ISART 2022: Evolving Spectrum-Sharing Regulation through Data-, Science-, and Technology-Driven Analysis and Decision-Making

Background Reference Bibliography

General Background Reading

[1] Drocella, E., Sole, R., LaSorte, N. “Technical Feasibility of Sharing Federal Spectrum with Future Commercial Operations in the 3450-3550 MHz Band.” National Telecommunications and Information Administration, Technical Report TR-20-546 (Jan. 27, 2020).

[2] U.S. Department of Commerce, National Telecommunications and Information Administration. “Feasibility of Commercial Wireless Services Sharing with Federal Operations in the 3100-3550 MHz Band.” Report to Congress (Jul. 6, 2020).

[3] Federal Communications Commission, Office of Engineering and Technology. “Revising Spectrum Sharing Rules for Non-Geostationary Orbit, Fixed-Satellite Service Systems.” Order and Notice of Proposed Rulemaking, DA/FCC #: FCC 21-123 Docket/RM: 21-456, RM-11855 (Dec. 15, 2021).

[4] Federal Communications Commission, Office of Engineering and Technology. “Promoting Efficient Use of Spectrum through Improved Receiver Interference Immunity Performance.” Notice of Inquiry FCC-22-29. Docket/RM: 22-137 (Apr. 21, 2022).

[5] Kwerel, E., et. al. “Evan Kwerel on the Origins of Spectrum Auctions.” Technology Policy Institute Podcast (Apr. 28, 2022).

Economics of Spectrum Sharing

[6] Bustamante, P., Gomez, M., Murtavashvili, I., Weiss, M. “Spectrum anarchy: why self-governance of the radio spectrum works better than we think.” Journal of Institutional Economics, Vol. 16 (2020): pp. 863-882.

[7] Bustamante, P., Weiss, M., Sicker, D., and Gomez, M. “Federal Communications Commission’s experimental radio service as a vehicle for dynamic spectrum access: An analysis of 10 years of experimental licenses data.” Data & Policy, 2, E6 (2020).

[8] Federal Communications Commission, Office of Economics and Analytics. “Communications Marketplace Report – 2020.” Research Report, FCC 20-188 (Dec. 31, 2020).

[9] Hanson, S.S.M., et al. “A Model for Spectrum Valuation.” 2019 IEEE/AIAA 38th Digital Avionics Systems Conference (Sep. 8-12, 2019): pp. 1-9.

[10] Hazlett, T. “The Political Spectrum: The Tumultuous Liberation of Wireless Technology, from Herbert Hoover to the Smartphone.” Yale University Press (2017).

[11] Hazlett, T. and Lam, S. “Exactitude in Defining Rights: Radio Spectrum and the ‘Harmful Interference’ Conundrum.” Berkeley Technology Law Journal, George Mason Law and Economics Research Paper, No. 12-55 (2012).

[12] Kahn, C. “Evolving Economic and Policy Mechanisms to Support Spectrum Sharing.” 2022 International Symposium on Advanced Radio Technologies, ISART 2022 (Jun. 13-16, 2022).

[13] Kahn, C., et al. “A Macroeconomic Model of Federal and Commercial Spectrum Usage.” The Research Conference on Communications, Information, and Internet Policy (Aug.2,2021).

[14]Lam, S.O. “Markets in Experimental Licenses,” 2022 International Symposium on Advanced Radio Technologies, ISART 2022 (Jun. 13-16, 2022).

[15] Milgrom, P., Wehl, E.G., and Zhang, A.L. “Redesigning Spectrum Licenses.” Regulation (Sep. 2017).

[16] Oh, S. “A Model of Radio Replacement for Spectrum Policy.” The Research Conference on Communications, Information, and Internet Policy Conference 2011 (Jan. 27, 2015).

[17] Oh, S. and Wallsten, S. “Broadband Policy Guidebook, 2022 Edition.” Technology Policy Institute (Apr. 4, 2022).

[18] Rosston, G., Skrzypacz, A. “Reclaiming spectrum from incumbents in inefficiently allocated bands: transaction costs, competition, and flexibility.” Telecommunications Policy, Volume 45, Issue 7 (Apr. 2021).

[19] Weiss, M.B.H., Krishnamurthy, P., Gomez, M.M. “How can polycentric governance of spectrum work.” 2017 IEEE International Symposium on Dynamic Spectrum Access Networks (Mar. 6-9, 2017): pp. 1-10.

Data Sharing and Transparency

[20] Lichtman, M. and Berndt, L. “Achieving National Scale Infrastructure for Spectrum Monitoring.” 2022 International Symposium on Advanced Radio Technologies, ISART 2022 (Jun. 13-16, 2022).

[21] McCloskey, D. “Increasing Spectrum Data Sharing and Transparency with a Secure, Extensible Data Fabric.” 2022 International Symposium on Advanced Radio Technologies, ISART 2022 (Jun. 13-16, 2022).

