DocumentCode
1782386
Title
On the optimal small cell deployment for energy-efficient heterogeneous cellular networks
Author
Gongchao Su ; Lemin Li ; Xiaohui Lin ; Hui Wang
Author_Institution
Sch. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear
2014
fDate
8-11 July 2014
Firstpage
172
Lastpage
175
Abstract
Deploying small cells has been widely accepted as a viable solution to meet ever-growing demand of user traffic in cellular heterogeneous networks (HetNets). These small cells can be deterministically or randomly deployed. In this paper we consider a HetNet scenario where multiple small cells are randomly or deterministically overlaid with a macro cell. We use the hexagonal grid model for the deterministic deployment and the Poisson point process model for the random deployment. We analyze user rate and network energy efficiencies, and our numerical results show that deterministic deployment strategy is generally better than random deployment. We evaluate the performances of macro cell and small cell users separately and find that most benefits go to small cell users, not macro cell users. Our simulation results also suggest that deterministically deploying more small cells continues to boost network energy efficiency, while randomly deploying more small cells brings little gain.
Keywords
cellular radio; energy conservation; telecommunication power management; telecommunication traffic; HetNet scenario; Poisson point process model; deterministic deployment; energy-efficient heterogeneous cellular networks; hexagonal grid model; macro cell; multiple small cells; optimal small cell deployment; user traffic demand; Base stations; Educational institutions; Energy efficiency; Interference; Numerical models; Throughput; Wireless communication; cellular heterogeneous networks(HetNets); energy effiency; stochastic geometry;
fLanguage
English
Publisher
ieee
Conference_Titel
Ubiquitous and Future Networks (ICUFN), 2014 Sixth International Conf on
Conference_Location
Shanghai
Type
conf
DOI
10.1109/ICUFN.2014.6876775
Filename
6876775
Link To Document