In both academia and industry, the multiple-input multiple-output (MIMO) techniques have shown enormous gains in spectral efficiency by exploiting the spatial degrees of freedom. So far, an underlying assumption in most of existing multi-user multiple-input multiple-output (MU-MIMO) design has been that all the users in the system use infinite blocklength, so that they can achieve the Shannon capacity. This setup, however, is not suitable considering the presence of delay-constrained users whose the blocklength tends to be finite. In this paper, we consider a heterogeneous setting in a MU-MEMO system where delay tolerant users and delay constrained users coexist. To maximize the sum spectral efficiency in this system, we first present the spectral efficiencies for delay-tolerant user and delay-constrained user as the Rayleigh quotient. We then derive a first-order optimality condition of the optimization problem that maximizes the sum spectral efficiency of total users and satisfies the latency requirement of delay-constrained users, and propose the generalized power iteration preceding algorithm. In the simulation results, we prove that the proposed method outperforms baseline schemes.
|Title of host publication||ICC 2021 - IEEE International Conference on Communications, Proceedings|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 2021 Jun|
|Event||2021 IEEE International Conference on Communications, ICC 2021 - Virtual, Online, Canada|
Duration: 2021 Jun 14 → 2021 Jun 23
|Name||IEEE International Conference on Communications|
|Conference||2021 IEEE International Conference on Communications, ICC 2021|
|Period||21/6/14 → 21/6/23|
Bibliographical noteFunding Information:
This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No.2020RIA2C2008878) and the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (NRF 2018RIA5AI060031).
© 2021 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Electrical and Electronic Engineering