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المؤلفAmin, Azka
المؤلفLiu, Xihua
المؤلفKhan, Imran
المؤلفUthansakul, Peerapong
المؤلفForsat, Masoud
المؤلفMirjavadi, Seyed Sajad
تاريخ الإتاحة2023-02-12T06:20:49Z
تاريخ النشر2020
اسم المنشورComputers, Materials and Continua
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.32604/cmc.2020.011749
معرّف المصادر الموحدhttp://hdl.handle.net/10576/39929
الملخصOne of the most effective technology for the 5G mobile communications is Device-to-device (D2D) communication which is also called terminal pass-through technology. It can directly communicate between devices under the control of a base station and does not require a base station to forward it. The advantages of applying D2D communication technology to cellular networks are: It can increase the communication system capacity, improve the system spectrum efficiency, increase the data transmission rate, and reduce the base station load. Aiming at the problem of co-channel interference between the D2D and cellular users, this paper proposes an efficient algorithm for resource allocation based on the idea of Q-learning, which creates multi-agent learners from multiple D2D users, and the system throughput is determined from the corresponding state-learning of the Q value list and the maximum Q action is obtained through dynamic power for control for D2D users. The mutual interference between the D2D users and base stations and exact channel state information is not required during the Q-learning process and symmetric data transmission mechanism is adopted. The proposed algorithm maximizes the system throughput by controlling the power of D2D users while guaranteeing the quality-of-service of the cellular users. Simulation results show that the proposed algorithm effectively improves system performance as compared with existing algorithms.
راعي المشروعFunding Statement: This work is supported by SUT research and development fund. The publication of this article was funded by the Qatar National Library. Seyed Sajad Mirjavadi also appreciates the help from the Fidar Project Qaem Company (FPQ).
اللغةen
الناشرTech Science Press
الموضوع5G
D2D communications
Power allocation algorithm
Resource optimization
العنوانA robust resource allocation scheme for device-to-device communications based on Q-Learning
النوعArticle
الصفحات1487-1505
رقم العدد2
رقم المجلد65
dc.accessType Open Access


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