JOURNAL ARTICLE

Capacity Results for Binary Fading Interference Channels With Delayed CSIT

Alireza VahidMohammad Ali Maddah-AliAmir Salman Avestimehr

Year: 2014 Journal:   IEEE Transactions on Information Theory Vol: 60 (10)Pages: 6093-6130   Publisher: Institute of Electrical and Electronics Engineers

Abstract

To study the effect of lack of up-to-date channel state information at the transmitters (CSIT), we consider two-user binary fading interference channels with Delayed-CSIT. We characterize the capacity region for such channels under homogeneous assumption where channel gains have identical and independent distributions across time and space, eliminating the possibility of exploiting time/space correlation. We introduce and discuss several novel coding opportunities created by outdated CSIT that can enlarge the achievable rate region. The capacity-achieving scheme relies on accurate combination, concatenation, and merging of these opportunities, depending on the channel statistics. The outer-bounds are based on an extremal inequality we develop for a binary broadcast channel with Delayed-CSIT. We further extend the results and characterize the capacity region when output feedback links are available from the receivers to the transmitters in addition to the delayed knowledge of the channel state information. We also discuss the extension of our results to the non-homogeneous setting.

Keywords:
Concatenation (mathematics) Fading Channel state information Binary number Channel (broadcasting) Computer science Binary erasure channel Interference (communication) Channel capacity Coding (social sciences) Transmitter Algorithm Topology (electrical circuits) Telecommunications Mathematics Wireless Statistics

Metrics

101
Cited By
18.02
FWCI (Field Weighted Citation Impact)
48
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Wireless Communication Security Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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