Multiobjective load balancing for multiband downlink cellular networks: A meta-reinforcement learning approach
Load balancing has become a key technique to handle the increasing traffic demand and
improve the user experience. It evenly distributes the traffic across network resources by …
improve the user experience. It evenly distributes the traffic across network resources by …
Load balancing for 5G ultra-dense networks using device-to-device communications
Load balancing is an effective approach to address the spatial-temporal fluctuation problem
of mobile data traffic for cellular networks. The existing schemes that focus on channel …
of mobile data traffic for cellular networks. The existing schemes that focus on channel …
Spectral efficiency analysis for massive MIMO system under QoS constraint: an effective capacity perspective
L Chen, L Zhang - Mobile Networks and Applications, 2021 - Springer
In massive multiple-input multiple-output (MIMO) systems, dozens of mobile users can
simultaneously receive signals from one base station. To obtain maximum spectral efficiency …
simultaneously receive signals from one base station. To obtain maximum spectral efficiency …
Incentivizing device-to-device load balancing for cellular networks: An online auction design
The device-to-device load balancing (D2D-LB) paradigm has been advocated in recent
small-cell architecture design for cellular networks. The idea is to exploit inter-cell D2D …
small-cell architecture design for cellular networks. The idea is to exploit inter-cell D2D …
Vehicle-centric network association in heterogeneous vehicle-to-vehicle networks
Safe and reliable operation of future autonomous vehicles requires ultra-low latency vehicle-
to-vehicle (V2V) networking. However, due to scalability issues of purely ad hoc network …
to-vehicle (V2V) networking. However, due to scalability issues of purely ad hoc network …
A relay-aided device-to-device-based load balancing scheme for multitier heterogeneous networks
As a key feature of the next generation wireless networks (5G), heterogeneous networks
(HetNets) architecture is embraced as the fundamental network technology to meet the …
(HetNets) architecture is embraced as the fundamental network technology to meet the …
Joint Deep Reinforcement Learning and Unsupervised Learning for Channel Selection and Power Control in D2D Networks
M Sun, Y Jin, S Wang, E Mei - Entropy, 2022 - mdpi.com
Device-to-device (D2D) technology enables direct communication between devices, which
can effectively solve the problem of insufficient spectrum resources in 5G communication …
can effectively solve the problem of insufficient spectrum resources in 5G communication …
Analysis of opportunistic relaying and load balancing gains through V2V clustering
Recent advances in digitization, artificial intelligence, and wireless networking are
revolutionizing the traditional transportation networks and the automotive industry, leading …
revolutionizing the traditional transportation networks and the automotive industry, leading …
Reducing cellular signaling traffic for heartbeat messages via energy-efficient D2D forwarding
Mobile Instant Messaging (IM) apps, such as WhatsApp and WeChat, frequently send
heartbeat messages to remote servers to maintain always-online status. Periodic heartbeat …
heartbeat messages to remote servers to maintain always-online status. Periodic heartbeat …
Enhancing cellular performance via vehicular-based opportunistic relaying and load balancing
The automotive industry is undergoing disruptive changes, eg, ride sharing and self-driving
cars which, in addition to leveraging wireless connectivity, may lead to dramatic changes in …
cars which, in addition to leveraging wireless connectivity, may lead to dramatic changes in …