Joint User Scheduling, Power Allocation, and Rate Control for MC-RSMA in URLLC Services
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2023
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| _version_ | 1866909175999627264 |
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| author | Ou, Xiaoyu Dang, Shuping Ren, Zhihan Doufexi, Angela |
| author_facet | Ou, Xiaoyu Dang, Shuping Ren, Zhihan Doufexi, Angela |
| contents | This paper investigates the resource management problem in multi-carrier rate-splitting multiple access (MC-RSMA) systems with imperfect channel state information (CSI) and successive interference cancellation (SIC) for ultra-reliable and low-latency communications (URLLC) applications. To explore the trade-off between the decoding error probability and achievable rate, effective throughput (ET) is adopted as the utility function in this study. Then, a mixed-integer non-convex problem is formulated, where power allocation, rate control, and user grouping are jointly taken into consideration. To tackle this problem, we approximate the achievable ET using a lower bound and then develop a decomposition method to decouple optimization variables. Specifically, for a given user grouping scheme, an iteration-based concave-convex programming (CCCP) method and an iteration-free lower-bound approximation (LBA) method are proposed for power allocation and rate control. Next, a greedy search-based scheme and a heuristic grouping scheme are developed for the user-grouping problem. The simulation results verify the effectiveness of the CCCP and LBA methods in power allocation and rate control and the greedy search-based and heuristic grouping methods in user grouping. Besides, the superiority of RSMA for URLLC services is demonstrated when compared to spatial division multiple access. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2312_17628 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Joint User Scheduling, Power Allocation, and Rate Control for MC-RSMA in URLLC Services Ou, Xiaoyu Dang, Shuping Ren, Zhihan Doufexi, Angela Signal Processing This paper investigates the resource management problem in multi-carrier rate-splitting multiple access (MC-RSMA) systems with imperfect channel state information (CSI) and successive interference cancellation (SIC) for ultra-reliable and low-latency communications (URLLC) applications. To explore the trade-off between the decoding error probability and achievable rate, effective throughput (ET) is adopted as the utility function in this study. Then, a mixed-integer non-convex problem is formulated, where power allocation, rate control, and user grouping are jointly taken into consideration. To tackle this problem, we approximate the achievable ET using a lower bound and then develop a decomposition method to decouple optimization variables. Specifically, for a given user grouping scheme, an iteration-based concave-convex programming (CCCP) method and an iteration-free lower-bound approximation (LBA) method are proposed for power allocation and rate control. Next, a greedy search-based scheme and a heuristic grouping scheme are developed for the user-grouping problem. The simulation results verify the effectiveness of the CCCP and LBA methods in power allocation and rate control and the greedy search-based and heuristic grouping methods in user grouping. Besides, the superiority of RSMA for URLLC services is demonstrated when compared to spatial division multiple access. |
| title | Joint User Scheduling, Power Allocation, and Rate Control for MC-RSMA in URLLC Services |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2312.17628 |