Asynchronous Transmission over Gaussian Interference Channels with Stochastic Data Arrival
Kamyar Moshksar

TL;DR
This paper proposes an asynchronous transmission scheme for Gaussian interference channels with stochastic data arrivals, significantly reducing delay and enabling efficient rate and reliability optimization based on receiver-known states.
Contribution
It introduces a novel asynchronous transmission model for GIC with stochastic arrivals, transforming it into a state-aware GIC and providing design strategies for target rates.
Findings
Asynchronous transmission reduces delay compared to synchronous schemes.
The system can be modeled as a state-dependent GIC with known receiver states.
Design methods achieve target rates and minimize decoding failures.
Abstract
This paper addresses a Gaussian interference channel with two transmitter-receiver~(Tx-Rx) pairs under stochastic data arrival~(GIC-SDA). Information bits arrive at the transmitters according to independent and asynchronous Bernoulli processes~(Tx-Tx~asynchrony). Each information source turns off after generating a given total number of bits. The transmissions are \textit{asynchronous} (Tx-Rx~asynchrony) in the sense that each Tx sends a codeword to its Rx immediately after there are enough bits available in its buffer. Such asynchronous style of transmission is shown to significantly reduce the transmission delay in comparison with the existing Tx-Rx synchronous transmission schemes. The receivers learn the activity frames of both transmitters by employing sequential joint-typicality detection. As a consequence, the GIC-SDA under Tx-Rx asynchrony is represented by a standard GIC with…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsWireless Communication Security Techniques · Molecular Communication and Nanonetworks · Cooperative Communication and Network Coding
