Game-theoretic hierarchical resource allocation in ultra-dense networks
Ultra-dense networks (UDN) can increase the network coverage and improve the overall
throughput which make it a promising network technology. However, traditional resource …
throughput which make it a promising network technology. However, traditional resource …
Online geographical load balancing for mobile edge computing with energy harvesting
Mobile Edge Computing (MEC)(aka fog computing) has recently emerged to enable low-
latency and location-aware data processing at the edge of mobile networks. Since providing …
latency and location-aware data processing at the edge of mobile networks. Since providing …
Interference management scheme of ultra dense network based on clustering
W Yao, J Li, B Tan, S Hao - 2017 IEEE 2nd Information …, 2017 - ieeexplore.ieee.org
In ultra dense network, full frequency reusing between small base stations can improve
network throughput, but it leads to severe cell inter-interference. In order to reduce inter …
network throughput, but it leads to severe cell inter-interference. In order to reduce inter …
Learning on a Grassmann manifold: CSI quantization for massive MIMO systems
K Bhogi, C Saha, HS Dhillon - 2020 54th Asilomar Conference …, 2020 - ieeexplore.ieee.org
This paper focuses on the design of beamforming codebooks that maximize the average
normalized beamforming gain for any underlying channel distribution. While the existing …
normalized beamforming gain for any underlying channel distribution. While the existing …
Offloading deadline-aware task in edge computing
Edge computing is an emerging technology that provides the ability to offload tasks from
resource-limited mobile devices to edge servers. Offloading tasks effectively can reduce …
resource-limited mobile devices to edge servers. Offloading tasks effectively can reduce …
A Multi-Agent Proximal Policy Optimized Joint Mechanism in mmWave HetNets With CoMP Towards Energy Efficiency Maximization
A Lotfolahi, HW Ferng - IEEE Transactions on Green …, 2023 - ieeexplore.ieee.org
A novel cluster-based traffic offloading and user association (UA) algorithm alongside a
multi-agent deep reinforcement learning (DRL) based base station (BS) activation …
multi-agent deep reinforcement learning (DRL) based base station (BS) activation …
Resource allocation for SC-FDMA femtocell networks
B Khamidehi, M Sabbaghian - IEEE Transactions on Vehicular …, 2017 - ieeexplore.ieee.org
We consider joint subcarrier and power allocation problem for uplink femtocell networks.
The air interface is single carrier frequency division multiple access. We consider zero …
The air interface is single carrier frequency division multiple access. We consider zero …
Resource allocation-aware efficient interference management technique for ultra-dense Femto environment
W Guo, B Wang, L Zhao, IF Siddiqui - Computer Communications, 2024 - Elsevier
Addressing the challenge of severe inter-layer and intra-layer interference in densely
deployed Femtocells, we introduce an efficient resource allocation strategy centered on …
deployed Femtocells, we introduce an efficient resource allocation strategy centered on …
Check for updates On Heuristic Algorithm with Greedy Strategy for the Correlation Clustering Problem Solution
A Soldatenko, E Ibragimova - Distributed Computer and …, 2024 - books.google.com
The Correlation Clustering (CC) problem is traditionally defined as a problem of partitioning
a signed graph without specifying the number of clusters in advance. In this paper, CC …
a signed graph without specifying the number of clusters in advance. In this paper, CC …
Dynamic clustering and sleep mode strategies for small cell networks
In this paper, a novel cluster-based approach for optimizing the energy efficiency of wireless
small cell networks is proposed. A dynamic mechanism based on the spectral clustering …
small cell networks is proposed. A dynamic mechanism based on the spectral clustering …