NDLI: Game-theoretic approach to energy-efficient resource allocation in device-to-device underlay communications

Content Provider	IET Digital Library
Author	Zhou, Zhenyu Dong, Mianxiong Ota, Kaoru Shi, Ruifeng Liu, Zhiheng Sato, Takuro
Abstract	Despite the numerous benefits brought by device-to-device (D2D) communications, the introduction of D2D into cellular networks poses many new challenges in the resource allocation design because of the co-channel interference caused by spectrum reuse and limited battery life of user equipment's (UEs). Most of the previous studies mainly focus on how to maximise the spectral efficiency and ignore the energy consumption of UEs. In this study, the authors study how to maximise each UE's Energy Efficiency (EE) in an interference-limited environment subject to its specific quality of service and maximum transmission power constraints. The authors model the resource allocation problem as a non-cooperative game, in which each player is self-interested and wants to maximise its own EE. A distributed interference-aware energy-efficient resource allocation algorithm is proposed by exploiting the properties of the nonlinear fractional programming. The authors prove that the optimal solution obtained by the proposed algorithm is the Nash equilibrium of the non-cooperative game. The authors also analyse the tradeoff between EE and SE and derive closed-form expressions for EE and SE gaps.
Starting Page	375
Ending Page	385
Page Count	11
ISSN	17518628
Volume Number	9
e-ISSN	17518636
Issue Number	Issue 3, Feb (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/9/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2014.0337
Journal	IET Communications
Publisher Date	2015-01-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Cellular Network Cellular Radio Closed-form Expression Cochannel Interference D2D Communication Device-to-device Underlay Communication Distributed Interference-aware Energy-efficient Resource Allocation Algorithm EE Maximise Energy Conservation Energy Consumption Game Theoretic Approach Game Theory Interference-limited Environment Mobile Radio System Nash Equilibrium Noncooperative Game Nonlinear Fractional Programming Nonlinear Programming Optimisation Technique Probability Theory Quality of Service Resource Allocation Spectral Efficiency Maximisation Spectrum Reuse Statistics Stochastic Linearised SCUC Telecommunication Power Management Transmission Power Constraint UE Energy Efficiency Maximisation User Equipment Battery Life Limitation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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