Performance Analysis of Massive Mimo Receiver Using Svd Based Mmse-Pic Detection
M. Kasiselvanathan1, N. Sathish Kumar2, S.P.Vimal3
1M.Kasiselvanathan, Assistant Professor, Department of ECE, Sri Ramakrishna Engineering College, Coimbatore (Tamil Nadu), India.
2Dr. N. Sathish Kumar, Professor, Department of ECE, Sri Ramakrishna Engineering College, Coimbatore (Tamil Nadu), India.
3Dr. S.P. Vimal, Associate Professor, Department of ECE, Sri Ramakrishna Engineering College, Coimbatore (Tamil Nadu), India.
Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 59-60 | Volume-8 Issue-5, June 2019 | Retrieval Number: D6486048419/19©BEIESP
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Abstract: Multiple Input and Multiple Output (MIMO) systems have been introduced to increase the wireless network capacity and spectral efficiency. MIMO system is used to provide ergodic capacity, which linearly grows with the minimum number of transmitter and receiver antennas. In this paper, Minimum Mean Square Error- Parallel Interference Cancellation (MMSE-PIC) detection method is introduced which reduces the block of data be using matrix inversion. The complexity of the system increases due to matrix inversion.The Singular Value Decomposition (SVD) based MMSE-PIC algorithm is proposed for the efficient channel interference cancellation and to obtain the better Bit Error Rate (BER) performance without matrix inversion using Quadrature Amplitude Modulation (QAM) technique. The existing and proposed detection algorithms are analyzed using Matlab Simulation environment. From the simulation rsults, Bit Error Rate (BER) performance of SVD based MMSE-PIC detection is superior to the conventional methods.
Keywords: Massive MIMO, BER, MMSE, SVD, MMSE-PIC, QAM, Signal Detection.
Scope of the Article: Predictive Analysis