DocumentCode :
2208149
Title :
Capacity analysis of generalized distributed antenna systems using approximation distributions
Author :
Feng, Zhihong ; Jiang, Zhanjun ; Pan, Wen ; Wang, Dongming
Author_Institution :
Sch. of Electron. & Inf. Eng., Lanzhou Jiaotong Univ., Lanzhou, China
fYear :
2008
fDate :
19-21 Nov. 2008
Firstpage :
828
Lastpage :
830
Abstract :
Compared to the central antenna system (CAS), the distributed antenna system (DAS) improves the communication performance greatly because of the macro-diversity and the micro-diversity. However, the channel between the mobile terminal and a remote access unit (RAU) in the DAS is a composite fading channel, which makes it be difficult to achieve a closed form expression in capacity analysis. In this paper, Patnaik¿s and Pearson¿s methods are employed to achieve approximation probability distribution function (PDF) of the channel, by which the ergodic capacity of the generalized DAS (GDAS) is achieved easily. Analysis and simulations show that both the two methods can achieve satisfying results of the channel capacity, which are more accurate than that of the commonly used Jensen inequality.
Keywords :
antennas; channel capacity; fading channels; probability; Jensen inequality; Patnaik method; Pearson method; approximation distributions; capacity analysis; channel capacity; closed form expression; communication performance; composite fading channel; distributed antenna systems; ergodic capacity; mobile terminal; probability distribution function; remote access unit; Base stations; Content addressable storage; Fading; Information analysis; Large-scale systems; Mobile communication; Optical fiber cables; Probability distribution; Random variables; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Systems, 2008. ICCS 2008. 11th IEEE Singapore International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-2423-8
Electronic_ISBN :
978-1-4244-2424-5
Type :
conf
DOI :
10.1109/ICCS.2008.4737301
Filename :
4737301
Link To Document :
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