30 citations · 61 across the 16 of their papers we have counts for
17 papers
Optimizing Wireless Discontinuous Reception via MAC Signaling Learning
Adriano Pastore, Adrián Agustín de Dios, Álvaro Valcarce
We present a Reinforcement Learning (RL) approach to the problem of controlling the Discontinuous Reception (DRX) policy from a Base Transceiver Station (BTS) in a cellular network…
A Weighted Autoencoder-Based Approach to Downlink NOMA Constellation Design
Vukan Ninkovic, Dejan Vukobratovic, Adriano Pastore +1
End-to-end design of communication systems using deep autoencoders (AEs) is gaining attention due to its flexibility and excellent performance. Besides single-user transmission, AE…
A Proof of the Weak Simplex Conjecture
Adriano Pastore
We solve a long-standing open problem about the optimal codebook structure of codes in -dimensional Euclidean space that consist of codewords subject to a codeword energy…
Learning Random Access Schemes for Massive Machine-Type Communication with MARL
Muhammad Awais Jadoon, Adriano Pastore, Monica Navarro +1
In this paper, we explore various multi-agent reinforcement learning (MARL) techniques to design grant-free random access (RA) schemes for low-complexity, low-power battery operate…
Beam Aware Stochastic Multihop Routing for Flying Ad-hoc Networks
Anay Ajit Deshpande, Roberto Pereira, Federico Chiariotti +3
Routing is a crucial component in the design of Flying Ad-Hoc Networks (FANETs). State of the art routing solutions exploit the position of Unmanned Aerial Vehicles (UAVs) and thei…
Collision Resolution with Deep Reinforcement Learning for Random Access in Machine-Type Communication
Muhammad Awais Jadoon, Adriano Pastore, Monica Navarro
Grant-free random access (RA) techniques are suitable for machine-type communication (MTC) networks but they need to be adaptive to the MTC traffic, which is different from the hum…