Opportunistic Interference Management for Multicarrier systems
Shaunak Mishra, I-Hsiang Wang, Suhas Diggavi

TL;DR
This paper explores opportunistic interference management in multicarrier systems with bursty interference, using advanced coding strategies and bounds to improve symmetric rate performance in 2-user interference channels.
Contribution
It introduces a novel approach combining erasure coding, signal-scale alignment, and Han-Kobayashi coding for bursty interference in multicarrier channels, with tight bounds and conjectures on optimality.
Findings
Inner bounds achieved with erasure coding and signal alignment
Outer bounds established using information-theoretic inequalities
Demonstrates the application of multilevel diversity coding techniques
Abstract
We study opportunistic interference management when there is bursty interference in parallel 2-user linear deterministic interference channels. A degraded message set communication problem is formulated to exploit the burstiness of interference in M subcarriers allocated to each user. We focus on symmetric rate requirements based on the number of interfered subcarriers rather than the exact set of interfered subcarriers. Inner bounds are obtained using erasure coding, signal-scale alignment and Han-Kobayashi coding strategy. Tight outer bounds for a variety of regimes are obtained using the El Gamal-Costa injective interference channel bounds and a sliding window subset entropy inequality. The result demonstrates an application of techniques from multilevel diversity coding to interference channels. We also conjecture outer bounds indicating the sub-optimality of erasure coding across…
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
TopicsCooperative Communication and Network Coding · Wireless Communication Security Techniques · Advanced MIMO Systems Optimization
