Resource Allocation and Beamforming design for Downlink MISO-URLLC Systems

被引：0
|
作者：
Zhu, Bingqian [1 ]
Bian, Baoyin [2 ]
Zhang, Yehua [4 ]
Li, Wenmeng [2 ]
Li, Lang [2 ]
Jian, Jing [3 ]
Zhang, Hua [1 ]
Wang, Jun-Bo [1 ]
机构：
[1] State Grid Elect Power Res Inst, Nanjing 211106, Peoples R China
[2] State Power Econ & Technol Res Inst Co Ltd, Beijing 100012, Peoples R China
[3] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 211111, Peoples R China
[4] State Grid Zhengjiang Elect Corp Informat & Telec, Hangzhou 31005, Peoples R China
来源：
2022 INTERNATIONAL SYMPOSIUM ON WIRELESS COMMUNICATION SYSTEMS, ISWCS | 2022年
关键词：
Ultra-reliable low-latency communication (URLLC); multiple-input single-output (MISO); beamforming; resource allocation; LATENCY WIRELESS COMMUNICATION; SHORT BLOCKLENGTH REGIME; OPTIMIZATION; RISK;
D O I：
10.1109/ISWCS56560.2022.9940386
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Ultra-reliable low-latency communication (URLLC) is a popular scenario in 6G wireless networks, which is also challenging. In this paper, a downlink multiple-input single-output (MISO) URLLC system, which has a multiple-antenna base station (BS) and multiple single-antenna users was considered. With the objective of minimizing the total power, an algorithm about resource allocation and beamforming design was proposed. In the finite blocklength system, the objective issue is non-convex due to the constraints of decoding error probability, which makes computing complex. Hence, a path-following algorithm which is based on the successive convex approximation (SCA) was proposed. Numerical results are analyzed to verify the efficiency of the algorithm we proposed.
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页数：5
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