2007Unpublished venueRequires access

Optimal order of decoding for max-min fairness in k-user memoryless interference channels

Mohammad Ali Maddah-Ali, Hajar Mahdavi-Doost, Amir K. Khandani

Open publisher page 14 citations

Abstract

A K-user memoryless interference channel is considered where each receiver sequentially de-codes the data of a subset of transmitters before it decodes the data of the designated transmitter. Therefore, the data rate of each transmitter depends on (i) the subset of receivers which decode the data of that transmitter, (ii) the decoding order, employed at each of these receivers. In this paper, a greedy algorithm is developed to find the users which are decoded at each receiver and the corresponding decoding order such that the minimum rate of the users is maximized. It is proven that the proposed algorithm is optimal.

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What this paper is about

A K-user memoryless interference channel is considered where each receiver sequentially de-codes the data of a subset of transmitters before it decodes the data of the designated transmitter. Therefore, the data rate of each transmitter depends on (i) the subset of receivers which decode the data of that transmitter, (ii) the decoding order, employed at each of these receivers. In this paper, a greedy algorithm is developed to find the users which are decoded at each receiver and the corresponding decoding order such that the minimum rate of the users is maximized. It is proven that the proposed algorithm is optimal.

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OpenAlex reports 14 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A K-user memoryless interference channel is considered where each receiver sequentially de-codes the data of a subset of transmitters before it decodes the data of the designated transmitter. Therefore, the data rate of each transmitter depends on (i) the subset of receivers which decode the data of that transmitter, (ii) the decoding order, employed at each of these receivers. In this paper, a greedy algorithm is developed to find the users which are decoded at each receiver and the corresponding decoding order such that the minimum rate of the users is maximized. It is proven that the proposed algorithm is optimal.

Key concepts: Decoding methods, Interference (communication), Max-min fairness, Fairness measure, Computer science, Order (exchange), Computer network, Channel (broadcasting)

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