BER performance simulation in a multi user MIMO Presentation
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This document summarizes a simulation of bit error rate (BER) performance for a multi-user MIMO system using transmit antenna selection/maximal ratio combining (TAS/MRC) over a Nakagami-m fading channel. Modulation schemes evaluated include BPSK, QPSK, and QAM. Simulations were conducted for systems with 200 and 500 users. Results show BER decreasing as the number of users increases or modulation order increases from BPSK to QAM. Findings can inform the design of future MIMO devices.
![SINGLEUSER
MIMO
Multiple antennas are physically connected to each
individual terminal.
Fig 1: Single user MIMO
[1] DigitalCommunication by John G .Proakis 3rd edition Mc graw hill p 841](https://image.slidesharecdn.com/9074d963-0287-4f77-93d0-306cf1ab58bf-150307095440-conversion-gate01/85/BER-performance-simulation-in-a-multi-user-MIMO-Presentation-7-320.jpg)
![MULTIUSER
MIMO
Terminals transmit (or receive) signal to (or from)
multiple users in the same band simultaneously.
Fig 2: Multi-user MIMO
[2] Digital Communication by John G .Proakis 3rd edition Mc graw hill p 842](https://image.slidesharecdn.com/9074d963-0287-4f77-93d0-306cf1ab58bf-150307095440-conversion-gate01/85/BER-performance-simulation-in-a-multi-user-MIMO-Presentation-8-320.jpg)
![Fig 3: Multi-user MIMO System Model usingTAS/MRC
[3] MohammadTorabi, David Haccoun andWessam Ajib, “Capacity and outage probability analysis of
Multiuser Diversity in MIMO MRC Systems withTransmit Antenna Selection “.](https://image.slidesharecdn.com/9074d963-0287-4f77-93d0-306cf1ab58bf-150307095440-conversion-gate01/85/BER-performance-simulation-in-a-multi-user-MIMO-Presentation-11-320.jpg)
![FADING IN
MIMO
Deviation of the attenuation affecting a signal over
certain propagation media[4].
The signal suffers loss in power due to
Shadowing
Reflection
Refraction
Scattering
Are represented by different mathematical expressions
[4 ] Lars Ahlin & Jens Zander, Principles ofWireless Communications, pp.126.](https://image.slidesharecdn.com/9074d963-0287-4f77-93d0-306cf1ab58bf-150307095440-conversion-gate01/85/BER-performance-simulation-in-a-multi-user-MIMO-Presentation-13-320.jpg)
![NAKAGAMI-m
FADING
Fig4: Probability Distribution Function of Nakagami distribution
[5] Nakagami M., “The m-distribution, a General Formula of Intensity Distribution of Rapid Fading in Statistical Methods
in RadioWave Propagation”,W. G. Hoffman, Ed., Pergamon, Oxford, England, 1960](https://image.slidesharecdn.com/9074d963-0287-4f77-93d0-306cf1ab58bf-150307095440-conversion-gate01/85/BER-performance-simulation-in-a-multi-user-MIMO-Presentation-15-320.jpg)
![NAKAGAMI-m
FADING
m-parameter allows to cover both severe and weak
fading.
High value of m causes a negative impact on the
capacity of Mu-MIMO systems.
Used to model
land-mobile
indoor mobile multipath propagation
scintillating ionosphere radio links
[6] Proakis. J. and Salehi. M. “Digital Communication”, 5th Ed, Mc-Graw Hill, International Edition, 2008, p 52, 53.](https://image.slidesharecdn.com/9074d963-0287-4f77-93d0-306cf1ab58bf-150307095440-conversion-gate01/85/BER-performance-simulation-in-a-multi-user-MIMO-Presentation-16-320.jpg)
BER performance simulation in a multi user MIMO Presentation
- 1. BERperformancesimulationin a multi userMIMOTAS/MRC Nakagami-mchannelusing BPSK,QPSKandQAM Under the Supervision of: Mrs. Jayatri Bora, (Asst. Professor, Department of ECE) Vikas Pandey DE/12/EC/001 Rubina Khongsit DE/12/EC/002 Ruptanu Pal DE/12/EC/008 Tanya Singh DE/12/EC/020 RenjiThomas DE/11/EC/051 Kh. Nongpoknganba DE/11/EC/108
- 2. OBJECTIVE Bit Error Rate Performance Simulation For Multi user MIMOTAS/MRC Nakagami-m Channel Using BPSK, QPSK and QAM Using Matlab
- 3. INSPIRATION It is the most recent technique being used in industries Not much work has been done on Nakagami-m fading BPSK, QPSK and QAM are popularly used in commercial MIMO devices
- 5. KEYTERMS Mu-MIMO TAS (Transmit Antenna Selection) MRC (Maximal Ratio Combining) Fading Nakagami-m channel BER
- 6. MIMO MIMO: Multiple Input Multiple Output Multiple antennas at both the transmitter and receiver . Offers increase in data throughput and link range. Spreads the same total transmit power over the antennas to achieve: an array gain a diversity gain
- 7. SINGLEUSER MIMO Multiple antennas are physically connected to each individual terminal. Fig 1: Single user MIMO [1] DigitalCommunication by John G .Proakis 3rd edition Mc graw hill p 841
- 8. MULTIUSER MIMO Terminals transmit (or receive) signal to (or from) multiple users in the same band simultaneously. Fig 2: Multi-user MIMO [2] Digital Communication by John G .Proakis 3rd edition Mc graw hill p 842
- 9. TAS and MRC TAS:Transmit Antenna Selection Selects the best transmitting antenna. Feedback path. Reduces complexity. MRC: Maximal-Ratio Combining An optimal diversity technique with a maximum SNR criterion.
