Totally Asynchronous Interference Channels
Kamyar Moshksar, Amir K. Khandani

TL;DR
This paper investigates asynchronous interference channels with multiple users sharing frequency bands, deriving bounds and optimal spectrum division strategies to maximize outage capacity under uncertainty about user count and channel gains.
Contribution
It introduces a novel analysis of asynchronous interference channels, deriving bounds and optimal spectrum partitioning strategies for maximizing outage capacity without user or channel gain knowledge.
Findings
Derived upper and lower bounds on mutual information for up to two users.
Established closed-form achievable rates as code length approaches infinity.
Designed activation probabilities to maximize outage capacity in multi-user scenarios.
Abstract
This paper addresses an interference channel consisting of active users sharing frequency sub-bands. Users are asynchronous meaning there exists a mutual delay between their transmitted codes. A stationary model for interference is considered by assuming the starting point of an interferer's data is uniformly distributed along the codeword of any user. The spectrum is divided to private and common bands each containing and frequency sub-bands respectively. We consider a scenario where all transmitters are unaware of the number of active users and the channel gains. The optimum and are obtained such that the so-called outage capacity per user is maximized. If , upper and lower bounds on the mutual information between the input and output of the channel for each user are derived…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Wireless Network Optimization · Cooperative Communication and Network Coding
