survey on ofdm-mimo technology

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Survey on Ofdm-Mimo wireless broadcasting system

Guided By-Debasis Surya N.Das

Content Introduction

Wireless broadcasting System

OFDM

Literature Survey

Objective

References

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Introduction Increasing growth of data traffic we have to rely on

multiple transmitter and multiple receiver of antenna for better transmission.

Due to limitation of spectrum bandwidth efficiency ,we have to search for a communication design with high data rate(bandwidth-efficiency) and small error rate(power-efficiency)

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Wireless broadcasting System

Wireless communication is the transfer of information between two or more points that are not connected by an electrical conductor.

Wireless systems can be divided into 4 forms:

> SISO

> SIMO

> MISO

> MIMO

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SISO SISO (single input, single output) refers to a wireless

communications system in which one antenna is used at the source(transmitter) and one antenna is used at the destination (receiver).

It uses simple antenna technology.

Interference and fading will have more effect in this system.

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SIMO

SIMO (single input, multiple output) is an antenna technology for wireless communications in which multiple antennas are used at the destination (receiver).

The source (transmitter) has only one antenna.

The antennas are combined to minimize errors and optimize data speed.

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MISO MISO (multiple input, single output) is also termed

transmit diversity.

The advantage of using MISO is that the multiple antennas and the redundancy coding / processing is moved from the receiver to the transmitter.

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MIMO Multiple-Input Multiple-Output (MIMO) technology

is a wireless technology that uses multiple transmitters and receivers to transfer more data at the same time.

MIMO makes antennas work smarter by enabling them to combine data streams arriving from different paths.

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Advantages of MIMO

It offers significant increase in data throughput and link range without additional bandwidth or increased transmit power.

MIMO technology takes advantage of a natural radio-wave phenomenon called multipath.

MIMO makes antennas work smarter.

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Application of MIMO• WLAN – WiFi 802.11n

• Mesh Networks (e.g., Wireless)

• WMAN – WiMAX 802.16e

• 4G

• RFID(Radio Frequency Identification)

• Digital Home

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OFDM Orthogonal frequency-division multiplexing (OFDM) is a

method of digital modulation in which a signal is split into several narrowband channels at different frequencies.

OFDM is similar to conventional frequency-division multiplexing (FDM).

OFDM is a frequency-division multiplexing(FDM) scheme used as a digital multicarrier modulation method.

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Advantage of OFDM

Allows simultaneous high-data-rate transmission from several users.

Pulsed carrier can be avoided.

Resilience to interference

Immunity to selective fading

Spectrum Efficiency

Resilient to ISI

Resilient to narrow band effects

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Application of OFDM

Digital Audio Broadcasting (DAB)

Digital television

Wireless LAN Network

Broadband Wireless Access System

ADSL (Asymmetric digital subscriber line)

The LTE and LTE Advanced 4G mobile phone standards.

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Literature SurveyAREA AUTHOR METHODOLOGY

1)Adaptive filter

i)Gyorgy Oros,LaszloSujbert,Gabor Pecl

ii) Herbert Buncher,JacobBenety,Walter kellerman [2]

i)Multiple Adaptive filtering

ii) FX-LMS

2)Channel Estimation i)Eleftherios Kofidis,DimitriosKatselis , AthanasiosRontogiannis , SergiosTheodoridis [1]

ii)Ashwani Sharmaa, Swades Deb, HariM. Guptab, Ranjan Gangopadhyayd

i)Preamble-based channel estimation methods

ii)Distortion analysis of MDTC–OFDM system

3)Channel equalization i)Gyanesh Das a, Prasant Kumar Pattnaik b, Sasmita Kumari Padhy [3]

ii) Babak HajiBagher Naeenia, Hamidreza Amindavarb, HamidrezaBakhshi

i)Artificial Neural Network by channel equalization

ii) Blind per tone equalizationof multilevel signals

4)Channel ModelingRobert c.danies,robert w.heath jr[4]

i)Inverse marginal cdfapproximation through subcarrier ordering 15

Objective By the above literature survey ,we set our project

objective as

“CHANNEL MODEL FOR OFDM-MIMO WIRELESS BROADCATING SYSTEM”

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References[1] E. Kofidis ,et al., “Channel estimation in OFDM/OQAM systems”, ‘‘ Elsevier /23january,2013”

[2] H.Buncher ,et al., “Adaptive filtering with bandwidth constraint in feedback path”, “ Elsevier /25june,2011”

[3] G. Das ,et al .,“Artificial Neural Network trained by Particle Swarm Optimization for non-linear channel equalization”,/Elsevier /12 july,2013”

[4] Robert c.danies,et al., “modeling order subcarrier SNR in mimo OFDM”,/Elsevier/1ooctober,2011

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THANK YOU

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