Joint Resource Allocation Algorithm for Energy Harvest-Based D2D Communication Underlaying Cellular Networks Considering Fairness

In this letter, we aim to maximize the minimum data volume for the energy harvest (EH)-based D2D communication underlaying cellular network. The formulated problem is a mixed integer nonlinear programming (MINLP), which we split into two sub-problems to solve separately. We first employ the Successi...

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Veröffentlicht in:IEEE communications letters Jg. 27; H. 4; S. 1200 - 1204
Hauptverfasser: Wang, Ping, Yang, Kun, Mei, Haibo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.04.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Cellular communication
Cellular networks
D2D communication
Device-to-device communication
Energy harvesting
Interference
Mixed integer
Multiplexing
Nonlinear programming
Optimization
Quality of service
Resource allocation
Resource management
time splitting
ISSN:1089-7798, 1558-2558
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Zusammenfassung:In this letter, we aim to maximize the minimum data volume for the energy harvest (EH)-based D2D communication underlaying cellular network. The formulated problem is a mixed integer nonlinear programming (MINLP), which we split into two sub-problems to solve separately. We first employ the Successive Convex Approximation (SCA) method to solve the time and power allocation, while putting the spectrum multiplexed pairs as fixed. Then, we develop a fair allocation mechanism to allocate spectrum resources. Numerical results show that our developed algorithm outperforms other benchmark schemes in terms of the minimum and overall data volumes.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2023.3244749