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Journal Article
Precoding Design for Multi-User MISO Systems With Delay-Constrained and -Tolerant Users
- Authors
- Minsu Kim, Jeonghun Park, Jemin Lee
- Issue Date
- 2022-07
- Citation
- IEEE Transactions on Wireless Communications, v.21 no.7, pp.5090-5105
- ISSN
- 1536-1276
- Publisher
- IEEE
- Language
- English
- Type
- Journal Article
- Project Code
- 22HH1900, Development of 3D Spatial Mobile Communication Technology, Moon-Sik Lee
- Abstract
- In both academia and industry, multi-user multiple-input 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.
- KSP Keywords
- Degrees of freedom(DOF), Delay-Tolerant, Delay-constrained, Latency Constraint, Lower bound, MISO systems, Multiple-input single-output(MISO), Network Parameters, Optimization problem, Power iteration, Precoding Vector