Kanakis, Triantafyllos and Rapajic, Predrag B. (2008) Radio propagation modeling for capacity optimization in wireless relay MIMO systems with partial CSI. In: 2008 IEEE 10th International symposium on spread spectrum techniques and applications. IEEE Conference Publications . Institute of Electrical and Electronics Engineers, Inc., Piscataway, NJ, USA, pp. 211-215. ISBN 9781424422036 (doi:https://doi.org/10.1109/ISSSTA.2008.44)

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Abstract

The enormous growth of wireless communication systems makes it important to evaluate the capacity of such channels. Multiple Input Multiple Output (MIMO) wireless communication systems are shown to yield significant performance improvement to data rates when compared to the traditional Single Input Single Output (SISO) wireless systems. The benefits of multiple antenna elements at the transmitter and receiver have become necessary to the research and the development of the next generation of mobile communication systems. In this paper we propose the use of Relaying MIMO wireless communication systems for use over long throughput. We investigate how Relays can be used in a "demodulate-and-forward" operation when the transmitter is equipped with spatially correlated multiple antenna elements and the receiver has only partial knowledge of the statistics of the channel. We show that Relays between the source and destination nodes of a wireless communication system in MIMO configuration improve the throughput of the system when compared to the typical MIMO systems, or achieve the desired channel capacity with significantly lower power resources needed.

Item Type:	Conference Proceedings
Title of Proceedings:	2008 IEEE 10th International symposium on spread spectrum techniques and applications
Additional Information:	[1] This paper was first presented at the 2008 IEEE 10th International Symposium on Spread Spectrum Techniques and Applications (ISSSTA2008), held from 25-28 August 2008, in Bologna, Italy. [2] First published online: 05 September 2008
Uncontrolled Keywords:	capacity optimizations, data rates, destination nodes, mimo configurations, MIMO wireless communication systems, mobile communication systems, multiple antennas, partial knowledges, performance improvements, power resources, radio propagation modeling, single input single outputs, spatially correlated, transmitter and receivers, wireless communication systems, wireless relays, wireless systems
Subjects:	T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Pre-2014 Departments:	School of Engineering School of Engineering > Department of Computer & Communications Engineering
Related URLs:	Publisher Organisation
Last Modified:	27 Jan 2020 15:45
URI:	http://gala.gre.ac.uk/id/eprint/2662

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