A Novel QoS Guaranteed Joint Resource Allocation Framework for 5G NR with Supplementary Uplink Transmission

Author:

Sun Yanzan1ORCID,Huang Yanyu1ORCID,Yu Tao1,Chen Xiaojing1,Zhang Shunqing1ORCID

Affiliation:

1. School of Communication and Information Engineering, Shanghai University, 99 Shangda Road, Shanghai 200444, China

Abstract

In 5G scenarios, the dynamic resource allocation of network slicing is crucial for quality-of-service (QoS) guaranteed under fluctuating traffic demands in rapidly changing communication environments. In this paper, we propose a novel QoS guaranteed joint resource allocation framework for NR with supplementary uplink (SUL) called QGJRA-SUL, where three parameters of SUL admission, TDD pattern, and band slicing scheme are jointly optimized. The framework is driven by a well-designed deep reinforcement learning agent. By combining the activation functions tanh and softmax, the agent can jointly optimize three parameters at the same time. Under the original problem of QoS satisfaction rate maximization, we introduce the load unbalance degree of slices into the reward function as a penalty term. The simulation results show that the framework can guarantee the QoS satisfaction rate well and balance the load of slices. QGJRA-SUL can accommodate 15% more user equipments (UEs) with the same QoS satisfaction rate than that of a traditional single-band solution without SUL, and achieve a 73% increase in the performance of load balancing than that without a load balancing mechanism near the full load.

Funder

Innovation Program of Shanghai Municipal Science and Technology Commission

National Key Research and Development Program of China

the National Key Research and Development Program of China

National Natural Science Foundation of China

Key-Area Research and Development Program of Guangdong Province

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference30 articles.

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3. A survey on downlink-uplink decoupled access: Advances, challenges, and open problems;Shi;Comput. Netw.,2022

4. Alliance, N. (2015). Next Generation of Mobile Networks, White Paper, NGMN.

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