Bit error rate minimization in OFDM-MIMO system

Singh, Maninder; Saini, Hardeep Singh; Arora, Dinesh

doi:10.1109/icecct.2015.7226140

Cited by 4 publications

(3 citation statements)

References 19 publications

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“…The CMA Equalizer block uses a linear equalizer and the constant modulus algorithm (CMA) to equalize a linearly modulated baseband signal through a dispersive channel. During the simulation, the block uses the CMA to update the weights, once per symbol [10]. If the Number of samples per symbol parameter is 1, then the block implements a symbol-spaced equalizer; otherwise, the block implements a fractionally spaced equalizer [6].…”

Section: Cmamentioning

confidence: 99%

Performance evaluation of various Channel Equalization Techniques in terms of BER for OFDM System

Manhas¹,

Soni²

2016

IJWMCIS

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Section: Cmamentioning

confidence: 99%

Performance evaluation of various Channel Equalization Techniques in terms of BER for OFDM System

Manhas¹,

Soni²

2016

IJWMCIS

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“…In the wider sense precoding is spatial process which takes place on transmitter [2]. (2) Spatial Multiplexing: Spatial multiplexing utilizes the high S/N ratio to raise the channel capability [2] [10]. (3) Diversity Coding: we likely utilized this coding if we've no specific information of channel at source end.…”

Section: Introductionmentioning

confidence: 99%

“…Distributed MIMO is a arrangement where the base station antennas are physically spread over the cell as an alternative of being co-located in a single array in the cell center. From a performance viewpoint distributed massive MIMO is superior to co-located massive MIMO, but it might be tougher and more costly to instrument [10] [11]…”

mentioning

confidence: 99%

Performance Evaluation of Mimo System with Massive Antenna Arrays

Kumar¹,

Saini²

2019

IJITEE

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In the ground of digital word, wireless communication system has widespread functions. The demand for wireless communication is growing day by day. All users want better quality service in scope of wireless communication. Due to high bit error rate (BER), low signal to noise ratio (SNR), limited bandwidth and high standard deviation (SD) of phase error conventional wireless communiqué systems like SISO, SIMO and MISO flops to gather the mounting demand of users. Therefore a new technique MIMO system is realized whose performance is evaluated by parameters BER, SNR and SD of Phase Error. Latest approach for increasing the performance of virtual MIMO communications within peers by ill-treatment situation with giant antenna arrays is developed. MIMO provides low BER and low SD of Phase Error with increased SNR, which forms a good feature for wireless communication system. In this paper, performance of MIMO is assessed under Nakagami-m and Rayleigh fading channels. For a wireless system BER and SD of phase error should be minimum, which is achieved in MIMO system.

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