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20122026
most citedCombinatorial Bandits Revisited

118 citations · 405 across the 29 of their papers we have counts for

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Showing cs.NIShow all

7 papers · 1 filter

cs.NI2026

Exponential Backoff: Meta-Stability and Implicit Admission Control

Richard Combes, Fabien Mathieu, Thomas Bonald

We analyze exponential backoff, an algorithm used to share a single communication channel in a distributed manner between several users, in a similar way as many networking standar…

cs.NI2018

Hierarchical Beamforming: Resource Allocation, Fairness and Flow Level Performance

Julien Floquet, Richard Combes, Zwi Altman

We consider hierarchical beamforming in wireless networks. For a given population of flows, we propose computationally efficient algorithms for fair rate allocation including propo…

cs.NI2016

Multipath streaming: fundamental limits and efficient algorithms

Richard Combes, Habib Sidi, Salah-Eddine Elayoubi

We investigate streaming over multiple links. A file is split into small units called chunks that may be requested on the various links according to some policy, and received after…

cs.NI2013★ 22 cited

Distributed coordination of self-organizing mechanisms in communication networks

Abdoulaye Tall, Richard Combes, Zwi Altman +1

The fast development of the Self-Organizing Network (SON) technology in mobile networks renders the problem of coordinating SON functionalities operating simultaneously critical. S…

cs.NI2013

Optimal Rate Sampling in 802.11 Systems

Richard Combes, Alexandre Proutiere, Donggyu Yun +2

In 802.11 systems, Rate Adaptation (RA) is a fundamental mechanism allowing transmitters to adapt the coding and modulation scheme as well as the MIMO transmission mode to the radi…

cs.NI2013★ 2 cited

The association problem in wireless networks: a Policy Gradient Reinforcement Learning approach

Richard Combes, Ilham El Bouloumi, Stephane Senecal +1

The purpose of this paper is to develop a self-optimized association algorithm based on PGRL (Policy Gradient Reinforcement Learning), which is both scalable, stable and robust. Th…