Mimo ofdm in cellular sysytem

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  • MIMO OFDM IN CELLULAR SYSTEM

    131011,131039B.Tech (ICT) Semester-V,IET-Ahmedabad University

    Under the guidance of

    Dr. Dhaval Patel

    October 17, 2015

    Devanshi, Rajvi and IET-Ahmedabad University MIMO-OFDM Mobile Multimedia Communication Systems 1/12

  • Outline

    Background

    Motivation

    System ModelSystem ModelSpecification and AssumptionSpecification and Assumption

    Result InterpretationEEOPA and APA algorithm energy efficiency comparisonEEOPA and APA algorithm capacity comparison

    Further work

    Conclusion

    Devanshi, Rajvi and IET-Ahmedabad University MIMO-OFDM Mobile Multimedia Communication Systems 2/12

  • Background

    In MIMO wireless channel there are some model proposed:Energy efficiency model in Posisson Voronol tessellationcellular networkA relay cooperation schemeRelay aided multi cell MIMO cellular systemMultiuser cellular virtual MIMO system with decode andforward type protocol

    To overcome from above mention models trade off EEOPAmethod is proposed.To improve spectral efficiency and system capacity withoutincreasing the bandwidth MIMO technology create theindependent parallel channels to transmit the data stream.And OFDM technology will convert the frequency-selectivechannels into flat channel.

    Devanshi, Rajvi and IET-Ahmedabad University MIMO-OFDM Mobile Multimedia Communication Systems 3/12

  • Motivation

    To reduce the scarcity of energy resources in industries,current technology is motivated to improve the energyefficiency in mobile multimedia communication system.

    Like in, ICT industry over load of energy consumption makeburden for network engineers by high electrical bills.

    This algorithm is focused on: The energy efficiencyoptimization under given QoS constraints

    Devanshi, Rajvi and IET-Ahmedabad University MIMO-OFDM Mobile Multimedia Communication Systems 4/12

  • System Model- System Model

    Figure : OFDM System Model

    Devanshi, Rajvi and IET-Ahmedabad University MIMO-OFDM Mobile Multimedia Communication Systems 5/12

  • System Model- Specification and Asumption

    The MIMO-OFDM mobile multimedia communication system:

    yk [i ] = Hk [i ]xk [i ] + n

    Where, Hk = Channel Matrix of Mr MtAssume Discrete-Time Block Fading ChannelsHk = Uk

    4k(Vk)H

    Taking, Mr Mtyk [i ] = C

    Mr (Received Symbol of kth subcarrier of ith OFDMsymbol)where, (k [1,N] and i [1, S ])xk [i ] = C

    Mt (Transmitted symbol of kth subcarrier of ithOFDM symbol)n = CMr (Additive noise vector)Assume E (nnH) = IMrMt

    Devanshi, Rajvi and IET-Ahmedabad University MIMO-OFDM Mobile Multimedia Communication Systems 6/12

  • System Model- Specification and Asumption

    Tf = frame duration and B= System BandwidthAssume Tf < Tc

    MIMO channel can be decomposed using SVD method into Mparallel SISO channel.

    Assume that at the transmitter side CSI is know via receiverfeedback channels.

    W = HHH= Wishart channel matrix

    The marginal probability distribution of a Wishart matrix isused for deriving Sub channel gains.

    The system capacity < Shannon capacity

    Devanshi, Rajvi and IET-Ahmedabad University MIMO-OFDM Mobile Multimedia Communication Systems 7/12

  • Result InterpretationComparision of EEOPA and APA algorithm: Energy efficiency versus QoS

    Figure : Graph of Energy efficiency versus QoS

    Devanshi, Rajvi and IET-Ahmedabad University MIMO-OFDM Mobile Multimedia Communication Systems 8/12

  • Result InterpretationComparision of EEOPA and APA algorithm: Capacity versus QoS

    Figure : Graph of Capacity versus QoS

    Devanshi, Rajvi and IET-Ahmedabad University MIMO-OFDM Mobile Multimedia Communication Systems 9/12

  • Future Work

    Key technologies combined with Massive MIMO-OFDMSystem with acute estimation about CSI:

    Device to device supportHeterogeneous networksBase centric architecture for millimeter wave

    Higher QoS provide on same cost as per provide in wirelinechannel.Massive MIMO System has more energy efficiency withdirective antennas.Proposed the channel model which can achieve automaticgain control and optimize system parameters like modulationand channel estimation filters.Radio frequency equipment cost should be lowerImprovement of 5G in excess of 4G is that it is Non- bulky inspace Coherent angle spread of the propagation.

    Devanshi, Rajvi and IET-Ahmedabad University MIMO-OFDM Mobile Multimedia Communication Systems 10/12

  • Conclusion

    An EEOPA algorithm is centered on the Channeldecomposition using SVD method to convert complexmultichannel optimization into a multi target single-channeloptimization.

    Get a closed-form solution for MIMO-OFDM mobilemultimedia communication systems.

    EEOPA algorithm deliver higher energy efficiency and effectivecapacity compared to traditional APA algorithm

    But, we have to compromise either by effective energy or QoS

    Devanshi, Rajvi and IET-Ahmedabad University MIMO-OFDM Mobile Multimedia Communication Systems 11/12

  • Thank you

    Devanshi, Rajvi and IET-Ahmedabad University MIMO-OFDM Mobile Multimedia Communication Systems 12/12