Presentation Title

Progress in Channel Models and Spectrum for 5G Author Panel Moderator: Prof. Ted Rappaport NYU WIRELESS, April 21, 2016

Wireless Carrier Frequencies Have Not Kept Pace Moore’s Law in the Past 40 Years 1976

2016

Increase

Presentation Title Clock Speed

Personal Computer

1 MHz

5 GHz

5,000x

Personal Computer Memory Size

256 KB

500 GB

2,000,000x

850 MHz

2.5 GHz

3x

Author Cellular Phone Carrier Frequency

2

NYU WIRELESS provides Open-source Simulation and Modeling Software Suite For Global Development of 5G Millimeter Wave Wireless Networks Downloads include real world data from 28 GHz and 73 GHz, Presentation Title and many resources. Publically Available: http://nyuwireless.com/5gmillimeter-wave-channelAuthor modeling-software/ or http://bit.ly/1WNPpDX

M. Samimi, et. al, “Statistical Channel Model with Multi-Frequency and Arbitrary Antenna Beamwidth for Millimeter-Wave Outdoor Communications, IEEE Global Communication Conf. (Globecom), Dec. 2015

M. Samimi, et. al, “Local Multipath Model Parameters for Generating 5G Millimeter-Wave 3GPP-like Channel Impulse Response,” 2016 EuCap, April 2016.

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Propagation “Path Loss Exponent (PLE)”-Do we need a standard definition?

Presentation Title

Author

NYU proposed a global standard for channel modeling: a 1 meter free space “close-in” (CI) reference distance to properly account for frequency-dependent path loss from 500 MHz to 100 GHz and beyond (> 2 OOM) T. S. Rappaport, et. al., "Wideband Millimeter-Wave Propagation Measurements and Channel Models for Future Wireless Communication System Design," in IEEE Transactions on Communications, vol. 63, no. 9, pp. 30293056, Sept. 2015.

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3GPP/ITU PATH LOSS MODELS > 6 GHz f in GHz, d in meters for 3GPP/ITU format

3GPP RAN IS NOW DEBATING WHETHER TO USE THE ABG OR CI MODELS BASED ON DATA

Presentation Title

Author

S. Sun et al., ”Investigation of Prediction Accuracy, Sensitivity, and Parameter Stability of Large-Scale Propagation Path Loss Models for 5G Wireless Communications,” IEEE Transactions on Vehicular Technology, Vol. 65, No. 5, p. 1-18, May 2016. K. Haneda et al., “5G 3GPP-like channel models for outdoor urban microcellular and macrocellular environments,” 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), May 2016. [Online]. Available: http://arxiv.org/abs/1602.07533. K. Haneda et al., “Indoor 5G 3GPP-like channel models for office and shopping mall environments,” 2016 IEEE International Conference on Communications Workshops (ICCW), May 2016. [Online]. Available: http://arxiv.org/abs/1603.04079

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Multi-Frequency Path Loss Model Performance in the UMa Scenario

Presentation Title

3GPP’s current ABG model has noticeable errors at close-in distances, i.e., it predicts much less (within 30 m of TX).

Author path loss compared with free space

Proper Choice for short distance accuracy is CI/CIF model, not legacy ABG model S. Sun et al., ”Investigation of Prediction Accuracy, Sensitivity, and Parameter Stability of Large-Scale Propagation Path Loss Models for 5G Wireless Communications,” IEEE Transactions on Vehicular Technology, Vol. 65, No. 5, p. 1-18, May 2016.

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Multi-Frequency Path Loss Model Performance in the UMa Scenario 3GPP’s ABG model over estimates path loss (i.e., underestimates interference) at large distances (e.g. 1 km) compared with the CI/CIF model

Presentation Title

Author

The CI/CIF model is more conservative for interference-limited systems distances and also more realistic when modeling signal strengths at close-in distances.

Proper Choice is CI/CIF Model, not legacy ABG model S. Sun et al., ”Investigation of Prediction Accuracy, Sensitivity, and Parameter Stability of Large-Scale Propagation Path Loss Models for 5G Wireless Communications,” IEEE Transactions on Vehicular Technology, Vol. 65, No. 5, May. 2016, p. 1-18.

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Path Loss Model: Parameter Sensitivity based on measured data

ABG: Current 3GPP model has large, unstable shadow fading standard deviation; Significant variation of model parameters

Presentation Title

CI/CIF: Small and stable shadow fading standard deviation; Little variation of model parameters S. Sun et al., ”Investigation of Prediction Accuracy, Sensitivity, and Parameter Stability of Large-Scale Propagation Path Loss Models for 5G Wireless Communications,” IEEE Transactions on Vehicular Technology, Vol. 65, No. 5, p. 1-18, May 2016.

Author Shadow fading standard deviation of the ABG, CI, and CIF path loss models for prediction in distance when the prediction set is closer to the transmitter in the UMa scenario

Parameters of the ABG, CI, and CIF path loss models for prediction in distance when the prediction set is closer to the transmitter in the UMa scenario

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Progress in Channel Models and Spectrum for 5G • Do channel models really matter in standards? • How fast can we develop v. how accurate do they need to be? • Do we care if models work outside the limited frequencies, distances used for measurement? Presentation Title • Must we retain approaches below 6 GHz when going to 100 GHz? • How are models really used in industry/academia/government? • How do federal regulators use channel models, what’s used today? • How to standardize mmWave bands for 5g global adoption? Author • 28 GHz not accepted by EU? • US not going above 95 GHz?

Progress in Channel Models and Spectrum for 5G

Panel Participants • Michael Ha (FCC) Presentation Title • Takehiro Nakamura (NTT DOCOMO) • Sanyogita Shamsunder (Verizon Wireless) Author • Mr. Karri Kuoppamaki (T-Mobile USA)

Thank you Presentation Title

Author