Performance Study Of Higher Order Modulation for LTE Air

Interface

By: HOSAM ABDULLAH. ME121006 Supervisor: PROF. DR. THAREK BIN ABD

RAHMAN.

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Presentation Flow Introduction Problem Statement Objectives Scope of work Literature review Research Methodology Project Progress Preliminary Result Future Plan Conclusion References

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Introduction LTE is the 4G system. LTE targets : DL100Mbps / UL50Mbps , Scalable bandwidths 20MHz,

large number of users, low latency, and cost efficiency. LTE characteristics: Wider frequency bandwidth, MIMO systems, all

packet switched, DL OFDMA, UL SC-FDMA, scheduling and Link adaptation .

Link adaptation: Adaptive Modulation and Coding techniques. Adaptive Modulation in LTE: DL: QPSK, 16QAM, and 64QAM UL: QPSK, 16QAM, and 64QAM (optional for Handset)

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Problem Statement How best to match the transmission parameters ( Modulation

scheme ) to the channel condition. Determine the switching threshold for the modulation scheme

so that system throughput is maximized. C=M*Bw*log2(1+SNR)

QPSK 16QAM 64QAM

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Study the performance of LTE system with different modulation scheme under different channel conditions (models) in terms of Throughput and BLER.

Compare the effect of these channel conditions on the Adaptive modulation.

Establishing the maximum throughput that can be achieved for each modulation scheme under the different channel models.

Determine the statistics of the Modulation schemes utilization for the different channel models.

Objectives

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Simulating Adaptive Modulation for LTE Downlink in different channel models to see how does it affect the throughput.

Compare different modulations and study the behavior of these modulations under different channel conditions.

The evaluation of the system performance will be based on the BLER and Throughput with respect to SNR and for different CQIs.

Scope Of Work

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Literature review 1. I. Seo, S. Won, and Y. Kim, “Performance Analysis of High

Order Modulation Schemes in the wireless Communication System,” The 9th International Conference on Advanced Communication Technology, pp. 460–463, Feb. 2007.

2. A. Alexiou, C. Bouras, V. Kokkinos, A. Papazois, and G. Tsichritzis, “Efficient MCS selection for MBSFN transmissions over LTE networks,” 2010 IFIP Wireless Days, vol. 1, pp. 1–5, Oct. 2010.

3. A. Alexiou, C. Bouras, V. Kokkinos, and A. Papazois, “Modulation and coding scheme selection in multimedia broadcast over a single frequency network-enabled long-term evolution networks,” 2011.

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4. P. Mogensen, W. Na, I. Z. Kovács, F. Frederiksen, A. Pokhariyal, K. I. Pedersen, T. Kolding, K. Hugl, and M. Kuusela, “LTE Capacity compared to the Shannon Bound,” no. 1, pp. 1234–1238, 2007.

5. M. Singh and K. Ahuja, “Performance Evaluation Of Adaptive Modulation Techniques Of Wimax Network With Cyclic Prefix,” pp. 34–38, 2011.

6. M. Meidlinger and Q. Wang, “Performance Evaluation of LTE Advanced Downlink Channel Estimators,” no. April, pp. 11–13, 2012.

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7. Christian Mehlf, M. Wrulich, J. C. Ikuno, D. Bosanska, and M. Rupp, “Simulating The Long Term Evolution Physical Layer,” no. Eusipco, pp. 1471–1479, 2009.

8. S. H. O. Salih, M. M. A. Suliman, and A. B. W. A. D. Roadmap, “Implementation of Adaptive Modulation and Coding Techniques using Matlab,” no. September, pp. 14–16, 2011.

9. Vienna LTE Simulators Link Level Simulator Documentation, v1.7r1089.

10. LTE-Advanced Signal Generation and Measurement Using SystemVue.

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Research Methodology Literature review on LTE and Link adaptation

Understanding the Adaptive Modulation in LTE (QPSK, 16QAM, 64QAM)

Understand the parameters used to evaluate the performance of the LTE system

Use Vienna Link Level Simulator to simulate each of the required scenarios

Build simple block diagrams of LTE system on SystemVue software

Run the simulators, verify the result and plot BLER and Throughput with

respect to SNR and for different CQIs

Compare the result, the effect on the performance and the behavior of AMC in LTE system under different channel conditions

Start

End

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AMC Block diagram:

The performance of AMC is highly dependent on the accuracy link quality estimation at the receiver and the reliable feedback to the transmitter on which the receiver reports Channel Quality Indicator (CQI).

