Abstract
This paper considers a K-user multiple-input multiple-output (MIMO) interference channel in which un-coordinated interference appears. Due to the uncoordinated interference, perfect interference alignment (IA) may be not attained. In order to maximize the achievable degrees-of-freedom (DoF) per user, the interference alignment is formulated as a rank constrained rank minimization (RCRM) problem which maximizes the rank of the interference matrix while keeping a full-rank constraint on the direct signal space. Because of the non-convexity of the optimization problem, we propose a new approach to provide a tight convex approximation for the rank function, instead of using the standard nuclear norm approximation. The optimum precoders and receiver subspaces are obtained iteratively via alternating minimizing approach, with convergence guaranteed. Simulation results are presented to validate the effectiveness of the proposed algorithms.
Original language | English |
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Title of host publication | Conference Record - Asilomar Conference on Signals, Systems and Computers |
Pages | 1571-1575 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 1 Dec 2012 |
Event | 46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012 - Pacific Grove, CA, United Kingdom Duration: 4 Nov 2012 → 7 Nov 2012 |
Conference
Conference | 46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012 |
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Country/Territory | United Kingdom |
City | Pacific Grove, CA |
Period | 4/11/12 → 7/11/12 |