2 research outputs found
Overhead-Aware Distributed CSI Selection in the MIMO Interference Channel
We consider a MIMO interference channel in which the transmitters and
receivers operate in frequency-division duplex mode. In this setting,
interference management through coordinated transceiver design necessitates
channel state information at the transmitters (CSI-T). The acquisition of CSI-T
is done through feedback from the receivers, which entitles a loss in degrees
of freedom, due to training and feedback. This loss increases with the amount
of CSI-T. In this work, after formulating an overhead model for CSI acquisition
at the transmitters, we propose a distributed mechanism to find for each
transmitter a subset of the complete CSI, which is used to perform interference
management. The mechanism is based on many-to-many stable matching. We prove
the existence of a stable matching and exploit an algorithm to reach it.
Simulation results show performance improvement compared to full and minimal
CSI-T.Comment: 5 pages, 2 figures. to appear at EUSIPCO 2015, Special Session on
Algorithms for Distributed Coordination and Learnin
Interference Alignment-Aided Base Station Clustering using Coalition Formation
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.Comment: 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, US