Picture of a black hole

Strathclyde Open Access research that creates ripples...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of research papers by University of Strathclyde researchers, including by Strathclyde physicists involved in observing gravitational waves and black hole mergers as part of the Laser Interferometer Gravitational-Wave Observatory (LIGO) - but also other internationally significant research from the Department of Physics. Discover why Strathclyde's physics research is making ripples...

Strathprints also exposes world leading research from the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

Discover more...

Performance analysis of in-building FDD deployment using measured data

Gatzoulis, L. and Aragon, A. and Povey, G. and Saunders, S. (2003) Performance analysis of in-building FDD deployment using measured data. In: International Conference on 3G Mobile Communication Technologies 2003, 2003-06-25 - 2003-06-27.

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

This paper illustrates a performance analysis for indoor FDD deployments in a business environment using measured path loss data and realistic user deployments. Distributed antenna systems were used to provide the necessary coverage. The analysis involved the interface of path loss maps to a Monte Carlo type simulator. User terminals (UE) were randomly distributed within the indoor environment. Uniform user distributions as well as specific hotspots were investigated. Several mobility scenarios were employed, involving both static and mobile users. The simulation results show: (a) coverage plots with probability of coverage at each location; (b) supported capacity; (c) transmit power distributions; (d) inter-cell and intra-cell interference distributions; and (e) path loss distributions for the served UE. This type of analysis is of significant value in optimising the performance of UMTS networks, by identifying dead zones, gauging sensitivity to network parameters and assessing the impact of the mobility conditions.