On Feasibility of Generalized Interference Alignment with Partial Interference Cancelation

2012/10/25 by Lingxiang Li, Zhi Chen, Li, Lingxiang +3
Computer Science · Engineering · Mathematics · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Techniques #Wireless Communication Networks Research #cs.IT #math.IT

paper · pdf · doi:10.48550/arxiv.1210.6819

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arxiv created 2013/04/07 · arxiv updated 2013/04/09

Abstract

We study a new IA strategy which is referred to as "Partial Interference Cancelation-based Interference Alignment" (PIC-IA). Unlike the conventional IA strategy, PIC-IA does not strive to eliminate interference from all users. Instead, it aims to remove the most significant interference signals. This PIC-IA strategy generalizes the conventional IA concept by addressing partial, instead of complete, interference cancelation. The feasibility of this new strategy is studied in this paper. Our results show that for a symmetric, single-stream system with N_t transmit antennas and N_r receive antennas, the PIC-IA is feasible when the number of significant interference signals to be removed at each receiver is no more than N_t+N_r-2, no matter how many users are in the network. This is in sharp contrast to the conventional IA whose feasibility is severely limited by the number of users K.

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