Source Broadcasting to the Masses: Separation has a Bounded Loss
Uri Mendlovic, Meir Feder

TL;DR
This paper analyzes the source broadcasting problem, providing bounds on the loss caused by separation and time-sharing, showing that separation remains near-optimal even as the number of receivers grows, especially for degraded channels.
Contribution
It establishes bounds on the rate loss due to separation in source broadcasting, demonstrating near-optimality of separation-based schemes for degraded and AWGN broadcast channels.
Findings
Separation incurs a bounded loss in source broadcasting.
For degraded channels, separation achieves at least a fraction of the joint optimal rate.
In AWGN channels, separation is within one bit for two receivers, and within log2 T bits for T receivers.
Abstract
This work discusses the source broadcasting problem, i.e. transmitting a source to many receivers via a broadcast channel. The optimal rate-distortion region for this problem is unknown. The separation approach divides the problem into two complementary problems: source successive refinement and broadcast channel transmission. We provide bounds on the loss incorporated by applying time-sharing and separation in source broadcasting. If the broadcast channel is degraded, it turns out that separation-based time-sharing achieves at least a factor of the joint source-channel optimal rate, and this factor has a positive limit even if the number of receivers increases to infinity. For the AWGN broadcast channel a better bound is introduced, implying that all achievable joint source-channel schemes have a rate within one bit of the separation-based achievable rate region for two receivers, or…
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
