JOURNAL ARTICLE

Distributed resource allocation for device-to-device communications underlaying cellular networks

Abstract

In this paper, we investigate the resource sharing problem to optimize the system performance in device-to-device (D2D) communications underlaying cellular networks from a distributed and cooperative perspective. Specifically, we formulate a coalitional game with transferable utility, in which each user intends to maximize its own utility and has the incentive to cooperate with other users to form a strengthened user group that can increase the opportunity to win its preferred spectrum resources. Furthermore, we propose a distributed merge-and-split based coalition formation algorithm based on a new defined Max-Coalition order to effectively process the resource allocation problem. Simulation results confirm that, with much lower computational complexity, the proposed scheme achieves an approaching performance in terms of network sum-rate compared with the centralized optimal resource allocation scheme obtained via exhaustive search.

Keywords:
Computer science Resource allocation Merge (version control) Distributed computing Resource management (computing) Computer network Game theory Shared resource Cellular network Scheme (mathematics)

Metrics

82
Cited By
27.06
FWCI (Field Weighted Citation Impact)
9
Refs
1.00
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Game Theory and Voting Systems
Social Sciences →  Economics, Econometrics and Finance →  Economics and Econometrics
Game Theory and Applications
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications

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