2015•Unpublished venueRequires access

Distributed interference alignment with low overhead

Yanjun Ma

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Abstract

Interference alignment (IA) has been shown to achieve the maximum achievable degrees of freedom in the interference channel. However, the overhead required is huge, which cannot be acceptable in a real environment. In this paper, based on closed-form IA solutions, a low overhead distributed interference alignment (LOIA) scheme is proposed for the K-user single-input single-output (SISO) interference channel, and extension to multiple antenna scenarios are also considered. Compared with the iterative interference alignment (IIA) algorithm proposed by Gomadam et al., the overhead of our LOIA scheme is greatly reduced. Simulation results show that the IIA algorithm is strictly suboptimal compared with our LOIA algorithm in the overhead-limited scenario.

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What this paper is about

Interference alignment (IA) has been shown to achieve the maximum achievable degrees of freedom in the interference channel. However, the overhead required is huge, which cannot be acceptable in a real environment. In this paper, based on closed-form IA solutions, a low overhead distributed interference alignment (LOIA) scheme is proposed for the K-user single-input single-output (SISO) interference channel, and extension to multiple antenna scenarios are also considered. Compared with the iterative interference alignment (IIA) algorithm proposed by Gomadam et al., the overhead of our LOIA scheme is greatly reduced. Simulation results show that the IIA algorithm is strictly suboptimal compared with our LOIA algorithm in the overhead-limited scenario.

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Available abstract

Interference alignment (IA) has been shown to achieve the maximum achievable degrees of freedom in the interference channel. However, the overhead required is huge, which cannot be acceptable in a real environment. In this paper, based on closed-form IA solutions, a low overhead distributed interference alignment (LOIA) scheme is proposed for the K-user single-input single-output (SISO) interference channel, and extension to multiple antenna scenarios are also considered. Compared with the iterative interference alignment (IIA) algorithm proposed by Gomadam et al., the overhead of our LOIA scheme is greatly reduced. Simulation results show that the IIA algorithm is strictly suboptimal compared with our LOIA algorithm in the overhead-limited scenario.

Key concepts: Overhead (engineering), Interference alignment, Interference (communication), Computer science, Channel (broadcasting), Scheme (mathematics), Co-channel interference, Single antenna interference cancellation

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