Cloud radio access network: Virtualizing wireless access for dense heterogeneous systems
Cloud radio access network (C-RAN) refers to the visualization of base station functionalities
by means of cloud computing. This results in a novel cellular architecture in which low-cost …
by means of cloud computing. This results in a novel cellular architecture in which low-cost …
Graph-based resource allocation for integrated space and terrestrial communications
Resource allocation (RA) has always had a prominent place in wireless communications
research due to its significance for network throughput maximization, and its inherent …
research due to its significance for network throughput maximization, and its inherent …
QoE driven decentralized spectrum sharing in 5G networks: Potential game approach
This paper studies spectrum sharing for providing better quality of experience in 5G
networks, which are characterized by multidimensional heterogeneity in terms of spectrum …
networks, which are characterized by multidimensional heterogeneity in terms of spectrum …
Power allocation in multi-cell networks using deep reinforcement learning
In this paper, multi-cell power allocation approach is researched. Different from the
traditional optimization decomposition method, Deep Reinforcement Learning (DRL) …
traditional optimization decomposition method, Deep Reinforcement Learning (DRL) …
Maximizing fairness for resource allocation in heterogeneous 5G networks
In this article, we first formulate the joint resource allocation, interference minimization, user-
level, and cell-level fairness for maximum resource reuse in 5G heterogeneous small cell …
level, and cell-level fairness for maximum resource reuse in 5G heterogeneous small cell …
An interference-oriented 5G radio resource allocation framework for ultradense networks
T Peng, Y Guo, Y Wang, G Chen… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
To cope with the explosive growth in demands of wireless network, ultradense network
(UDN) technology is widely adopted, which could increase the capacity of wireless network …
(UDN) technology is widely adopted, which could increase the capacity of wireless network …
Optimal decomposition for large-scale infrastructure-based wireless networks
The fundamental idea of network decomposition is to break a large-scale network into
smaller parts such that the subnetworks can operate in parallel, each with a much lower …
smaller parts such that the subnetworks can operate in parallel, each with a much lower …
Load-aware dynamic spectrum access for small-cell networks: A graphical game approach
In this paper, we investigate the problem of dynamic spectrum access for small-cell networks
using a graphical game approach. Compared with existing studies, we take the features of …
using a graphical game approach. Compared with existing studies, we take the features of …
A graph-based QoS-aware resource management scheme for OFDMA femtocell networks
Recently, femtocells are expected to be densely deployed to meet the booming demands for
wireless data traffic, which inevitably causes serious co-layer interference due to the …
wireless data traffic, which inevitably causes serious co-layer interference due to the …
Resource allocation to maximize fairness and minimize interference for maximum spectrum reuse in 5G cellular networks
The large number of internet-connected devices will continue to drive growth in data traffic in
an exponential way, forcing network operators to increase the capacity of wireless networks …
an exponential way, forcing network operators to increase the capacity of wireless networks …