collaborators

4 papers

eess.SP2026

Theoretical Validation of the Latent Optimally Partitioned- Penalty with Application to Angular Power Spectrum Estimation

Hiroki Kuroda, Renato Luis Garrido Cavalcante, Masahiro Yukawa

This paper demonstrates that, in both theory and practice, the latent optimally partitioned (LOP)- penalty is effective for exploiting block-sparsity without knowled…

eess.SP2026

Cellular, Cell-less, and Everything in Between: A Unified Framework for Utility Region Analysis in Wireless Networks

Renato Luis Garrido Cavalcante, Tomasz Piotrowski, Slawomir Stanczak

We introduce a unified framework for analyzing utility regions of wireless networks, with a focus on signal-to-interference-plus-noise-ratio (SINR) and achievable rate regions. The…

math.OC2026

Sum-Rate Maximization via Convex Optimization Using Subgradient Projections Onto Nonlinear Spectral Radius Constraint Sets

Hiroki Kuroda, Renato Luis Garrido Cavalcante

We solve the (weighted) sum-rate maximization problem over the set of achievable rates characterized by a nonlinear spectral radius function. This set has been recently shown to be…

eess.SP2026

Beyond the Use-and-then-Forget (UatF) Bound: Fixed Point Algorithms for Statistical Max-Min Power Control

Renato Luis Garrido Cavalcante, Noor Ul Ain, Lorenzo Miretti +1

We introduce mathematical tools and fixed point algorithms for optimal statistical max-min power control in cellular and cell-less massive MIMO systems. Unlike previous studies tha…