RL-based Resource Allocation for Improving Throughput in Cellular D2D Communications

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Hakami V.; MOSTAFAVI S.A.; Arefinezhad Z.

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Journal Paper

Paper Information

Journal: TABRIZ JOURNAL OF ELECTRICAL ENGINEERING Year:2020 | Volume:50 | Issue:3 (93) Page(s): 1165-1177

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Information Journal Paper

Title

RL-based Resource Allocation for Improving Throughput in Cellular D2D Communications

Author(s)

Hakami V. | MOSTAFAVI S.A. | Arefinezhad Z. | Issue Writer Certificate

Keywords

Device-to-Device communications

Channel-state information

Spectrum Allocation

Reinforcement Learning

Abstract

With increasing demand of bandwidth-intensive application in cellular networks, coexistence of Device-to-Device (D2D) communications with cellular subscribers is a promising solution for high spectrum efficiency and network throughput. In cellular D2D communications, intelligent resource sharing among the network subscribers and paired devices is of significant importance. The most state-of-the-art works are relied on the exact values of Channel State Information (CSI) and subscribers’ transmission rate feedback which are not available in the real cases. In this paper, we propose a novel reinforcement-learning-based approach for mode selection and Spectrum Allocation called RL-D2D which shares efficiently resources amongst the D2D users and cellular subscribers with the need for CSI, achieving high network throughput. The results of evaluations show that RL-D2D achieves near-optimal performance and low outage rate in despite of lack of CSI and users’ transmission rate feedback.

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APA: Copy

Hakami, V., MOSTAFAVI, S.A., & Arefinezhad, Z.. (2020). RL-based Resource Allocation for Improving Throughput in Cellular D2D Communications. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, 50(3 (93) ), 1165-1177. SID. https://sid.ir/paper/965534/en

Vancouver: Copy

Hakami V., MOSTAFAVI S.A., Arefinezhad Z.. RL-based Resource Allocation for Improving Throughput in Cellular D2D Communications. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2020;50(3 (93) ):1165-1177. Available from: https://sid.ir/paper/965534/en

IEEE: Copy

V. Hakami, S.A. MOSTAFAVI, and Z. Arefinezhad, “RL-based Resource Allocation for Improving Throughput in Cellular D2D Communications,” TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 50, no. 3 (93) , pp. 1165–1177, 2020, [Online]. Available: https://sid.ir/paper/965534/en

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