Interference Mitigation through Limited Transmitter Cooperation
I-Hsiang Wang, David N. C. Tse

TL;DR
This paper analyzes the two-user Gaussian interference channel with limited transmitter cooperation, providing a near-optimal capacity region characterization and revealing a reciprocity with receiver cooperation in interference mitigation.
Contribution
It offers the first constant-gap capacity characterization for transmitter cooperation in interference channels and uncovers a fundamental reciprocity with receiver cooperation.
Findings
Capacity region within 6.5 bits/s/Hz of the true capacity.
Reciprocity between transmitter and receiver cooperation scenarios.
Similar benefits of cooperation in interference-limited regimes.
Abstract
Interference limits performance in wireless networks, and cooperation among receivers or transmitters can help mitigate interference by forming distributed MIMO systems. Earlier work shows how limited receiver cooperation helps mitigate interference. The scenario with transmitter cooperation, however, is more difficult to tackle. In this paper we study the two-user Gaussian interference channel with conferencing transmitters to make progress towards this direction. We characterize the capacity region to within 6.5 bits/s/Hz, regardless of channel parameters. Based on the constant-to-optimality result, we show that there is an interesting reciprocity between the scenario with conferencing transmitters and the scenario with conferencing receivers, and their capacity regions are within a constant gap to each other. Hence in the interference-limited regime, the behavior of the benefit…
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 · Cooperative Communication and Network Coding · Advanced MIMO Systems Optimization
