Open AccessAssessment of smart traffic handling scheme in multimode multiband cellular network
Author(s) -
Sheikh Muhammad Usman,
Lempiäinen Jukka
Publication year - 2011
Publication title -
wireless communications and mobile computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.42
H-Index - 64
eISSN - 1530-8677
pISSN - 1530-8669
DOI - 10.1002/wcm.1210
Subject(s) - umts frequency bands , computer science , umts terrestrial radio access network , base station , computer network , cellular network , interference (communication) , transmitter power output , margin (machine learning) , telecommunications link , real time computing , telecommunications , radio access network , mobile station , transmitter , channel (broadcasting) , machine learning
The aim of this paper is to analyze the impact of smart traffic handling scheme in managing the radio resources among the different layers of multimode multiband radio network. The impact of two different traffic handling schemes on loading of GSM900/1800 layers along with Universal Mobile Telecommunications System (UMTS) 900/2100 layers was observed. Interference margin is introduced in the UMTS link budget as a system parameter that will account for systems degradation. One of the targets of this massive simulation campaign was to observe the impact of smart traffic handling scheme on interference margin. Network performance was analyzed with different interference factors. Results presented in this paper show that 1–2.5 dB of interference margin can be reduced for UMTS coverage layer and that 5–22% of UMTS capacity layer utilization can be improved. Significant improvement in speech blocking probability was observed because of optimized load balancing among the layers. UMTS base station power was effectively used by restraining the speech users from using the power resources of UMTS layers. Finally, the simulation results revealed the importance of deploying UMTS900 in a multilayer network. The suggested traffic handling scheme is compact and intelligent scheme, and it is based on distance of the user from the base station and required service type. Copyright © 2011 John Wiley & Sons, Ltd.