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Dynamic resource allocation for 5G device-to-device communication based on expected SARSA
Publikationstyp
Conference Paper
Date Issued
2024-08-25
Sprache
English
First published in
Number in series
14783
Start Page
231
End Page
246
Citation
12th International Conference on Networked Systems (NETYS 2024)
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
Springer
ISBN
9783031673207
Device-to-device (D2D) communication is a key technology introduced with the fifth generation (5G) communication standards. D2D aids massively in catering the continuously increasing demand on the connectivity needs. Despite that, there are several challenges involved with D2D communication. Among other issues, interference management is of high importance when coexisting with the traditional cellular network. Improper interference handling in the network leads to increased system delay, low sum rate and throughput along with reduced spectral efficiency. The strategy of allocating resources such as channel, spectrum and transmission power is a fundamental component leading to interference management. In our work, we address this challenge of interference management in 5G D2D communication. We first investigate the resource allocation methods for D2D communication suggested in the literature. Then we propose a dynamic resource allocation technique for 5G D2D users based on Expected SARSA reinforcement learning algorithm. With simulation results, we show that the system throughput performance can be uplifted to a greater extent while maintaining a high reliability by applying the proposed dynamic resource allocation algorithm.
Subjects
5G device-to-device communication
Expected SARSA
Resource allocation
MLE@TUHH
DDC Class
621.38: Electronics, Communications Engineering