Capacity Region of $K$-User Discrete Memoryless Interference Channels with a Mixed Strong-Very Strong Interference
G.Abhinav, B.Sundar Rajan

TL;DR
This paper derives the capacity region for K-user discrete memoryless interference channels with mixed strong and very strong interference, extending previous Gaussian results and providing a simpler derivation for the 3-user case.
Contribution
It generalizes the capacity region characterization to K-user DMICs with mixed interference, including a simplified proof for the 3-user Gaussian case.
Findings
Capacity region for K-user DMIC with mixed interference established
Special case derivation for 3-user Gaussian interference channel provided
Extension of previous Gaussian results to discrete memoryless channels
Abstract
The capacity region of the 3-user Gaussian Interference Channel (GIC) with mixed strong-very strong interference was established in \cite{ChS}. The mixed strong-very strong interference conditions considered in \cite{ChS} correspond to the case where, at each receiver, one of the interfering signals is strong and the other is very strong. In this paper, we derive the capacity region of -user Discrete Memoryless Interference Channels (DMICs) with a mixed strong-very strong interference. This corresponds to the case where, at each receiver one of the interfering signals is strong and the other interfering signals are very strong. This includes, as a special case, the 3-user DMIC with mixed strong-very strong interference. The proof is specialized to the 3-user GIC case and hence an alternative simpler derivation for the capacity region of the 3-user GIC with mixed…
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 · Advanced MIMO Systems Optimization · Wireless Body Area Networks
