IRS辅助的认知反向散射通信网络性能增强方案

doi:10.11959/j.issn.1000-436x.2021233

Abstract

Abstract:

In order to achieve the self-sustainable cognitive radio network （CRN） and improve its communication efficiency， an efficient multi-mode switching scheme assisted by the intelligent reflecting surface （IRS） for the overlay scenario was proposed.In particular， the secondary transmitter （ST） could work in either backscatter communication （BackCom） mode or harvest-then-transmit （HTT） mode.The IRS was exploited to enhance the energy harvesting， information backscattering， and information transmission efficiencies at the ST.To maximize the system sum-rate， an optimization problem about the phase shirts at the IRS， time scheduling， and power allocation was formulated.Since the formulated problem was non-convex， an efficient block coordinate descent （BCD） based algorithm was proposed to achieve the sub-optimal solution.Simulation results confirm that the proposed scheme can achieve up to 200% sum-rate gain over the benchmark schemes.

Key words: cognitive radio, intelligent reflecting surface, backscatter communication, harvest-then-transmit, joint opti-mization

CLC Number:

TN92

Bin LYU, Yi CAO, Jian LI, Ting QI. Performance enhancement scheme for IRS-assisted cognitive backscatter communication network[J]. Journal on Communications, 2021, 42(12): 172-181.

Figures/Tables 8

References 15

[1]	XU J , ZHANG R . Throughput optimal policies for energy harvesting wireless transmitters with non-ideal circuit power[J]. IEEE Journal on Selected Areas in Communications, 2014,32(2): 322-332.
[2]	KANG X , HO C K , SUN S M . Full-duplex wireless-powered communication network with energy causality[J]. IEEE Transactions on Wireless Communications, 2015,14(10): 5539-5551.
[3]	LEE S , ZHANG R . Cognitive wireless powered network:spectrum sharing models and throughput maximization[J]. IEEE Transactions on Cognitive Communications and Networking, 2015,1(3): 335-346.
[4]	KIM J , LEE H , SONG C ,et al. Sum throughput maximization for multi-user MIMO cognitive wireless powered communication networks[J]. IEEE Transactions on Wireless Communications, 2017,16(2): 913-923.
[5]	LIU V , PARKS A , TALLA V ,et al. Ambient backscatter[J]. ACM SIGCOMM Computer Communication Review, 2013,43(4): 39-50.
[6]	HOANG D T , NIYATO D , WANG P ,et al. Ambient backscatter:a new approach to improve network performance for RF-powered cognitive radio networks[J]. IEEE Transactions on Communications, 2017,65(9): 3659-3674.
[7]	WU Q Q , ZHANG R . Towards smart and reconfigurable environment:intelligent reflecting surface aided wireless network[J]. IEEE Communications Magazine, 2020,58(1): 106-112.
[8]	HUANG C W , ZAPPONE A , ALEXANDROPOULOS G C ,et al. Reconfigurable intelligent surfaces for energy efficiency in wireless communication[J]. IEEE Transactions on Wireless Communications, 2019,18(8): 4157-4170.
[9]	LYU B , RAMEZANI P , HOANG D T ,et al. Optimized energy and information relaying in self-sustainable IRS-empowered WPCN[J]. IEEE Transactions on Communications, 2021,69(1): 619-633.
[10]	JIA X L , ZHOU X Y , NIYATO D ,et al. Intelligent reflecting surface-assisted bistatic backscatter networks:joint beamforming and reflection design[J]. IEEE Transactions on Green Communications and Networking, 2020,PP(99): 1.
[11]	WANG Z R , LIU L , CUI S G . Channel estimation for intelligent reflecting surface assisted multiuser communications:framework,algorithms,and analysis[J]. IEEE Transactions on Wireless Communications, 2020,19(10): 6607-6620.
[12]	AN J C , WANG L , XU C ,et al. Optimal pilot power based channel estimation improves the throughput of intelligent reflective surface assisted systems[J]. IEEE Transactions on Vehicular Technology, 2020,69(12): 16202-16206.
[13]	BOYD S , VANDENBERGHE L . Convex optimization[M]. Cambridge: Cambridge University Press, 2004.
[14]	LUO Z Q , MA W K , SO A M C ,et al. Semidefinite relaxation of quadratic optimization problems[J]. IEEE Signal Processing Magazine, 2010,27(3): 20-34.
[15]	WU Q Q , ZHANG R . Weighted sum power maximization for intelligent reflecting surface aided SWIPT[J]. IEEE Wireless Communications Letters, 2020,9(5): 586-590.

