Energy efficiency optimization under joint transmittion power and channel allocation for cellular network

In order to solve problem of low-energy efficiency caused by device-to-device (D2D) interference in hybrid D2D cellular network, energy efficiency improvement based on joint power control and channel allocation (EEPC) algorithm was proposed to improve the energy efficiency.The optimization problem o...

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Main Author: Huibin XU
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2024-02-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024004/
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author Huibin XU
author_facet Huibin XU
author_sort Huibin XU
collection DOAJ
description In order to solve problem of low-energy efficiency caused by device-to-device (D2D) interference in hybrid D2D cellular network, energy efficiency improvement based on joint power control and channel allocation (EEPC) algorithm was proposed to improve the energy efficiency.The optimization problem of maximizing energy efficiency was established with the constraint of ensuring the minimum rate of D2D users and cellular users.By using block coordinate descent method, the optimization problem was transformed into two sub-problems of channel allocation and power control, which were solved by Q-learning algorithm, Dinkelbach algorithm and majorization-minimization (MM) respectively.The greedy search factor in Q-learning algorithm was improved, and a dynamic search factor was used to balance the relationship between exploration and exploitation.Performance analysis shows that the proposed EEPC algorithm improves the energy efficiency of the system.
format Article
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institution Kabale University
issn 1000-0801
language zho
publishDate 2024-02-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-65fe068715eb4c7597a5c207ac7229d42025-01-15T02:48:31ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012024-02-0140384659555625Energy efficiency optimization under joint transmittion power and channel allocation for cellular networkHuibin XUIn order to solve problem of low-energy efficiency caused by device-to-device (D2D) interference in hybrid D2D cellular network, energy efficiency improvement based on joint power control and channel allocation (EEPC) algorithm was proposed to improve the energy efficiency.The optimization problem of maximizing energy efficiency was established with the constraint of ensuring the minimum rate of D2D users and cellular users.By using block coordinate descent method, the optimization problem was transformed into two sub-problems of channel allocation and power control, which were solved by Q-learning algorithm, Dinkelbach algorithm and majorization-minimization (MM) respectively.The greedy search factor in Q-learning algorithm was improved, and a dynamic search factor was used to balance the relationship between exploration and exploitation.Performance analysis shows that the proposed EEPC algorithm improves the energy efficiency of the system.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024004/hybrid D2D cellular networkenergy efficiencychannel alloctionQ-learningDinkelbach algorithm
spellingShingle Huibin XU
Energy efficiency optimization under joint transmittion power and channel allocation for cellular network
Dianxin kexue
hybrid D2D cellular network
energy efficiency
channel alloction
Q-learning
Dinkelbach algorithm
title Energy efficiency optimization under joint transmittion power and channel allocation for cellular network
title_full Energy efficiency optimization under joint transmittion power and channel allocation for cellular network
title_fullStr Energy efficiency optimization under joint transmittion power and channel allocation for cellular network
title_full_unstemmed Energy efficiency optimization under joint transmittion power and channel allocation for cellular network
title_short Energy efficiency optimization under joint transmittion power and channel allocation for cellular network
title_sort energy efficiency optimization under joint transmittion power and channel allocation for cellular network
topic hybrid D2D cellular network
energy efficiency
channel alloction
Q-learning
Dinkelbach algorithm
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024004/
work_keys_str_mv AT huibinxu energyefficiencyoptimizationunderjointtransmittionpowerandchannelallocationforcellularnetwork