DocumentCode :
2819027
Title :
Call completion probability in heterogeneous networks with energy harvesting base stations
Author :
Wang, Craig ; Durrani, Salman ; Jing Guo ; Xiangyun Zhou
Author_Institution :
Res. Sch. of Eng., Australian Nat. Univ., Canberra, ACT, Australia
fYear :
2015
fDate :
27-29 April 2015
Firstpage :
191
Lastpage :
197
Abstract :
In this paper, we analyse the call completion probability in a two-tier heterogeneous network (HetNet), where all base stations (BSs) in each tier are powered solely by energy harvesting. Since energy harvesting BSs may need to be kept OFF and allowed to recharge, users connected to a BS that turns OFF need to be served by neighboring BSs that are ON. This hand-off of a call can impact the call performance from a users point of view. We formulate the call completion probability for HetNets by adapting the definition from traditional cellular networks. Adopting a realistic BS energy consumption model and using tools from stochastic geometry, we derive very tight upper and lower bounds on the call completion probability in the presence of Rayleigh fading, interference and energy harvesting BSs. We examine the impact of the system parameters on the completion probability. The results show that the macro BS energy harvesting parameters have the dominant impact on the call completion probability. In particular, the call completion probability is an increasing function of the macro BS battery capacity and the minimum energy level at which macro BS switches back ON. However, it is an increasing function of the macro BS energy harvesting rate only when the macro BS battery capacity and the minimum energy level at which macro BS switches back ON are large. The results can be used in network planning to ensure certain quality-of-service (QoS) to users in terms of call completion probability.
Keywords :
Rayleigh channels; cellular radio; energy harvesting; probability; Call completion probability; Rayleigh fading; base stations; call performance; energy harvesting base stations; hand-off; heterogeneous networks; macro BS battery capacity; realistic BS energy consumption model; stochastic geometry; traditional cellular networks; two-tier heterogeneous network; Base stations; Batteries; Capacity planning; Energy harvesting; Energy states; Renewable energy sources; Stochastic processes; Heterogeneous networks; call completion probability; coverage probability; energy harvesting base stations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunications (ICT), 2015 22nd International Conference on
Conference_Location :
Sydney, NSW
Type :
conf
DOI :
10.1109/ICT.2015.7124681
Filename :
7124681
Link To Document :
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