Gao, Pengyu and Zhu, Jing and Chen, Gaojie and Liu, Zilong and Xiao, Pei and Foh, Chuan Heng (2023) Efficient Multiuser Detection for Uplink Grant-Free NOMA via Weighted Block Coordinate Descend. In: WS-19: 5th Workshop on ULMC6GN: Ultra-high Speed, Low-latency and Massive Communication for Futuristic 6G Network at IEEE International Conference on Communications, 2023-05-28 - 2023-06-01, Rome. (In Press)
Gao, Pengyu and Zhu, Jing and Chen, Gaojie and Liu, Zilong and Xiao, Pei and Foh, Chuan Heng (2023) Efficient Multiuser Detection for Uplink Grant-Free NOMA via Weighted Block Coordinate Descend. In: WS-19: 5th Workshop on ULMC6GN: Ultra-high Speed, Low-latency and Massive Communication for Futuristic 6G Network at IEEE International Conference on Communications, 2023-05-28 - 2023-06-01, Rome. (In Press)
Gao, Pengyu and Zhu, Jing and Chen, Gaojie and Liu, Zilong and Xiao, Pei and Foh, Chuan Heng (2023) Efficient Multiuser Detection for Uplink Grant-Free NOMA via Weighted Block Coordinate Descend. In: WS-19: 5th Workshop on ULMC6GN: Ultra-high Speed, Low-latency and Massive Communication for Futuristic 6G Network at IEEE International Conference on Communications, 2023-05-28 - 2023-06-01, Rome. (In Press)
Abstract
Grant-free non-orthogonal multiple access (GFNOMA) technique is considered as a promising solution to address the bottleneck of ubiquitous connectivity in massive machine type communication (mMTC) scenarios. One of the challenging problems in uplink GF-NOMA systems is how to efficiently perform user activity detection and data detection. In this paper, a novel complexity-reduction weighted block coordinate descend (CR-WBCD) algorithm is proposed to address this problem. To be specific, we formulate the multi-user detection (MUD) problem in uplink GF-NOMA systems as a weighted l₂ minimization problem. Based on the block coordinate descend (BCD) framework, a closed-form solution involving dynamic user-specific weights is derived to adaptively identify the active users with high accuracy. Furthermore, a complexity reduction mechanism is developed for substantial computational cost saving. Simulation results demonstrate that the proposed algorithm enjoys bound-approaching detection performance with more than three-order of magnitude computational complexity reduction.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Uncontrolled Keywords: | Grant-free non-orthogonal multiple access (GFNOMA), block coordinate descend (BCD), compressed sensing (CS), multi-user detection (MUD) |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 14 Mar 2023 17:00 |
Last Modified: | 12 Sep 2024 13:35 |
URI: | http://repository.essex.ac.uk/id/eprint/35203 |
Available files
Filename: Efficient Multiuser Detection for Uplink Grant-Free NOMA via Weighted Block Coordinate Descend-FINAL.pdf