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Channel capacity of next generation large scale MIMO systems
Author(s): A. Alshammari; S. Albdran; M. Matin
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Paper Abstract

Information rate that can be transferred over a given bandwidth is limited by the information theory. Capacity depends on many factors such as the signal to noise ratio (SNR), channel state information (CSI) and the spatial correlation in the propagation environment. It is very important to increase spectral efficiency in order to meet the growing demand for wireless services. Thus, Multiple input multiple output (MIMO) technology has been developed and applied in most of the wireless standards and it has been very successful in increasing capacity and reliability. As the demand is still increasing, attention now is shifting towards large scale multiple input multiple output (MIMO) which has a potential of bringing orders of magnitude of improvement in spectral and energy efficiency. It has been shown that users channels decorrelate after increasing the number of antennas. As a result, inter-user interference can be avoided since energy can be focused on precise directions. This paper investigates the limits of channel capacity for large scale MIMO. We study the relation between spectral efficiency and the number of antenna N. We use time division duplex (TDD) system in order to obtain CSI using training sequence in the uplink. The same CSI is used for the downlink because the channel is reciprocal. Spectral efficiency is measured for channel model that account for small scale fading while ignoring the effect of large scale fading. It is shown the spectral efficiency can be improved significantly when compared to single antenna systems in ideal circumstances.

Paper Details

Date Published: 14 September 2016
PDF: 7 pages
Proc. SPIE 9970, Optics and Photonics for Information Processing X, 99701F (14 September 2016); doi: 10.1117/12.2237461
Show Author Affiliations
A. Alshammari, Daniel Felix Ritchie School Of Engineering and Computer Science (United States)
S. Albdran, Daniel Felix Ritchie School Of Engineering and Computer Science (United States)
M. Matin, Daniel Felix Ritchie School Of Engineering and Computer Science (United States)


Published in SPIE Proceedings Vol. 9970:
Optics and Photonics for Information Processing X
Khan M. Iftekharuddin; Abdul A. S. Awwal; Mireya García Vázquez; Mohammad A. Matin, Editor(s)

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