Paper Info
Title
Performance analysis of small-cell base station with cellular and WiFi RATs
Abstract
As a multiple radio access technologies (multi-RAT) solution to treat increasing mobile traffic, small-cell base station (SBS) using integration of cellular and WiFi technology has attracted interest from academia, industry, and mobile network operators (MNOs). SBS with multi-RAT can steer their traffic between cellular and WiFi RATs by considering channel condition of each RAT. SBS with multi-RAT has different characteristics based on cellular and WiFi RAT. Performance of SBSs with cellular RAT is mainly affected by signal to interference and noise ratio (SINR) of receiver. This has been analyzed in many research studies by using a point process. However, performance of SBSs with WiFi RAT is rarely analyzed despite the different characteristic of WiFi RAT. In this paper, we introduce the analytical model to estimate performance of WiFi RAT using IEEE 802.11 distributed coordination function (DCF) technique. By using our analytical model, we estimate the number of competing and hidden nodes which mainly influence the performance of WiFi RAT. Results of our analytical model are compared with Monte Carlo simulation, and it is shown that our model can estimate the number of competing and hidden nodes in multi-RAT SBS network.
Year
DOI
Venue
2014
10.1145/2701126.2701220
IMCOM
Keywords
Field
DocType
small-cell network,design,wireless communication,network management,ieee 802.11 dcf,measurement,heterogeneous network,multi-rat,performance
Base station,Monte Carlo method,Mobile traffic,Computer science,Computer network,Communication channel,Real-time computing,Distributed coordination function,Cellular network,Interference (wave propagation),Heterogeneous network
Conference
Citations 
PageRank 
References 
1
0.38
9
Authors
5
Name
Order
Citations
PageRank
Young Min Kwon1829.39
Syed Tariq Shah2307.88
Min Young Chung345272.92
JaeSheung Shin4257.53
Ae-Soon Park58412.00