As heterogeneous networks (HetNets) emerge as one of the most promising developments
toward realizing the target specifications of Long Term Evolution (LTE) and LTE-Advanced …

In this paper, a novel experienced deep reinforcement learning (deep-RL) framework is
proposed to provide model-free resource allocation for ultra reliable low latency …

An exponential increase in mobile video delivery will continue with the demand for higher
resolution, multi-view and large-scale multicast video services. Novel fifth generation (5G) …

Ultra-reliable and Low-latency Communications (URLLC) is expected to be one of the most
critical characteristics Beyond fifth-Generation (B5G) cellular networks with stringent low …

Abstract Machine-to-Machine (M2M) communication in the Long Term Evolution (LTE)
network has recently grown exponentially as the volume of connected devices has …

In this paper, a novel deep reinforcement learning (deep-RL) framework is proposed to
provide model-free ultra reliable low latency communication (URLLC) in the downlink of an …

The increasing demand for network applications, such as teleconferencing, multimedia
messaging and mobile TV, which have diverse requirements, has resulted in the …

Long Term Evolution (LTE) is one of the fastest growing technologies which supports variety
of applications like video conferencing, video streaming, VoIP, file transfer, web browsing …

The 5G standard is aimed at supporting Quality of Service (QoS)-constrained traffic types,
enabling new services to be reliably built into scenarios such as industrial automation and …

Abstract Guaranteeing Quality of Service (QoS) for heterogeneous traffic is a major
challenge in the Fourth Generation (4G) mobile networks. Therein, the absence of …