Approximate Sum-Capacity of K-user Cognitive Interference Channels with Cumulative Message Sharing
Diana Maamari, Daniela Tuninetti, Natasha Devroye

TL;DR
This paper analyzes the sum-capacity of K-user cognitive interference channels with cumulative message sharing, providing outer bounds, capacity results for special cases, and a constant-gap characterization of the Gaussian channel.
Contribution
It introduces a computable outer bound, characterizes sum-capacity for specific scenarios, and demonstrates that a single scheme suffices across interference regimes.
Findings
Capacity achieved for 3-user channels with arbitrary gains.
Sum-capacity characterized within a constant gap for Gaussian channels.
gDoF approaches that of a broadcast channel as K increases.
Abstract
This paper considers the K user cognitive interference channel with one primary and K-1 secondary/cognitive transmitters with a cumulative message sharing structure, i.e cognitive transmitter knows non-causally all messages of the users with index less than i. We propose a computable outer bound valid for any memoryless channel. We first evaluate the sum-rate outer bound for the high- SNR linear deterministic approximation of the Gaussian noise channel. This is shown to be capacity for the 3-user channel with arbitrary channel gains and the sum-capacity for the symmetric K-user channel. Interestingly. for the K user channel having only the K th cognitive know all the other messages is sufficient to achieve capacity i.e cognition at transmitter 2 to K-1 is not needed. Next the sum capacity of the symmetric Gaussian noise channel is characterized to within a constant additive…
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Taxonomy
TopicsWireless Communication Security Techniques · Cooperative Communication and Network Coding · Advanced MIMO Systems Optimization