Metrics

Recommended 0

No Suggested Reading articles found!

Performance enhancement scheme for IRS-assisted cognitive backscatter communication network

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 8

References 15

Related Articles 15

Metrics

Recommended 0

[1]	Lei ZHANG, Yu WANG, Jianjie TIAN, Lin ZHANG, Tianjiao ZHANG. Joint beam forming design for IRS-aided MIMO Internet of vehicles system [J]. Journal on Communications, 2023, 44(2): 59-69.
[2]	Zhen YANG, Xuan FENG, Bin LYU. Research on throughput maximization for intelligent reflecting surface assisted dual-hop relay wireless powered communication network [J]. Journal on Communications, 2022, 43(9): 90-99.
[3]	Zhongjie LI, Jiyuan XIONG, Wei GAO, Jinying WEI. Joint beamforming design for distributed IRS assisted millimeter wave MU-MISO system [J]. Journal on Communications, 2022, 43(4): 216-226.
[4]	Hancheng LU, Yazheng WANG, Dan ZHAO, Tao LUO, Jun WU. Survey of physical layer security of intelligent reflecting surface-assisted wireless communication systems [J]. Journal on Communications, 2022, 43(2): 171-184.
[5]	Sai ZHAO, Zhangchen ZOU, Gaofei HUANG, Dong TANG. Joint design scheme of resource allocation for intelligent reflecting surface assisted millimeter wave NOMA system [J]. Journal on Communications, 2022, 43(12): 113-122.
[6]	Xiaoxi ZHANG, Yongjun XU. Survey on backscatter communication for zero-power IoT [J]. Journal on Communications, 2022, 43(11): 199-212.
[7]	Xiaorong JING, Zhenyuan SONG, Wei GAO, Weijia LEI, Qianbin CHEN. Design scheme of physical layer security for intelligent reflecting surface-assisted MISO communication system [J]. Journal on Communications, 2022, 43(1): 117-126.
[8]	Jiachen SUN, Jinlong WANG, Guoru DING, Jin CHEN, Yuping GONG. Spectrum knowledge graph: an intelligent engine facing future spectrum management [J]. Journal on Communications, 2021, 42(5): 1-12.
[9]	Zhengyu ZHU, Jinlei XU, Gangcan SUN, Ning WANG, Wanming HAO. Secure beamforming design for IRS-assisted SWIPT Internet of things system [J]. Journal on Communications, 2021, 42(4): 185-193.
[10]	Wanming HAO, Jinkun XIE, Gangcan SUN, Zhengyu ZHU, Yiqing ZHOU. Robust chance-constrained optimization algorithm design for secure wireless powered backscatter communication system [J]. Journal on Communications, 2021, 42(3): 100-110.
[11]	Youhua FU, Dong CHEN. Channel estimation for hybrid intelligent reflecting surface structure assisted mmWave communications [J]. Journal on Communications, 2021, 42(10): 189-196.
[12]	Yin LU,Jirong CHEN,Haowei BIAN,Hongbo ZHU. Novel opportunistic cooperative multicast scheme for NOMA [J]. Journal on Communications, 2020, 41(11): 141-150.
[13]	Zhen YANG,Mengyao ZHU,Youhong FENG. Secrecy performance analysis on cooperative CR-NOMA network [J]. Journal on Communications, 2020, 41(10): 139-147.
[14]	Yongjun XU,Bowen GU,Qianbin CHEN,Jinzhao LIN. Energy efficiency maximization resource allocation algorithm in wireless-powered backscatter communication network [J]. Journal on Communications, 2020, 41(10): 202-210.
[15]	Yongjun XU,Yang YANG,Qilie LIU,Qianbin CHEN,Jinzhao LIN. Robust power and subcarrier allocation algorithm for cognitive network based on interference efficiency maximization [J]. Journal on Communications, 2020, 41(1): 84-93.