By Topic

Algorithms for MUOS Capacity Analysis

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

5 Author(s)
Marshall, J. ; The MITRE Corporation, McLean, VA ; Hazelton, Lyman ; Pal, Parimal ; Kullstam, P.
more authors

The Mobile User Objective System (MUOS) for satellite communications (SATCOM) is being developed to provide important beyond line-of-sight (BLOS) communications for tactical military users. There is a keen interest in the MUOS data rate capacity as it relates to the available system bandwidth. A set of wide-band code-division multiple access (WCDMA) waveforms will be used to share bandwidth among users and so multiple access interference (MAI) must be considered in evaluating system capacity. In addition, frequency reuse is accomplished based on the employment of multiple satellite beams. While this improves the system capacity, it complicates the supportability analysis because adjacent beam interference can increase the MAI and, as a result, can impact system capacity. The purpose of this paper is to develop algorithms that determine supportability for a given set of links in the MUOS system. These algorithms will be useful in determining system capacity for heterogeneous sets of links. The algorithms take into account the MAI impact of other beams using the same carrier from the same and adjacent satellites. Furthermore, these algorithms have been designed to significantly reduce the dimensionality of the problem and, hence, ease the computational burden required for link supportability calculations. An example capacity calculation is shown for a homogeneous set of users.

Published in:

Military Communications Conference, 2007. MILCOM 2007. IEEE

Date of Conference:

29-31 Oct. 2007