Cart (Loading....) | Create Account
Close category search window
 

Capacity analysis of generalized distributed antenna systems using approximation distributions

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Zhihong Feng ; Sch. of Electron. & Inf. Eng., Lanzhou Jiaotong Univ., Lanzhou, China ; Zhanjun Jiang ; Wen Pan ; Dongming Wang

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.

Published in:

Communication Systems, 2008. ICCS 2008. 11th IEEE Singapore International Conference on

Date of Conference:

19-21 Nov. 2008

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.