Interference Alignment-Aided Base Station Clustering using Coalition Formation
Abstract
Base station clustering is necessary in large interference networks, where the channel state information (CSI) acquisition overhead otherwise would be overwhelming. In this paper, we propose a novel long-term throughput model for the clustered users which addresses the balance between interference mitigation capability and CSI acquisition overhead. The model only depends on statistical CSI, thus enabling long-term clustering. Based on notions from coalitional game theory, we propose a low-complexity distributed clustering method. The algorithm converges in a couple of iterations, and only requires limited communication between base stations. Numerical simulations show the viability of the proposed approach.
Cite
@article{arxiv.1511.04126,
title = {Interference Alignment-Aided Base Station Clustering using Coalition Formation},
author = {Rasmus Brandt and Rami Mochaourab and Mats Bengtsson},
journal= {arXiv preprint arXiv:1511.04126},
year = {2016}
}
Comments
2nd Prize, Student Paper Contest. Copyright 2015 SS&C. Published in the Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, Nov 8-11, 2015, Pacific Grove, CA, USA