Deep Reinforcement Learning-Based Grant-Free NOMA Optimization for mURLLC
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2023.3238061
Abstract: Grant-free non-orthogonal multiple access (GF-NOMA) is a potential technique to support massive Ultra-Reliable and Low-Latency Communication (mURLLC) service. However, the dynamic resource configuration in GF-NOMA systems is challenging due to random traffics and collisions, that… read more here.
Keywords: grant free; configuration; resource configuration; murllc service ... See more keywords
Computation Resource Configuration With Adaptive QoS Requirements for Vehicular Edge Computing: A Fluid-Model Based Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3177404
Abstract: In this paper, the computation resource configuration for vehicular edge computing is investigated in this study. Dissimilar to a large portion of the current literature, we center around the problem of determining the optimal edge… read more here.
Keywords: resource configuration; qos requirements; computation resource; edge computing ... See more keywords
Resource Configuration for Full-Duplex-Aided Multiple-Access Edge Computation Offloading
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2021.3116022
Abstract: Multiple-access edge computation offloading (MECO) systems have been highlighted as a solution for extending the battery life and computation capability of mobile devices. However, in scenarios where information data and computation offloading (CO) data coexist,… read more here.
Keywords: computation; resource configuration; computation offloading; meco systems ... See more keywords