Abstract
Energy-efficient green solutions are not only beneficial for the environment but also help to reduce the energy expenditure of the investors. Since base stations (BSs) of wireless cellular access networks are deployed to accommodate the peak-time traffic, they are underutilized most of the time. In this work, we try to save energy by both turning BSs on/off and adaptively adjusting their transmission power according to the current traffic conditions. To achieve that goal, we formulate a novel nonlinear programming model for the green dynamic BS planning (GDBP) problem to find the best possible topology which minimizes the energy consumption of the network while satisfying a certain grade of service (GoS). We derive a greedy heuristic called FastWISE to solve the formulated problem and compare our results with the results of a noncommercial optimization tool and numerous Monte Carlo experiments. It is shown that our GDBP scheme adaptively adjusts the network topology to the current traffic load and saves significant amount of energy without violating the GoS constraints, such as the probability of blocking and the coverage ratio.
Highlights
Along with recent increases in the energy prices, telecommunication operators started to become highly interested in energy-efficient operation
6 Conclusions In this work, we focus on saving energy by both turning base stations (BSs) on/off and adaptively adjusting their transmission power according to the current traffic conditions
It is shown that our green dynamic BS planning scheme adaptively adjusts to the current traffic load and saves significant amount of energy without violating the grade of service (GoS) constraints such as the probability of blocking and the coverage ratio
Summary
Along with recent increases in the energy prices, telecommunication operators started to become highly interested in energy-efficient operation. We focus on saving energy by adaptively turning the BSs of wireless cellular access networks on and off according to the current traffic conditions. Kokkinogenis et al [18] assume a cellular network consisting of micro and macro BSs where micro BSs have the ability of being switched on/off while macro BSs can iteratively adjust their transmission power until the required QoS is achieved They propose a static centralized, a dynamic distributed, and a hybrid topology management schemes to reduce the overall energy consumption of the network while satisfying certain QoS requirements. FastWISE tries to use BSs with higher transmission power levels without violating the capacity constraints in order to give energy-saving opportunities to neighboring BSs. a preliminary coverage is provided at the end of this phase.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: EURASIP Journal on Wireless Communications and Networking
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
