DocumentCode
45938
Title
Access Point Density and Bandwidth Partitioning in Ultra Dense Wireless Networks
Author
Stefanatos, Stelios ; Alexiou, Angeliki
Author_Institution
Dept. of Digital Syst., Univ. of Piraeus, Piraeus, Greece
Volume
62
Issue
9
fYear
2014
fDate
Sept. 2014
Firstpage
3376
Lastpage
3384
Abstract
This paper examines the impact of system parameters such as access point density and bandwidth partitioning on the performance of randomly deployed, interference-limited, dense wireless networks. While much progress has been achieved in analyzing randomly deployed networks via tools from stochastic geometry, most existing works either assume a very large user density compared to that of access points, which does not hold in a dense network, and/or consider only the user signal-to-interference-ratio as the system figure of merit, which provides only partial insight on user rate as the effect of multiple access is ignored. In this paper, the user rate distribution is obtained analytically, taking into account the effects of multiple access as well as the SIR outage. It is shown that user rate outage probability is dependent on the number of bandwidth partitions (subchannels) and the way they are utilized by the multiple access scheme. The optimal number of partitions is lower bounded for the case of large access point density. In addition, an upper bound of the minimum access point density required to provide an asymptotically small rate outage probability is provided in closed form.
Keywords
geometry; interference suppression; radio networks; stochastic processes; SIR outage; access point density; asymptotically small rate outage probability; bandwidth partitioning; signal-to-interference-ratio; stochastic geometry; ultra dense wireless networks; user rate distribution; user rate outage probability; Bandwidth; Fading; Frequency division multiaccess; Indexes; Interference; Time division multiple access; Wireless networks; Access point density; bandwidth partitioning; stochastic geometry; ultra dense wireless networks; user rate outage probability;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/TCOMM.2014.2351820
Filename
6883156
Link To Document