{"title":"Capacity and power control in spread spectrum macro-diversity radio networks revisited","authors":"V. Rodriguez, R. Mathar, A. Schmeink","doi":"10.1109/ATNAC.2008.4783335","DOIUrl":null,"url":null,"abstract":"Macro-diversity - all base stations decode cooperatively each received signal - can mitigate shadow fading, and increase the capacity of a spread-spectrum communication network. Assuming that a terminal's transmission power contributes to its own interference, the literature determines whether a vector of quality-of-service targets is feasible through a simple formula, which is insensitive to the terminals' channel gains. Herein, through Banach' contraction-mapping principle - and without the self-interference approximation - a new low-complexity capacity formula is derived. Through its dependence on relative channel gains, the new formula adapts itself in a sensible manner to special conditions, such as when most terminals can only be heard by a subset of the receivers. Under such conditions, the original may significantly overestimate capacity.","PeriodicalId":143803,"journal":{"name":"2008 Australasian Telecommunication Networks and Applications Conference","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Australasian Telecommunication Networks and Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATNAC.2008.4783335","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Macro-diversity - all base stations decode cooperatively each received signal - can mitigate shadow fading, and increase the capacity of a spread-spectrum communication network. Assuming that a terminal's transmission power contributes to its own interference, the literature determines whether a vector of quality-of-service targets is feasible through a simple formula, which is insensitive to the terminals' channel gains. Herein, through Banach' contraction-mapping principle - and without the self-interference approximation - a new low-complexity capacity formula is derived. Through its dependence on relative channel gains, the new formula adapts itself in a sensible manner to special conditions, such as when most terminals can only be heard by a subset of the receivers. Under such conditions, the original may significantly overestimate capacity.