Title
Energy aware network planning for wireless cellular system with renewable energy
Abstract
Powering wireless cellular system by green renewable energy cuts greenhouse gas emissions and electricity bill. However, green energy sources have the limitation of unsustainable availability and capacity. Therefore, the criteria of optimizing network planning for such system should involve both static and dynamic aspects. In this paper, the network planning scheme aims to jointly maximize cell coverage and energy sustainability, which indicate static and dynamic system performance respectively. Firstly, the energy buffer describing green energy evolution is modeled as a G/G/1 queue to investigate energy sustainability. Based on this model, the closed-form expression of service outage probability, which characterizes energy sustainability, is given. Secondly, effective coverage is introduced as a comprehensive parameter which balances cell coverage and energy sustainability. The network planning problem turns to be an effective coverage maximizing problem and solved by automatic cell management. Finally, simulation results are illustrated to validate the proposed automatic cell management.
Year
DOI
Venue
2014
10.1109/WCNC.2014.6952685
WCNC
Keywords
Field
DocType
green energy sources,dynamic system performance,unsustainable availability,energy buffer,cellular radio,green renewable energy,static system performance,g/g/1 queue,wireless cellular system,telecommunication power management,renewable energy sources,queueing theory,unsustainable capacity,electricity bill,energy aware network planning,telecommunication network management,telecommunication network planning,automatic cell management,green energy evolution,service outage probability,energy sustainability,greenhouse gas emissions,probability,effective coverage maximizing problem,cell coverage,mobile communication,g g 1 queue
Energy sustainability,Energy management,Mathematical optimization,Wireless,Renewable energy,Network planning and design,Electricity,Computer science,Simulation,Queue,Computer network,Greenhouse gas
Conference
ISSN
Citations 
PageRank 
1525-3511
0
0.34
References 
Authors
6
5
Name
Order
Citations
PageRank
Ying Xu192.51
Yuchi Zhang2204.60
Zhiyong Feng3794167.21
Qixun Zhang415728.59
zhang521025.85