most citedA Lightweight Transmission Parameter Selection Scheme Using Reinforcement Learning for LoRaWAN

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2023

Tuning Quantum Computing Privacy through Quantum Error Correction

Hui Zhong, Keyi Ju, Manojna Sistla +4

Quantum computing is a promising paradigm for efficiently solving large and high-complexity problems. To protect quantum computing privacy, pioneering research efforts proposed to…

cs.IT2022★ 1 cited

High-Speed Resource Allocation Algorithm Using a Coherent Ising Machine for NOMA Systems

Teppei Otsuka, Aohan Li, Hiroki Takesue +3

Non-orthogonal multiple access (NOMA) technique is important for achieving a high data rate in next-generation wireless communications. A key challenge to fully utilizing the effec…

cs.DS2022

Pairing optimization via statistics: Algebraic structure in pairing problems and its application to performance enhancement

Naoki Fujita, André Röhm, Takatomo Mihana +4

Fully pairing all elements of a set while attempting to maximize the total benefit is a combinatorically difficult problem. Such pairing problems naturally appear in various situat…

cs.LG2022★ 3 cited

A Lightweight Transmission Parameter Selection Scheme Using Reinforcement Learning for LoRaWAN

Aohan Li, Ikumi Urabe, Minoru Fujisawa +4

The number of IoT devices is predicted to reach 125 billion by 2023. The growth of IoT devices will intensify the collisions between devices, degrading communication performance. S…

cs.DS2022

Efficient Pairing in Unknown Environments: Minimal Observations and TSP-based Optimization

Naoki Fujita, Nicolas Chauvet, Andre Roehm +4

Generating paired sequences with maximal compatibility from a given set is one of the most important challenges in various applications, including information and communication tec…