Abstract
Multi User—Multiple-input multiple-output based wireless communication system has several advantages over conventional MIMO systems such as high data rate and channel capacity which has drawn great attention recently and is prominently preferred for 5G systems. The other side interferences due to the Multi-User mobile environment such as co-channel interference and multiple access interference the overall system performance will be degraded. Highly reliable techniques need to be incorporated to improve the Quality of services. Moreover, the energy efficiency and compactness requirement of 5G systems present new challenges to investigate techniques for reliable communications. Introducing a novel low-complexity radix factorization based Fast Fourier transform multi beam former and maximal likelihood –multi-user detection techniques. As signal detector tailored with optimal sub-detector systems which results in considerable complexity reduction with intolerable error rate performance. The proposed radix factorized Fast Fourier transform—multi-beam forming architectures have the potential to reduce both hardware complexity and energy consumptions as compared to its state-of-the-art methods while meeting the throughput requirements of emerging 5G devices. Here through simulation results, the efficiency of the scaled ML sub-detector system at the downlink side is compared with the conventional ML detectors. Through experimental results, it is well proved that the proposed detector offers significant hardware and energy efficiency with the least possible error rate performance overhead.
Highlights
In recent year’s multi user - Multiple-input multiple-output (MU-MIMO) system has been emerged as one of the prominent techniques to achieve performance metrics such as quality of services and improved data rate with the limited spectrum availability [1&2]
In most cases maximum likelihood (ML) has been used as a prominent multiuser detection (MUD) model which can reduce the performance gap that arises due to lack of coordination among users over MU-MIMO systems
The following facts can be observed: (i) All beams formulated with equal gain using fast Fourier transform (FFT) transforms are orthogonal to each other and complexity is decrease exponentially as N (FFT point) increases. (ii) Our optimized ML matches with the analytical ML BER very well in moderate and low SNR regimes and end with least discrimination when BER is below 10−3, and explored that our optimal ML has major advantages in terms of complexity and data rate effieniecy
Summary
Marshiana D Sathyambama Institute of Science and Technology: Sathyabama Institute of Science and Technology. Krishnamoorthy N.R Sathyambama Institute of Science and Technology: Sathyabama Institute of Science and Technology.
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