ICASSP 2026oral0 citations
On the Optimality of Rate Balancing for Max-Min Fair Multicasting
Abstract
The max-min fair (MMF) multicasting problem is known to be NP-hard. In this work, we analytically derive the optimal solution to this NP-hard problem and establish the equivalence between rate balancing and the optimal MMF multicasting solution under certain conditions. Based on this theoretical insight, we propose a low-complexity algorithm for MMF multicasting that yields closed-form solutions. Simulation results validate our analysis and demonstrate that the proposed algorithm outperforms the state-of-the-art methods while being computationally more efficient.
BibTeX
@inproceedings{icassp2026_ontheoptimalityo,
title = {On the Optimality of Rate Balancing for Max-Min Fair Multicasting},
author = {Sadaf Syed},
booktitle = {ICASSP 2026},
year = {2026}
}