A comprehensive survey of pilot contamination in massive MIMO—5G system
Massive MIMO has been recognized as a promising technology to meet the demand for
higher data capacity for mobile networks in 2020 and beyond. Although promising, each …
higher data capacity for mobile networks in 2020 and beyond. Although promising, each …
User access control in open radio access networks: A federated deep reinforcement learning approach
Targeting at implementing the next generation radio access networks (RANs) with
virtualized network components, the open RAN (O-RAN) has been regarded as a novel …
virtualized network components, the open RAN (O-RAN) has been regarded as a novel …
Deep reinforcement learning for multi-user access control in non-terrestrial networks
Non-Terrestrial Networks (NTNs) composed of space-borne (eg, satellites) and airborne
vehicles (eg, drones and blimps) have recently been proposed by 3GPP as a new paradigm …
vehicles (eg, drones and blimps) have recently been proposed by 3GPP as a new paradigm …
Federated deep reinforcement learning for user access control in open radio access networks
The Open Radio Access Network (O-RAN) introducing a particular unit known as RAN
Intelligent Controllers (RICs) has been regarded as revolutionary paradigms to support …
Intelligent Controllers (RICs) has been regarded as revolutionary paradigms to support …
Age-oriented access control in GEO/LEO heterogeneous network for marine IoRT: A deep reinforcement learning approach
With the growing interest in the smart ocean, the satellite-based marine Internet of Remote
Things (IoRT) network has been regarded as a promising architecture for sensory data …
Things (IoRT) network has been regarded as a promising architecture for sensory data …
Distributed interference management in femtocell networks
This paper considers a two-tier cellular network wherein femtocell users, who communicate
with their home-owner-deployed base stations, share the same frequency band with …
with their home-owner-deployed base stations, share the same frequency band with …
Access control and deployment design for multi-UAV assisted wireless networks
Y Liu, J Xie, C Xing, S Xie - IEEE Wireless Communications …, 2022 - ieeexplore.ieee.org
In this letter, we investigate the ground user (GU) access control and unmanned aerial
vehicle base station (UAV-BS) deployment design in a multiple UAV-BSs assisted wireless …
vehicle base station (UAV-BS) deployment design in a multiple UAV-BSs assisted wireless …
Future 6G communications powering vertical handover in non-terrestrial networks
A Warrier, L Aljaburi, H Whitworth, S Al-Rubaye… - IEEE …, 2024 - ieeexplore.ieee.org
The integration of Unmanned Aerial Vehicles (UAVs) into future 6G networks will open new
possibilities for applications ranging from surveillance to communication infrastructure …
possibilities for applications ranging from surveillance to communication infrastructure …
Deep reinforcement learning for multi-user access control in UAV networks
Unmanned Aerial Vehicles (UAVs) have recently been proposed as flying base stations,
called UAV-BSs, to provide reliable connections and extend the coverage of the existing …
called UAV-BSs, to provide reliable connections and extend the coverage of the existing …
Q-learning cell selection for femtocell networks: Single-and multi-user case
C Dhahri, T Ohtsuki - 2012 IEEE Global Communications …, 2012 - ieeexplore.ieee.org
In this paper, we focus on user-centered handover decision making in open-access non-
stationary femtocell networks. Traditionally, such handover mechanism is usually based on …
stationary femtocell networks. Traditionally, such handover mechanism is usually based on …