TY - JOUR
T1 - Towards energy efficient and quality of service aware cell zooming in 5G wireless networks
AU - Lateef, Hafiz Yasar
AU - Shakir, Muhammad Zeeshan
AU - Ismail, Muhammad
AU - Mohamed, Amr
AU - Qaraqe, Khalid
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015
Y1 - 2015
N2 - This paper presents an energy efficient and quality of service aware dynamic cell zooming algorithm for dense heterogeneous networks. The exponential growth of mobile data traffic would lead to dense deployment of small base stations and eventually higher energy consumption in Fifth Generation (5G) wireless networks. We formulate a dynamic cell zooming and base stations sleep optimization algorithm for dense heterogeneous networks as a Linear Programming (LP) problem in order to not only minimize the system power consumption but also to guarantee the quality of service to end user. This is possible by optimally zooming the coverage area of macro base stations and small cells based upon real time traffic conditions. We characterize the optimal as well as provide an approximate solution, which, however, performs very closely to the optimum. The extensive performance evaluation of our proposed dynamic cell zooming algorithm shows that our proposed algorithm can significantly decrease both system energy consumption and outage probability.
AB - This paper presents an energy efficient and quality of service aware dynamic cell zooming algorithm for dense heterogeneous networks. The exponential growth of mobile data traffic would lead to dense deployment of small base stations and eventually higher energy consumption in Fifth Generation (5G) wireless networks. We formulate a dynamic cell zooming and base stations sleep optimization algorithm for dense heterogeneous networks as a Linear Programming (LP) problem in order to not only minimize the system power consumption but also to guarantee the quality of service to end user. This is possible by optimally zooming the coverage area of macro base stations and small cells based upon real time traffic conditions. We characterize the optimal as well as provide an approximate solution, which, however, performs very closely to the optimum. The extensive performance evaluation of our proposed dynamic cell zooming algorithm shows that our proposed algorithm can significantly decrease both system energy consumption and outage probability.
KW - 5G
KW - Dense heterogeneous networks
KW - Energy efficiency
KW - Green cellular networks
KW - LTE-Advanced
UR - http://www.scopus.com/inward/record.url?scp=84964466885&partnerID=8YFLogxK
U2 - 10.1109/VTCFall.2015.7391181
DO - 10.1109/VTCFall.2015.7391181
M3 - Conference article
AN - SCOPUS:84964466885
SN - 0740-0551
JO - IEEE Vehicular Technology Conference
JF - IEEE Vehicular Technology Conference
M1 - 7391181
T2 - 82nd IEEE Vehicular Technology Conference, VTC Fall 2015
Y2 - 6 September 2015 through 9 September 2015
ER -