M. Mishra, Parag Aggarwal, A. Trivedi, K. K. Pattanaik
{"title":"Analytical outage performance of uplink distributed green antenna system","authors":"M. Mishra, Parag Aggarwal, A. Trivedi, K. K. Pattanaik","doi":"10.1109/WOCN.2014.6923068","DOIUrl":null,"url":null,"abstract":"With exponential growth of high data rate applications, significant energy is consumed in cellular networks to guarantee better quality of service (QoS). Therefore, energy efficient wireless communication is being paid increasing attention under the background of limited energy resource and environmental-friendly transmission behaviors. Recently, distributed antenna system (DAS) has shown great potential for reducing transmission power and outage for next generation cellular networks. Previously, most of the researches have not considered the random locations of both the mobile stations (MSs) and the DAS. In this paper, we suggest stochastic geometry based distributed green antenna system (DGAS) model to analyze the performance of the cellular system. Moreover, uplink DGAS is considered where MSs' locations are distributed according to homogenous Poisson point process (HPPP) and each MS is associated to the closest distributed green antenna (DGA). Further, the expressions for outage probability and the area spectral efficiency are derived over path loss and Rayleigh fading channel. Analytical results for the interference limited system show that as the distance between MS and DGA of interest increases, outage probability of the system increases.","PeriodicalId":149158,"journal":{"name":"2014 Eleventh International Conference on Wireless and Optical Communications Networks (WOCN)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Eleventh International Conference on Wireless and Optical Communications Networks (WOCN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WOCN.2014.6923068","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With exponential growth of high data rate applications, significant energy is consumed in cellular networks to guarantee better quality of service (QoS). Therefore, energy efficient wireless communication is being paid increasing attention under the background of limited energy resource and environmental-friendly transmission behaviors. Recently, distributed antenna system (DAS) has shown great potential for reducing transmission power and outage for next generation cellular networks. Previously, most of the researches have not considered the random locations of both the mobile stations (MSs) and the DAS. In this paper, we suggest stochastic geometry based distributed green antenna system (DGAS) model to analyze the performance of the cellular system. Moreover, uplink DGAS is considered where MSs' locations are distributed according to homogenous Poisson point process (HPPP) and each MS is associated to the closest distributed green antenna (DGA). Further, the expressions for outage probability and the area spectral efficiency are derived over path loss and Rayleigh fading channel. Analytical results for the interference limited system show that as the distance between MS and DGA of interest increases, outage probability of the system increases.