This papera 1 investigates deep reinforcement learning (DRL) based on a Recurrent Neural
Network (RNN) for Dynamic Spectrum Access (DSA) under partial observations, referred to …

We consider a two-tier urban Heterogeneous Network where small cells powered with
renewable energy are deployed in order to provide capacity extension and to offload macro …

In this paper, the trajectory optimization problem for a multi-aerial base station (ABS)
communication network is investigated. The objective is to find the trajectory of the ABSs so …

The wireless channel between gaming console and accessories eg controllers and
headsets, experiences extremely rapid variations due to abrupt head and hand movements …

This paper aims to contribute to bridge the gap between existing theoretical results in
distributed radio resource allocation policies based on equilibria in games (assuming …

High throughput wireless standards based on IEEE 802.11 n and IEEE 802.11 ac have been
developed and released within the last few years as new amendments over the …

Discounted repeated games are currently being used to model the conflicts that arise
between the nodes in a wireless network, such as distributed resource allocation …

We introduce Competing Mobile Network Game (CMNG), a stochastic game played by
cognitive radio networks that compete for dominating an open spectrum access …

In wireless sensor networks, resource-constrained nodes are expected to operate in
unattended highly dynamic environments. Hence, the need for adaptive and autonomous …

Trends like softwarization through the usage of flexible Software-defined Radio (SDR)
platforms together with the usage of Machine Learning (ML) techniques are key enablers for …