Novel hybrid beamformer designs are conceived for a multi-user multi-cell (MUMC)
mmWave system relying on base station (BS) coordination and total transmit power …

This paper investigates the Pareto optimality of the regular and the indefinite stochastic
cooperative linear-quadratic difference games in a finite time horizon. We derive a general …

The millimeter-wave (mmWave) massive multi-user multiple-input multiple-output (MU-
MIMO) can significantly improve the throughput and spectral efficiency by equipping multi …

This article focuses on the mean-field linear-quadratic Pareto (MF-LQP) optimal strategy
design for stochastic systems in infinite horizon, which is with the constraint when the system …

In current research, reinforcement learning (RL) is widely applied to resource management
of wireless communication networks. However, many optimization problems have high …

Dynamic frequency allocation (DFA) with massive multiple-input multiple-output (MIMO) is a
promising candidate for multicell communications where massive MIMO is adopted to …

Asynchronous distributed hybrid beamformers (ADBF) are conceived for minimizing the total
transmit power subject to signal-to-interference-plus-noise ratio (SINR) constraints at the …

Over the last several years, NOMA has moved into a technology-driven era for enriching the
downlink spectrum utilisation in a multi-user system by using superposition coding and …

Aiming at the problems of low accuracy and high loss rate when the traditional target
tracking (TT) method is applied to the TT of the moving operation of the transmission line, a …

The fifth generation (5G) networks and internet of things (IoT) promise to transform our lives
by enabling various new applications from driver-less cars to smart cities. These …