Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …

This paper proposes a cooperative mechanism for mitigating the performance degradation
due to non-independent and-identically-distributed (non-IID) data in collaborative machine …

The tactile internet (TI) is believed to be the prospective advancement of the internet of
things (IoT), comprising human-to-machine and machine-to-machine communication. TI …

In typical wireless cellular systems, the handover mechanism involves reassigning an
ongoing session handled by one cell into another. In order to support increased capacity …

Deep Reinforcement Learning (DRL) has recently witnessed significant advances that have
led to multiple successes in solving sequential decision-making problems in various …

In order to meet the ever-increasing traffic demand of Wireless Local Area Networks
(WLANs), channel bonding is introduced in IEEE 802.11 standards. Although channel …

Collaborative deep reinforcement learning (CDRL) algorithms in which multiple agents can
coordinate over a wireless network is a promising approach to enable future intelligent and …

In this paper, the problem of training federated learning (FL) algorithms over a realistic
wireless network is studied. In particular, in the considered model, wireless users perform an …

Traditional radio systems are strictly co-designed on the lower levels of the OSI stack for
compatibility and efficiency. Although this has enabled the success of radio communications …

Employing machine learning into 6G vehicular networks to support vehicular application
services is being widely studied and a hot topic for the latest research works in the literature …