Detailed Information

Cited 0 time in webofscience Cited 1 time in scopus
Metadata Downloads

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
Files in This Item
There are no files associated with this item.
Appears in
Collections
Information and Communication Engineering > School of Electronic and Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE