TY - JOUR
T1 - On balancing energy efficiency for network operators and mobile users in dynamic planning
AU - Ismail, Muhammad
AU - Kashef, Mohamed
AU - Serpedin, Erchin
AU - Qaraqe, Khalid
N1 - Publisher Copyright:
© 1979-2012 IEEE.
PY - 2015/11/1
Y1 - 2015/11/1
N2 - The high energy consumption of network operators and mobile users has raised environmental, financial, and quality-of-experience concerns. These concerns have renewed the research efforts in developing green communication strategies for energy efficient wireless network operation. Network operators employ dynamic planning to save energy at low call traffic load by switching off some of their base stations (BSS), and mobile users are served by the remaining active BSS. The existing research investigates energy efficiency of dynamic planning approaches only from the network operator perspective. Dynamic planning, if not carefully designed, can lead to higher energy consumption for the mobile users in the uplink, which in turn degrades the uplink service quality due to mobile terminals' battery depletion. In this article we propose a dynamic planning framework with balanced energy efficiency that accounts for the energy consumption of the mobile users in the uplink as well as that of the network operators in the downlink. We discuss the associated challenges and implementation issues. A dynamic planning approach based on a multi-time scale decision process is proposed to achieve the balanced energy efficiency framework. Numerical results demonstrate the improved energy efficiency performance for the uplink mobile users as compared with the traditional dynamic planning approach.
AB - The high energy consumption of network operators and mobile users has raised environmental, financial, and quality-of-experience concerns. These concerns have renewed the research efforts in developing green communication strategies for energy efficient wireless network operation. Network operators employ dynamic planning to save energy at low call traffic load by switching off some of their base stations (BSS), and mobile users are served by the remaining active BSS. The existing research investigates energy efficiency of dynamic planning approaches only from the network operator perspective. Dynamic planning, if not carefully designed, can lead to higher energy consumption for the mobile users in the uplink, which in turn degrades the uplink service quality due to mobile terminals' battery depletion. In this article we propose a dynamic planning framework with balanced energy efficiency that accounts for the energy consumption of the mobile users in the uplink as well as that of the network operators in the downlink. We discuss the associated challenges and implementation issues. A dynamic planning approach based on a multi-time scale decision process is proposed to achieve the balanced energy efficiency framework. Numerical results demonstrate the improved energy efficiency performance for the uplink mobile users as compared with the traditional dynamic planning approach.
UR - https://www.scopus.com/pages/publications/84947251609
U2 - 10.1109/MCOM.2015.7321986
DO - 10.1109/MCOM.2015.7321986
M3 - Article
AN - SCOPUS:84947251609
SN - 0163-6804
VL - 53
SP - 158
EP - 165
JO - IEEE Communications Magazine
JF - IEEE Communications Magazine
IS - 11
M1 - 7321986
ER -