User Grouping and Reflective Beamforming for IRS-Aided URLLC
文献类型：期刊论文
| 作者 | Xie, Hailiang1,2; Xu, Jie2,3; Liu, Ya-Feng4; Liu, Liang5; Ng, Derrick Wing Kwan6 |
| 刊名 | IEEE WIRELESS COMMUNICATIONS LETTERS
 |
| 出版日期 | 2021-11-01 |
| 卷号 | 10期号:11页码:2533-2537 |
| ISSN号 | 2162-2337 |
| 关键词 | Ultra-reliable and low-latency communication (URLLC) intelligent reflecting surface (IRS) user grouping reflective beamforming |
| DOI | 10.1109/LWC.2021.3106548 |
| 英文摘要 | 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. |
| 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 |
| 语种 | 英语 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| WOS记录号 | WOS:000716695600045 |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/59589]  |
| 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. |
入库方式： OAI收割
来源：数学与系统科学研究院
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