Elimination beam-forming in downlink multi-user MIMO systems

Abstract Multi user - Multiple-input multiple-output (MU-MIMO) based wireless communication system has several advantage over conventional MIMO systems such as high data rate and channel capacity which drawn great attention recently and prominently preferred for 5G systems. And on 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 and highly reliable techniques need to be incorporate to improve the Quality of services. Moreover the energy efficiency and compactness requirement of 5G systems presents new challenges to investigate techniques for reliable communications. In this paper we introduce a novel low-complexity radix factorization based fast Fourier transform multi beam former and maximal likelihood –multi user detection (ML-MUD) techniques as signal detector tailored with optimal sub detector systems which results with considerable complexity reduction with intolerable error rate performance. The proposed radix factorized Fast Fourier transform - multi-beam forming (RF-FFT-MBF) 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 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 least possible error rate performance overhead.

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WLC01-1: Quantized-Feedback Optimal Adaptive Multi-Beam Forming for MIMO Systems

IEEE Globecom 2006 ◽

10.1109/glocom.2006.615 ◽

2006 ◽

Cited By ~ 1

Author(s):

Hoang Nguyen ◽

Balaji Raghothaman

Keyword(s):

Mimo Systems ◽

Beam Forming ◽

Quantized Feedback

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mmWave MIMO systems for 5G communications

International Journal of Sensors Wireless Communications and Control ◽

10.2174/2210327909666190506145304 ◽

2019 ◽

Vol 09 ◽

Author(s):

Sarala Patchala ◽

M. Sailaja

Keyword(s):

Wireless Communication ◽

Spectral Efficiency ◽

Communication System ◽

Mimo Systems ◽

Mimo System ◽

Beam Forming ◽

Next Generation ◽

Wireless Communication System

: The next generation 5g communications are used with baseband precoders and beam forming. The technology is needed to update the all the available characteristics in the present wireless communication system. In the mmWave MIMO system the number of antenna are increased to improve the spectral efficiency of the system.

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Implementation of wireless model for SVD based beam forming in MIMO systems

2014 2nd International Conference on Devices, Circuits and Systems (ICDCS) ◽

10.1109/icdcsyst.2014.6926159 ◽

2014 ◽

Cited By ~ 1

Author(s):

A. Ch. Sudhir ◽

B. Prabhakara Rao

Keyword(s):

Mimo Systems ◽

Beam Forming

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Optimal Power Analysis of Downlink Multi-User SA-MIMO Systems Use

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.614.530 ◽

2014 ◽

Vol 614 ◽

pp. 530-534

Author(s):

Jian Xin Dai ◽

Jun Zhou ◽

Jie Qi ◽

Ming Chen ◽

Tao Yuan ◽

...

Keyword(s):

Outage Probability ◽

Power Analysis ◽

Optimization Problem ◽

Mimo Systems ◽

Mimo System ◽

Diagonal Element ◽

System Model ◽

Beam Forming ◽

Transmit Power ◽

Optimal Power

This paper investigated the problem of transmit power minimization to meet the users’ outage probability constraints in downlink smart antennas-MIMO (SA-MIMO) systems. Firstly, a downlink multi-user SA-MIMO system model is established, and the transmit power optimization problem is formulated. The optimization problem jointly optimizes the beam-forming vectors and user outage probability. Then, the outage-based optimization problem is transformed into a geometric programming problem in which the beam forming vectors were obtained by maximum diagonal element (MDE) rule. Some numerical results show that the proposed method in this paper is viable and the transmit power in downlink SA-MIMO systems significantly descreases relative to traditional MIMO systems.

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