Title :
Partial Interference Alignment for
-User MIMO Interference Channels
Author :
Huang, Huang ; Lau, VincentK N.
Author_Institution :
ECE Dept., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
Abstract :
In this paper, we consider a Partial Interference Alignment and Interference Detection (PIAID) design for K-user quasi-static MIMO interference channels with discrete constellation inputs. Each transmitter has M antennas and transmits L independent data streams to the desired receiver with N receive antennas. We focus on the case where not all K-1 interfering transmitters can be aligned at every receiver. As a result, there will be residual interference at each receiver that cannot be aligned. Each receiver detects and cancels the residual interference based on the constellation map. However, there is a window of unfavorable interference profile at the receiver for Interference Detection (ID). In this paper, we propose a low complexity Partial Interference Alignment scheme in which we dynamically select the user set for IA so as to create a favorable interference profile for ID at each receiver. We first derive the average symbol error rate (SER) by taking into account of the non-Guassian residual interference due to discrete constellation. Using graph theory, we then devise a low complexity user set selection algorithm for the PIAID scheme, which minimizes the asymptotically tight bound for the average end-to-end SER performance. Moreover, we substantially simplify interference detection at the receiver using Semi-Definite Relaxation (SDR) techniques. It is shown that the SER performance of the proposed PIAID scheme has significant gain compared with various conventional baseline solutions.
Keywords :
MIMO communication; graph theory; interference (signal); radio receivers; radio transmitters; receiving antennas; relaxation theory; wireless channels; K-user quasi-static MIMO interference channel; average symbol error rate; constellation map; discrete constellation; graph theory; interference detection design; interference profile; k-user MIMO interference channel; low complexity user set selection algorithm; nonGuassian residual interference; partial interference alignment scheme; receive antennas; receiver; semidefinite relaxation technique; transmitter; Complexity theory; Interference channels; MIMO; Optimization; Receivers; Transmitters; Discrete constellation; interference alignment; interference channels; interference detection; symbol error rate (SER);
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2011.2161297