17 citations · 19 across the 8 of their papers we have counts for
10 papers · 1 filter
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 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…
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…
Deep Reinforcement Learning for Random Access in Machine-Type Communication
Muhammad Awais Jadoon, Adriano Pastore, Monica Navarro +1
Random access (RA) schemes are a topic of high interest in machine-type communication (MTC). In RA protocols, backoff techniques such as exponential backoff (EB) are used to stabil…
A Unified Discretization Approach to Compute-Forward: From Discrete to Continuous Inputs
Adriano Pastore, Sung Hoon Lim, Chen Feng +2
Compute-forward is a coding technique that enables receiver(s) in a network to directly decode one or more linear combinations of the transmitted codewords. Initial efforts focused…
Non-Coherent Rate Splitting for the MISO BC with Magnitude CSIT
Carlos Mosquera, Tomás Ramírez, Màrius Caus +2
A rate splitting based scheme is proposed to operate a broadcast setting with two antennas at the transmit side and two single-antenna receiving terminals. The transmitter knows th…