Channel Capacity Improvement of MIMO Communication Systems using Different Techniques
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Abstract
The modern communication systems require high data, and this rate cannot be achieved in Single input- Single out put (SISO) systems. This prosperity can be gained by improving the channel capacity using systems for Multiple Input-Multiple output (MIMO). In this paper the parameters effecting channel capacity are studied, these include (antennas numbers, antennas distribution, and Signal to Noise Ratio (SNR)) using multiplexing, diversity and beamforming techniques. The results showed that the channel capacity for multiplexing technique increased semi-linearly with antennas number when the antennas at transmitter side and receiver side are equal. While the increase in capacity became less when the antennas distribution is different. Increasing the antennas ate the receiver side gives better capacity than increasing the antennas ate the transmitter side. The multiplexing techniques give the best performance from diversity techniques and beamforming when (SNR) greater than (10 dB). While the beamforming technique gives the best performance for (SNR) less than (10 dB).
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References
Setremler FG. Introduction to communication
systems. 3rd ed., California, Addison-Wesley, USA:
Press;1991.
Alamouti SM. Asimple transmit diversity technique
for wireless communication, IEEE Journal on Select
Area in Communication 1998; 16 (8): 1451-1458. DOI: https://doi.org/10.1109/49.730453
Dangl MA, Marxmmeir U, Teich WG, Linder J.,
Performance of joint detection techniques for coded
MIMO-OFDM. Workshop: 2003, May 5-6 Paris,
France: pp. 1-6.
Woldschmidt C, Kuhnret C, Schulteis S. Analysis of
compact arrays for MIMO based on a complete RF
system model. IEEE Topical Conference on Wireless
Communication 2003, April 2-3; Hawaii, USA:
Honolulu; pp 6-11
Shin H, Lee JH. Capacity of multiple- antenna fading
channels with spatial fading, correlation, double
scattering and keyhole. IEEE Transaction on
Information 2003 10 (49):115-120. DOI: https://doi.org/10.1080/00086495.2003.11672198
Tse D, Visvanathan P. Fundamental of wireless
communications, 2nd ed. New York: John Wiley,
Press; 2004.
Tarokh V, Jafarkhani H, Calderbak AR. Space-time
block coding for wireless communications:
performance results, IEEE Journal on Selected Areas
in Communications 2006; 3 (17):415-460. DOI: https://doi.org/10.1287/orsc.1060.0198
Jafarkhani H. Space-time coding theory and practice.
rd ed., USA: Cambridge University, Press; 2005.
Shuai Z, Zhinong Y. An improved method for
estimating antenna correlation coefficient of lossy
MIMO arrays. IEEE International Conference on
Electronic Information and Communication
Technology 2013, September; 1-2, Harbin,
Heilongjiang: China.
Ezio B. MIMO waireless communication,4th ed.
Cambridge University, John Wiley & Sons, Inc:
USA; Press: 2007.
Volker V. Waireless communication over MIMO
cannels, applications to CDMA & multiple antenna
system, 2nd ed. Cambridge: John Wiley & Sons Ltd;
Moharram MA, Kishk AA. MIMO antennas
efficiency measurement using wheeler caps. IEEE
Transaction on Antennas and Propagation 2016; 3
(46):1115-1120.