- 10. TAS / MRC An integratedTAS scheme with MRC at the receiver- TAS/MRC. Retains the advantages of both. Employs MRC at receiver. Utilizes partial Channel State Information (CSI), the optimal SNR at the receiver. Single antenna selected out of all possible transmit antennas Maximizes the SNR at the receiver.
- 11. Fig 3: Multi-user MIMO System Model usingTAS/MRC [3] MohammadTorabi, David Haccoun andWessam Ajib, “Capacity and outage probability analysis of Multiuser Diversity in MIMO MRC Systems withTransmit Antenna Selection “.
- 12. SCHEDULING TECHNIQUE Absolute SNR – based scheduling An absolute SNR based scheduler at the base station selects the best user among all the active users. Normalized SNR based proportional fair scheduling Scheduling scheme the base station selects the user with the largest normalized SNR value.
- 13. FADING IN MIMO Deviation of the attenuation affecting a signal over certain propagation media[4]. The signal suffers loss in power due to Shadowing Reflection Refraction Scattering Are represented by different mathematical expressions [4 ] Lars Ahlin & Jens Zander, Principles ofWireless Communications, pp.126.
- 14. NAKAGAMI-m FADING The Nakagami-m distribution: Probability distribution related to the gamma distribution. Two parameters: a shape parameter, m (>1) controlling spread parameter, Ω (=1) Availability of a free parameter allows flexibility.
- 15. NAKAGAMI-m FADING Fig4: Probability Distribution Function of Nakagami distribution [5] Nakagami M., “The m-distribution, a General Formula of Intensity Distribution of Rapid Fading in Statistical Methods in RadioWave Propagation”,W. G. Hoffman, Ed., Pergamon, Oxford, England, 1960
- 16. NAKAGAMI-m FADING m-parameter allows to cover both severe and weak fading. High value of m causes a negative impact on the capacity of Mu-MIMO systems. Used to model land-mobile indoor mobile multipath propagation scintillating ionosphere radio links [6] Proakis. J. and Salehi. M. “Digital Communication”, 5th Ed, Mc-Graw Hill, International Edition, 2008, p 52, 53.
- 17. MODULATION TECHNIQUES Binary Phase Shift Keying (BPSK) Quadrature Phase Shift Keying (QPSK) QuadratureAmplitude Modulation (QAM)
- 18. BIT ERROR RATE (BER) Key parameter used in assessing systems transmitting digital data. Defined as the rate at which error occurs in a transmission system. Can be translated into a simple formula 𝐵𝐸𝑅 = 𝑛𝑜 𝑜𝑓 𝑒𝑟𝑟𝑜𝑟𝑠 𝑡𝑜𝑡𝑎𝑙 𝑛𝑜 𝑜𝑓 𝑏𝑖𝑡𝑠 𝑠𝑒𝑛𝑡 = 𝑛𝑜 𝑜𝑓 𝑒𝑟𝑟𝑜𝑟𝑠 (𝑛𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑝𝑎𝑐𝑘𝑒𝑡𝑠)𝑋(𝑓𝑟𝑎𝑚𝑒−𝑙𝑒𝑛𝑔𝑡ℎ)
- 19. BIT ERROR RATE (BER) Errors in the data, compromise the integrity of the system. BER assesses the performance of the system. BER enables the actual performance of a system in operation to be tested.
- 20. SIMULATION AND RESULT Fig. 5. BER for BPSK,QPSK and QAM in a mu-MIMO with 200 users, having Nakagami-m fading (m=2).
- 21. SIMULATION AND RESULT Fig. 6. BER for BPSK,QPSK and QAM in a mu-MIMO with 500 users, having Nakagami-m fading (m=2).
- 22. INFERENCES The energy per bit to noise power spectral density ratio (EbNo) for BPSK is from 0 to 4, for QPSK is 0 to 8 for QAM is 0 to 16 No of users increases the error do decrease The effect is more in BPSK and the least in QAM Findings can be applied in designing of future MIMO mobile devices
- 23. FUTURE ASPIRATIONS Hardware appraisal of the simulated results Comparison of practical & simulated results.