Logo image
Resource allocation for URLLC and eMBB traffic in uplink wireless networks
期刊文章   同儕審查

Resource allocation for URLLC and eMBB traffic in uplink wireless networks

Duan-Shin Lee, Cheng-Shang Chang, Ruhui ZhangMao-Pin Lee
Performance Evaluation, 卷.161, 102353
09/2023

摘要

Constrained optimization Game theory Resource allocation Water-filling algorithm Wireless networks Software Modeling and Simulation Hardware and Architecture Computer Networks and Communications
In this paper we consider two resource allocation problems of URLLC traffic and eMBB traffic in uplink 5G networks. We propose to divide frequencies into a common region and a grant-based region. Frequencies in the grant-based region can only be used by eMBB traffic, while frequencies in the common region can be used by eMBB traffic as well as URLLC traffic. In the first resource allocation problem we propose a two-player game to address the size of the grant-based region and the size of the common region. We show that this game has specific pure Nash equilibria. In the second resource allocation problem we determine the number of bits that each eMBB user can transmit in a request-grant cycle. We propose a constrained optimization problem to minimize the variance of the number of bits granted to the eMBB users. We show that a water-filling algorithm solves this constrained optimization problem. From simulation, we show that our scheme, consisting of resource allocation according to Nash equilibria of a game, persistent random transmission of URLLC packets and allocation of eMBB packets by a water-filling algorithm, works better than four other heuristic methods.

相關連結

指標

1 檢視次數

詳細資料

Logo image