Novel Adaptive Cooperative-MIMO for LTE Technology
|Sukhreet Kaur1 , Amita Soni2|
Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-6 , Page no. 18-26, Jun-2018
Online published on Jun 30, 2018
Copyright © Sukhreet Kaur, Amita Soni . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: Sukhreet Kaur, Amita Soni, “Novel Adaptive Cooperative-MIMO for LTE Technology”, International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.18-26, 2018.
MLA Style Citation: Sukhreet Kaur, Amita Soni "Novel Adaptive Cooperative-MIMO for LTE Technology." International Journal of Computer Sciences and Engineering 6.6 (2018): 18-26.
APA Style Citation: Sukhreet Kaur, Amita Soni, (2018). Novel Adaptive Cooperative-MIMO for LTE Technology. International Journal of Computer Sciences and Engineering, 6(6), 18-26.
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|Multiple Input Multiple Output (MIMO) systems have been widely used in an area of wireless cellular communication system, providing the both increased capacity and reliability. However, the use of multiple antennas in mobile terminals may not be very practical due to limited space and other implementation issues. In this paper, cooperative MIMO has been used in a way to optimise the implementation and working of conventional MIMO systems in terms of BER and Spectral Efficiency while maintaining a minimal number of antennas on each handset. Cooperative MIMO with V-BLAST transmission over Rayleigh ﬂat fading channels and amplify and forward protocol with one relay node for modulation techniques like BPSK, QPSK, QAM using various decoding techniques has been analysed. Decoding algorithms like ZF, MMSE and ML have been analysed with respect to their BER performances. Since, there is throughput loss in cooperative MIMO due to extra resources required for relaying, adaptive modulation has been used with C-MIMO to meet the demands for high data rates in Long Term Evolution Network.|
|Key-Words / Index Term :|
|Amplify and Forward (AF), MRC (Maximal Ratio Combining), V-BLAST (Vertical Bell Laboratories Layered Space-Time), Zero Forcing (ZF), Minimum Mean Square Error (MMSE), Maximum Likelihood (ML), BER, Spectral Efficiency (SE), BPSK, QPSK|
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