In this paper, the downlink packet scheduling problem for cellular networks is modeled,
which jointly optimizes throughput, fairness and packet drop rate. Two genie-aided heuristic …

There is a growing interest in applying deep reinforcement learning (DRL) methods to
optimizing the operation of wireless networks. In this paper, we compare three state of the art …

Unmanned-aerial-vehicle (UAV)-assisted communications has attracted increasing attention
recently. This article investigates air–ground coordinated communications system, in which …

In this article, a multiunmanned aerial vehicle-mobile-edge computing (UAV-MEC) network
is proposed for mobile devices (MDs) located far from a terrestrial base station (BS)-MEC. In …

Congestion in dense traffic networks is a prominent obstacle towards realizing the
performance requirements of 5G new radio. Since traditional adaptive traffic signal control …

In this paper, we study the communication-oriented unmanned air vehicle (UAV) placement
issue in a typical manned-and-unmanned (MUM) airborne network. The MUM network …

Influenced by the randomnesses in the realistic vehicle-to-infrastructure (V2I) scenarios,
traditional deterministic optimization algorithms cannot be adopted directly to promote …

Distributed base station deployment, limited server resources and dynamically changing
end users in mobile edge networks make the design of computing offloading schemes …

Integrating the terrestrial network with non-terrestrial networks to provide radio access as
anticipated in the beyond 5G networks calls for efficient user association and resource …

How to extend the coverage area is vital for the six-generation mobile communication
system (6G). In this letter, we consider a three-tier air-and-ground cooperative network …