Multicell Interference Management in Device to Device Underlay Cellular Networks

Georgios Katsinis, Eirini Eleni Tsiropoulou and Symeon Papavassiliou
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Georgios Katsinis: School of Electrical & Computer Engineering, National Technical University of Athens, 9 Iroon Polytechniou str, Zografou, 15780 Athens, Greece
Eirini Eleni Tsiropoulou: Electrical and Computer Engineering Department, University of New Mexico, Albuquerque, NM 87131, USA
Symeon Papavassiliou: School of Electrical & Computer Engineering, National Technical University of Athens, 9 Iroon Polytechniou str, Zografou, 15780 Athens, Greece

Future Internet, 2017, vol. 9, issue 3, 1-20

Abstract: In this paper, the problem of interference mitigation in a multicell Device to Device (D2D) underlay cellular network is addressed. In this type of network architectures, cellular users and D2D users share common Resource Blocks (RBs). Though such paradigms allow potential increase in the number of supported users, the latter comes at the cost of interference increase that in turn calls for the design of efficient interference mitigation methodologies. To treat this problem efficiently, we propose a two step approach, where the first step concerns the efficient RB allocation to the users and the second one the transmission power allocation. Specifically, the RB allocation problem is formulated as a bilateral symmetric interaction game. This assures the existence of a Nash Equilibrium (NE) point of the game, while a distributed algorithm, which converges to it, is devised. The power allocation problem is formulated as a linear programming problem per RB, and the equivalency between this problem and the total power minimization problem is shown. Finally, the operational effectiveness of the proposed approach is evaluated via numerical simulations, while its superiority against state of the art approaches existing in the recent literature is shown in terms of increased number of supported users, interference reduction and power minimization.

Keywords: interference management; resource allocation; power control; multicell device to device underlay networks; game theory; linear programming (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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