Jul 6, 2023 · In this paper, we propose a joint sub-channel allocation and power control method to support massive access for non-orthogonal multiple access aided URLLC ( ...
Dive into the research topics of 'A Multi-Agent Reinforcement Learning Approach for Massive Access in NOMA-URLLC Networks'. Together they form a unique ...
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Dec 1, 2022 · This paper investigates the resource allocation problem in NOMA-enabled MEC system for multiple users, by joint optimization of power and computation resources.
A Multi-Agent Reinforcement Learning Approach for Massive Access in NOMA-URLLC Networks · Huimei HanXin Jiang +4 authors. M. Guizani. Computer Science ...
Section IV proposes a distributed cooperative multi-agent learning based massive access approach. Section V provides simulation results and. Section VI ...
Dec 9, 2024 · This paper investigates the resource allocation problem in NOMA-enabled MEC system for multiple users, by joint optimization of power and ...
Jul 27, 2023 · Taking these goals into account, this paper proposes an EE sub-channel and power alloca- tion strategy for URLLC-enabled GF-NOMA (URLLC-GF-NOMA) ...
The proposed DRL-JRM scheme is superior to existing alternatives in terms of system throughput and resistance to interference.
Jul 3, 2023 · Taking these goals into account, this paper proposes an EE sub-channel and power allocation strategy for URLLC-enabled GF-NOMA (URLLC-GF-NOMA) ...