能分析[J]. 电子学报, 2008, 36(7): 1324-1328.
[9]	唐冬, 杨亮, 张广驰, 秦家银. 空间相关对发射分集系统的多用户分集性能的影响[J]. 电子学报, 2006, 34(4): 761-764.
[10]	唐岚, 王树勋, 梁应敞. 在相关多入多出(MIMO)信道中的可变速率多用户分集技术[J]. 电子学报, 2005, 33(4): 629-633.
[11]	陈霞;谈振辉. 混合激励功率传送型智能小区[J]. 电子学报, 2001, 29(1): 5-8.

基于Kappa-mu/M分布的联合多用户分集与并行中继继选择RF/FSO系统性能研究

Performance Analysis of Multiuser Diversity and Parallel Relay Selection RF/FSO System over Kappa-mu/M Distribution Channels

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 6

参考文献 20

相关文章 11

编辑推荐

Metrics