Interference Alignment-Aided Base Station Clustering using Coalition FormationView Researcher II's Other Codes
Julia simulation environment for “Interference Alignment-Aided Base Station Clustering using Coalition Formation” (Asilomar’15) and “Distributed Long-Term Base Station Clustering in Cellular Networks using Coalition Formation” (IEEE TSIPN 2016).
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|Authors||R. Brandt, R. Mochaourab, M. Bengtsson|
|Journal/Conference Name||Asilomar Conf. Signals, Systems, Computers (Asilomar'15)|
|Paper 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.|
|Date of publication||2015|
|Code Programming Language||Julia|