Ultra-dense networks (UDN) can increase the network coverage and improve the overall
throughput which make it a promising network technology. However, traditional resource …

Mobile Edge Computing (MEC)(aka fog computing) has recently emerged to enable low-
latency and location-aware data processing at the edge of mobile networks. Since providing …

In ultra dense network, full frequency reusing between small base stations can improve
network throughput, but it leads to severe cell inter-interference. In order to reduce inter …

This paper focuses on the design of beamforming codebooks that maximize the average
normalized beamforming gain for any underlying channel distribution. While the existing …

Edge computing is an emerging technology that provides the ability to offload tasks from
resource-limited mobile devices to edge servers. Offloading tasks effectively can reduce …

A novel cluster-based traffic offloading and user association (UA) algorithm alongside a
multi-agent deep reinforcement learning (DRL) based base station (BS) activation …

We consider joint subcarrier and power allocation problem for uplink femtocell networks.
The air interface is single carrier frequency division multiple access. We consider zero …

Addressing the challenge of severe inter-layer and intra-layer interference in densely
deployed Femtocells, we introduce an efficient resource allocation strategy centered on …

In this paper, a novel cluster-based approach for optimizing the energy efficiency of wireless
small cell networks is proposed. A dynamic mechanism based on the spectral clustering …

Due to the random deployment and the decreasing coverage of numerous base stations
(BSs), the interference, including co-tier interference and cross-tier interference, is …