Data IN Tx

Ch-Model/s CQI

Data out Rx

Simple diagram of Adaptive Modulation System in LTE

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Tasks Duration in Semester 1 Session 2013/2014

(WEEKS) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

LTE back ground

literature review

about the project

Vienna Simulation

The Presentation

Report Writing

Project Progress

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Preliminary Result A preliminary test of the performance of LTE transmission on flat Rayleigh channel for several transmission modes.

(a) BLER, flat Rayleigh channel, no HARQ (b) BLER, flat Rayleigh channel, 3 retransmissions

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(c) Throughput, flat Rayleigh channel, no HARQ

(d) Throughput, flat Rayleigh channel, 3 retransmissions

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Reference BLER and throughput plots for the 15 MCSs

(a) BLER, AWGN no HARQ (b) Throughput, AWGN, no HARQ

4QAM

16QAM

64QAM

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Tasks Duration in Semester 1 Session 2013/2014

(WEEKS) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

On LTE parameters

Vienna LLS and SysVue

block diagrams

Simulation

Analyze and compare the

result

Final Presentation

Final Thesis

Future Plan

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Conclusion A literature review on LTE, AMC, Evaluating

LTE performance, and the must available updated simulators used to simulate LTE. Studying the Adaptive modulation was done. The methodology to achieve the objectives

was clarified. Some initial results were achieved

Successfully.

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References 1. I. Seo, S. Won, and Y. Kim, “Performance Analysis of High Order

Modulation Schemes in the wireless Communication System,” The 9th International Conference on Advanced Communication Technology, pp. 460–463, Feb. 2007.

2. A. Alexiou, C. Bouras, V. Kokkinos, A. Papazois, and G. Tsichritzis, “Efficient MCS selection for MBSFN transmissions over LTE networks,” 2010 IFIP Wireless Days, vol. 1, pp. 1–5, Oct. 2010.

3. A. Alexiou, C. Bouras, V. Kokkinos, and A. Papazois, “Modulation and coding scheme selection in multimedia broadcast over a single frequency network-enabled long-term evolution networks,” 2011.

4. P. Mogensen, W. Na, I. Z. Kovács, F. Frederiksen, A. Pokhariyal, K. I. Pedersen, T. Kolding, K. Hugl, and M. Kuusela, “LTE Capacity compared to the Shannon Bound,” no. 1, pp. 1234–1238, 2007.

5. M. Singh and K. Ahuja, “Performance Evaluation Of Adaptive Modulation Techniques Of Wimax Network With Cyclic Prefix,” pp. 34–38, 2011.

6. M. Meidlinger and Q. Wang, “Performance Evaluation of LTE Advanced Downlink Channel Estimators,” no. April, pp. 11–13, 2012.

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7. Christian Mehlf, M. Wrulich, J. C. Ikuno, D. Bosanska, and M. Rupp, “Simulating The Long Term Evolution Physical Layer,” no. Eusipco, pp. 1471–1479, 2009.

8. S. H. O. Salih, M. M. A. Suliman, and A. B. W. A. D. Roadmap, “Implementation of Adaptive Modulation and Coding Techniques using Matlab,” no. September, pp. 14–16, 2011.

9. Vienna LTE Simulators Link Level Simulator Documentation, v1.7r1089.

10. LTE-Advanced Signal Generation and Measurement Using SystemVue. 11.E. Dahlman, S. Parkvall, and J. Skold, 4G LTE/LTE-Advanced for Mobile

Broadband. British Library: Elsevier Ltd., 2011. 12.S. Edition, LTE for UMTS Evolution to LTE-Advanced LTE for UMTS

Evolution to LTE-Advanced. Finland: John Wiley & Sons, 2011.

References Cont……

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Thank you for your kind attention.