Opportunistic Interference Alignment for MIMO Interfering Multiple-Access Channels
Hyun Jong Yang, Won-Yong Shin, Bang Chul Jung, Arogyaswami Paulraj

TL;DR
This paper introduces two opportunistic interference alignment methods for MIMO interfering multiple-access channels, analyzing their performance and demonstrating improved user scaling laws and sum-rate performance over conventional techniques.
Contribution
It proposes antenna selection-based and SVD-based OIA techniques for MIMO IMAC, deriving new user scaling laws and showing their advantages over existing methods.
Findings
Antenna selection-based OIA does not change user scaling law if L is fixed.
SVD-based OIA reduces user scaling requirement significantly.
Proposed OIA techniques outperform conventional methods in sum-rate performance.
Abstract
We consider the -cell multiple-input multiple-output (MIMO) interfering multiple-access channel (IMAC) with time-invariant channel coefficients, where each cell consists of a base station (BS) with antennas and users having antennas each. In this paper, we propose two opportunistic interference alignment (OIA) techniques utilizing multiple transmit antennas at each user: antenna selection-based OIA and singular value decomposition (SVD)-based OIA. Their performance is analyzed in terms of \textit{user scaling law} required to achieve degrees-of-freedom (DoF), where denotes the number of simultaneously transmitting users per cell. We assume that each selected user transmits a single data stream at each time-slot. It is shown that the antenna selection-based OIA does not fundamentally change the user scaling condition if is fixed, compared with the…
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