IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Capacity Estimation of OFDMA-Based Wireless Cellular Networks

Capacity Estimation of OFDMA-Based Wireless Cellular Networks
View Sample PDF
Author(s): André Carlos Guedes de Caralho Reis (Universidade de Brasília, Brazil)and Paulo Roberto de Lira Gondim (Universidade de Brasília, Brazil)
Copyright: 2010
Pages: 18
Source title: Fourth-Generation Wireless Networks: Applications and Innovations
Source Author(s)/Editor(s): Sasan Adibi (University of Waterloo, Canada), Amin Mobasher (Research in Motion (RIM), Ltd., Canada)and Mostafa Tofighbakhsh (AT&T Labs, USA)
DOI: 10.4018/978-1-61520-674-2.ch029

Purchase

View Capacity Estimation of OFDMA-Based Wireless Cellular Networks on the publisher's website for pricing and purchasing information.

Abstract

The usage of wireless cellular network architecture increases the capacity of a wireless system, by combining cells into clusters in which channels are uniquely assigned per cell and reusing such clusters throughout the network. Unfortunately, a cellular network system may become interference limited regarding its capacity instead of noise/range limited due to intensive resources reuse like time, frequency and space. Using as input the physical layer parameters and deployment scenario, an analytical approach is proposed for capacity estimation of networks based on Orthogonal Frequency Division Multiple Access (OFDMA) technology whose subchannels are composed of distributed subcarriers. This innovative approach is based on a new analytical method for SINR calculation based on a proposed subcarrier collision probability model. The usage of such method is exemplified for a single-hop sectorized Mobile WiMAX cellular network and the results are validated against published works.

Related Content

J. Mangaiyarkkarasi, J. Shanthalakshmi Revathy. © 2024. 34 pages.
Gummadi Surya Prakash, W. Chandra, Shilpa Mehta, Rupesh Kumar. © 2024. 22 pages.
Duygu Nazan Gençoğlan. © 2024. 35 pages.
Smrity Dwivedi. © 2024. 20 pages.
Pallavi Sapkale, Shilpa Mehta. © 2024. 21 pages.
Pardhu Thottempudi, Vijay Kumar. © 2024. 43 pages.
Sathish Kumar Danasegaran, Elizabeth Caroline Britto, S. Dhanasekaran, G. Rajalakshmi, S. Lalithakumari, A. Sivasangari, G. Sathish Kumar. © 2024. 18 pages.
Body Bottom