User Grouping and Reflective Beamforming for IRS-Aided URLLC

doi:10.1109/LWC.2021.3106548

CSpace

	User Grouping and Reflective Beamforming for IRS-Aided URLLC
	Xie, Hailiang 1,2; Xu, Jie 2,3; Liu, Ya-Feng 4; Liu, Liang 5; Ng, Derrick Wing Kwan 6
	2021-11-01
发表期刊	IEEE WIRELESS COMMUNICATIONS LETTERS
ISSN	2162-2337
卷号	10 期号:11 页码:2533-2537
摘要	This letter studies an intelligent reflecting surface (IRS)-aided downlink ultra-reliable and low-latency communication (URLLC) system, in which an IRS is dedicatedly deployed to assist a base station (BS) to send individual short-packet messages to multiple users. To enhance the URLLC performance, the users are divided into different groups and the messages for users in each group are encoded into a single codeword. By considering the time division multiple access (TDMA) protocol among different groups, our objective is to minimize the total latency for all users subject to their individual reliability requirements, via jointly optimizing the user grouping and blocklength allocation at the BS together with the reflective beamforming at the IRS. We solve the latency minimization problem via the alternating optimization, in which the blocklengths and the reflective beamforming are optimized by using the techniques of successive convex approximation (SCA) and semi-definite relaxation (SDR), while the user grouping is updated by K-means and greedy-based methods. Numerical results show that the proposed designs can significantly reduce the communication latency, as compared to various benchmark schemes, which unveil the importance of user grouping and reflective beamforming optimization for exploiting the joint encoding gain and enhancing the worst-case user performance.
关键词	Ultra-reliable and low-latency communication (URLLC) intelligent reflecting surface (IRS) user grouping reflective beamforming
DOI	10.1109/LWC.2021.3106548
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2018YFB1800800] ; Science and Technology Program of Guangdong Province[2021A0505030002] ; Key Area Research and Development Program of Guangdong Province[2018B030338001] ; National Natural Science Foundation of China[U2001208] ; National Natural Science Foundation of China[61871137] ; National Natural Science Foundation of China[11688101] ; National Natural Science Foundation of China[12021001] ; Hong Kong Polytechnic University[P0030001] ; UNSW Digital Grid Futures Institute, UNSW, Sydney, under a cross-disciplinary fund scheme ; Australian Research Council's Discovery Project[DP210102169]
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000716695600045
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/59590
专题	中国科学院数学与系统科学研究院
通讯作者	Xu, Jie
作者单位	1.Guangdong Univ Technol, Sch Informat Engn, Guangzhou 510006, Peoples R China 2.Chinese Univ Hong Kong Shenzhen, Future Network Intelligence Inst, Shenzhen 518172, Peoples R China 3.Chinese Univ Hong Kong Shenzhen, Sch Sci & Engn, Shenzhen 518172, Peoples R China 4.Chinese Acad Sci, State Key Lab Sci & Engn Comp, Inst Computat Math & Sci Engn Comp, Acad Math & Syst Sci, Beijing 100190, Peoples R China 5.Hong Kong Polytech Univ, Dept Elect & Informat Engn, Hong Kong, Peoples R China 6.Univ New South Wales, Sch Elect Engn & Telecommun, Sydney, NSW 2052, Australia
推荐引用方式 GB/T 7714	Xie, Hailiang,Xu, Jie,Liu, Ya-Feng,et al. User Grouping and Reflective Beamforming for IRS-Aided URLLC[J]. IEEE WIRELESS COMMUNICATIONS LETTERS,2021,10(11):2533-2537.
APA	Xie, Hailiang,Xu, Jie,Liu, Ya-Feng,Liu, Liang,&Ng, Derrick Wing Kwan.(2021).User Grouping and Reflective Beamforming for IRS-Aided URLLC.IEEE WIRELESS COMMUNICATIONS LETTERS,10(11),2533-2537.
MLA	Xie, Hailiang,et al."User Grouping and Reflective Beamforming for IRS-Aided URLLC".IEEE WIRELESS COMMUNICATIONS LETTERS 10.11(2021):2533-2537.