A survey of resource management toward 5G radio access networks
The next generation 5G radio access network (RAN) system is believed to be a true world
wide wireless web (WWWW). This is because such system will seamlessly and ubiquitously …
wide wireless web (WWWW). This is because such system will seamlessly and ubiquitously …
An overview on resource allocation techniques for multi-user MIMO systems
E Castaneda, A Silva, A Gameiro… - … Surveys & Tutorials, 2016 - ieeexplore.ieee.org
Remarkable research activities and major advances have been occurred over the past
decade in multiuser multiple-input multiple-output (MU-MIMO) systems. Several …
decade in multiuser multiple-input multiple-output (MU-MIMO) systems. Several …
Graph neural networks for scalable radio resource management: Architecture design and theoretical analysis
Deep learning has recently emerged as a disruptive technology to solve challenging radio
resource management problems in wireless networks. However, the neural network …
resource management problems in wireless networks. However, the neural network …
Massive MIMO networks: Spectral, energy, and hardware efficiency
Massive multiple-input multiple-output (MIMO) is one of the most promising technologies for
the next generation of wireless communication networks because it has the potential to …
the next generation of wireless communication networks because it has the potential to …
Multi-agent deep reinforcement learning for dynamic power allocation in wireless networks
This work demonstrates the potential of deep reinforcement learning techniques for transmit
power control in wireless networks. Existing techniques typically find near-optimal power …
power control in wireless networks. Existing techniques typically find near-optimal power …
Efficient multi-user computation offloading for mobile-edge cloud computing
Mobile-edge cloud computing is a new paradigm to provide cloud computing capabilities at
the edge of pervasive radio access networks in close proximity to mobile users. In this paper …
the edge of pervasive radio access networks in close proximity to mobile users. In this paper …
Non-orthogonal multiple access: Common myths and critical questions
Non-orthogonal multiple access (NOMA) has received tremendous attention for the design
of radio access techniques for fifth generation (5G) wireless networks and beyond. The basic …
of radio access techniques for fifth generation (5G) wireless networks and beyond. The basic …
On kernelized multi-armed bandits
We consider the stochastic bandit problem with a continuous set of arms, with the expected
reward function over the arms assumed to be fixed but unknown. We provide two new …
reward function over the arms assumed to be fixed but unknown. We provide two new …
Towards optimal power control via ensembling deep neural networks
A deep neural network (DNN) based power control method that aims at solving the non-
convex optimization problem of maximizing the sum rate of a fading multi-user interference …
convex optimization problem of maximizing the sum rate of a fading multi-user interference …
Power allocation in multi-user cellular networks: Deep reinforcement learning approaches
The model-based power allocation has been investigated for decades, but this approach
requires mathematical models to be analytically tractable and it has high computational …
requires mathematical models to be analytically tractable and it has high computational …