Precoding Design for Multi-user MISO Systems with Delay-Constrained and -Tolerant Users
- Authors
- Kim, M.[Kim, M.]; Park, J.[Park, J.]; Lee, J.[Lee, J.]
- Issue Date
- Jul-2022
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Array signal processing; Downlink; finite blocklength; incremental redundancy hybrid automatic repeat request; MIMO communication; Multi-user multiple-input multiple-output; Optimization; Precoding; Resource management; spectral efficiency; Ultra reliable low latency communication; ultra-reliable low-latency communication
- Citation
- IEEE Transactions on Wireless Communications, v.21, no.7, pp.5090 - 5105
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE Transactions on Wireless Communications
- Volume
- 21
- Number
- 7
- Start Page
- 5090
- End Page
- 5105
- URI
- https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/94653
- DOI
- 10.1109/TWC.2021.3136872
- ISSN
- 1536-1276
- Abstract
- In both academia and industry, multi-user multipleinput single-output (MU-MISO) techniques have shown enormous gains in spectral efficiency by exploiting spatial degrees of freedom. So far, an underlying assumption in most of the existing MU-MISO design has been that all the users use infinite blocklength, so that they can achieve the Shannon capacity. This setup, however, is not suitable considering delay-constrained users whose blocklength tends to be finite. In this paper, we consider a heterogeneous setting in MU-MISO systems where delay-constrained users and delay-tolerant users coexist, called a DCTU-MISO network. To maximize the sum spectral efficiency in this system, we present the spectral efficiency for delay-tolerant users and provide a lower bound of the spectral efficiency for delay-constrained users. We consider an optimization problem that maximizes the sum spectral efficiency of delay-tolerant users while satisfying the latency constraint of delay-constrained users, and propose a generalized power iteration (GPI) precoding algorithm that finds a principal precoding vector. Furthermore, we extend a DCTU-MISO network to the multiple time slots scenario and propose a recursive GPI precoding algorithm. In simulation results, we validate proposed methods outperform baseline schemes and present the effect of network parameters on the average sum spectral efficiency. IEEE
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