The MISO interference channel from a game-theoretic perspective: A combination of selfishness and altruism achieves Pareto optimality
2008 (English)In: 2008 IEEE International Conference On Acoustics, Speech And Signal Processing: Vols 1-12, 2008, 5364-5367 p.Conference paper (Refereed)
We study the MISO interference channel from a game-theoretic perspective. Recently, it was shown that the rates at the non-cooperative Nash equilibrium (NE) strategy are poor especially in the medium and high SNR regimes. A reasonable outcome of the cooperative approach, close to the Pareto boundary of the achievable rate region, was shown to be the zero-forcing (ZF) strategy. In this work, we prove that any point on the Pareto boundary can be achieved by a certain linear combination of the NE and ZF strategies. A scalar weight per user chooses between "selfish" (NE) and altruistic (ZF) behavior. Thereby, the difficult beamforming optimization is reduced to a simple weight optimization. Different optimal operating points, e.g. maximum weighted sum-rate, the Nash-bargaining solution, or the Egalitarian solution, can be obtained by a computationally efficient iterative algorithm. The results are characterized by instantaneous achievable rate regions and the corresponding operating points.
Place, publisher, year, edition, pages
2008. 5364-5367 p.
, International Conference on Acoustics Speech and Signal Processing (ICASSP), ISSN 1520-6149
interference channel, multiple-input single-output (MISO), bearmforming, Pareto optimality, game theory
IdentifiersURN: urn:nbn:se:kth:diva-38389DOI: 10.1109/ICASSP.2008.4518872ISI: 000257456703325ScopusID: 2-s2.0-51449094808ISBN: 978-1-4244-1483-3OAI: oai:DiVA.org:kth-38389DiVA: diva2:437351
33rd IEEE International Conference on Acoustics, Speech and Signal Processing Location: Las Vegas, NV Date: MAR 30-APR 04, 2008