scholarly journals Energy efficient ultra-dense networks (UDNs) based on joint optimisation evolutionary algorithm

2019 ◽  
Vol 13 (1) ◽  
pp. 99-107 ◽  
Author(s):  
Ahmed Abdelaziz Salem ◽  
Sayed El-Rabaie ◽  
Mona Shokair
Keyword(s):  
Evolutionary Algorithm ◽  
Energy Efficient ◽  
Dense Networks

Energy-Efficient Mobility-Aware Caching Algorithms for Clustered Small Cells in Ultra-Dense Networks

2019 ◽  
Vol 68 (7) ◽  
pp. 6833-6846 ◽  
Author(s):  
Iman Keshavarzian ◽  
Zolfa Zeinalpour-Yazdi ◽  
Aliakbar Tadaion
Keyword(s):  
Energy Efficient ◽  
Small Cells ◽  
Dense Networks

Energy efficient ultra‐dense networks based on multi‐objective optimisation framework

IET Networks ◽  
2018 ◽  
Vol 7 (6) ◽  
pp. 398-405 ◽  
Author(s):  
Ahmed Abdelaziz Salem ◽  
Sayed El‐Rabaie ◽  
Mona Shokair
Keyword(s):  
Energy Efficient ◽  
Dense Networks ◽  
Multi Objective

scholarly journals Resource Allocation for Energy Efficient User Association in User-Centric Ultra-Dense Networks Integrating NOMA and Beamforming

2020 ◽  
Author(s):  
Long Zhang ◽  
Guobin Zhang ◽  
Xiaofang Zhao ◽  
Yali Li ◽  
Chuntian Huang ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Energy Efficient ◽  
Large Scale ◽  
Mixed Integer ◽  
Joint Optimization ◽  
User Association ◽  
Dual Decomposition ◽  
Dense Networks ◽  
Wireless Backhaul ◽  
User Centric

A coupling of wireless access via non-orthogonal multiple access and wireless backhaul via beamforming is a promising way for downlink user-centric ultra-dense networks (UDNs) to improve system performance. However, ultra-dense deployment of radio access points in macrocell and user-centric view of network design in UDNs raise important concerns about resource allocation and user association, among which notably is energy efficiency (EE) balance. To overcome this challenge, we develop a framework to investigate the resource allocation problem for energy efficient user association in such a scenario. The joint optimization framework aiming at the system EE maximization is formulated as a large-scale non-convex mixed-integer nonlinear programming problem, which is NP-hard to solve directly with lower complexity. Alternatively, taking advantages of sum-of-ratios decoupling and successive convex approximation methods, we transform the original problem into a series of convex optimization subproblems. Then we solve each subproblem through Lagrangian dual decomposition, and design an iterative algorithm in a distributed way that realizes the joint optimization of power allocation, sub-channel assignment, and user association simultaneously. Simulation results demonstrate the effectiveness and practicality of our proposed framework, which achieves the rapid convergence speed and ensures a beneficial improvement of system-wide EE.<br>

scholarly journals A Cluster-Based Energy-Efficient Resource Management Scheme With QoS Requirement for Ultra-Dense Networks

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 182412-182421
Author(s):  
Yanzan Sun ◽  
Ge Guo ◽  
Shunqing Zhang ◽  
Shugong Xu ◽  
Tao Wang ◽  
...  
Keyword(s):  
Resource Management ◽  
Energy Efficient ◽  
Dense Networks ◽  
Management Scheme ◽  
Efficient Resource ◽  
Qos Requirement

Multi objective evolutionary algorithm for designing energy efficient distribution transformers

2018 ◽  
Vol 42 ◽  
pp. 109-124 ◽  
Author(s):  
S. Tamilselvi ◽  
S. Baskar ◽  
L. Anandapadmanaban ◽  
V. Karthikeyan ◽  
S. Rajasekar
Keyword(s):  
Evolutionary Algorithm ◽  
Energy Efficient ◽  
Multi Objective ◽  
Distribution Transformers ◽  
Efficient Distribution

scholarly journals A Cluster-Based Energy-Efficient Resource Management Scheme for Ultra-Dense Networks

IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 6823-6832 ◽  
Author(s):  
Liang Liang ◽  
Wen Wang ◽  
Yunjian Jia ◽  
Shu Fu
Keyword(s):  
Resource Management ◽  
Energy Efficient ◽  
Dense Networks ◽  
Management Scheme ◽  
Efficient Resource
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