[22] Oughton, E.J., et al. “Policy choices can help keep 4G and 5G universal broadband affordable.” Technological Forecasting and Social Change, Vol. 176 (Jan. 6, 2022).

[23] Oughton, E.J., et al. “An Open-Source Techno-Economic Assessment Framework for 5G Deployment.” IEEE Access (Sep. 29, 2019).

[24] Rennier, A., et al. “SSTD Observations on Improved Spectrum Sharing.” 2022 International Symposium on Advanced Radio Technologies, ISART 2022 (Jun. 13-16, 2022).

Risk-Informed Interference Analysis

[25] Al Kalaa, M.O., et al. “A Case Study of Medical Device Wireless Coexistence Evaluation.” IEEE EMC, Vol. 9, Issue 4 (Oct. 2020).

[26] Apostolakis, G.E. “How Useful Is Quantitative Risk Assessment?Risk Analysis, vol. 24, no. 3 (2004): pp. 515–520.

[27] Association for the Advancement of Medical Instrumentation. “Risk Management of Radio-Frequency Wireless Coexistence for Medical Devices and Systems.” American National Standards Institute, AAMI TIR69 (2017).

[28] de Vries, J. P., Livnat, U., and Tonkin, S. “A Risk-Informed Interference Assessment of MetSat/LTE Coexistence.” IEEE Access, vol. 5 (2017): pp. 6290–6313.

[29] de Vries, J.P. “Risk-informed interference assessment: A quantitative basis for spectrum allocation decisions.” Telecommunications Policy, vol. 41, no. 5 (Jun. 2017): pp. 434–446.

[30] Federal Communications Commission. Technological Advisory Council. Spectrum and Receiver Performance Working Group. “A Quick Introduction to Risk-Informed Interference Assessment.” Interference Assessment (Apr. 2015).

[31] Henry, R. and Zebrowitz, H. “Risk-Informed Spectrum Sharing and Management Capability.” 2022 International Symposium on Advanced Radio Technologies, ISART 2022 (Jun. 13-16, 2022).

[32] IEEE Standards Association. “American National Standard for Evaluation of Wireless Coexistence.” ANSI C63.27-2017 (May 2017): pp.1-77.

[33] Kaplan, S. and Garrick, B.J. “On The Quantitative Definition of Risk.” Risk Analysis, vol. 1, no. 1 (1981): pp. 11–27.

[34] Kontson, K., et al. “Risk Management Approaches to Spectrum Coexistence Assessments for Spectrum Sharing.” 2022 International Symposium on Advanced Radio Technologies, ISART 2022 (Jun. 13-16, 2022).

[35] Youngblood, R.W., et al. “Formal Methods of Decision Analysis Applied to Prioritization of Research and Other Topics.” U.S. Nuclear Regulatory Commission, NUREG/CR-6833 (Aug. 2003).

Model Standardization: Propagation Modeling Case Study

[36] Ding, E., et al. “Pathloss-Based Uplink Sector Emissions Model for LTE Aggregate Interference Prediction.” 2022 International Symposium on Advanced Radio Technologies, ISART 2022 (Jun. 13-16, 2022).

[37] Farshchian, M., et al. “Machine Learning for Clutter Loss Prediction in Aggregate Interference Assessments.” 2022 International Symposium on Advanced Radio Technologies, ISART 2022 (Jun. 13-16, 2022).

[38] Kuklinski, W. et al. “Application of Gaussian Mixture Modeling Methods to Analysis and Prediction of Cellular Communications Pathloss Distributions.” 2022 International Symposium on Advanced Radio Technologies, ISART 2022 (Jun. 13-16, 2022).

[39] International Telecommunication Union. Radiocommunication Sector (ITU-R). Working methods for the Radiocommunication Assembly, the Radiocommunication Study Groups, the Radiocommunication Advisory Group and other groups of the Radiocommunication Sector. Res.1-8 (2019)

[40] McCloskey, D. “Model Standardization and Operationalization with a Development and Management Platform (“DMP”).” 2022 International Symposium on Advanced Radio Technologies, ISART 2022 (Jun. 13-16, 2022).

[41] Rennier, A., et al. “Greenman: A Sector-based LTE Emission Model.” 2022 International Symposium on Advanced Radio Technologies, ISART 2022 (Jun. 13-16, 2022). [In Review]

[42] Rennier, A., et al. “SSTD Findings on AWS-3 Spectrum Sharing Assessments.” 2022 International Symposium on Advanced Radio Technologies, ISART 2022 (Jun. 13-16, 2022). [In Review]

Technical Enablers for Evolving Regulatory Processes

[43] Baylis, C., et al. “SMART Hub: Solving the Spectrum Crisis through Joint Research in Policy, Technology, Security, and Economics for Future Adaptive and Configurable Wireless Systems.” IEEE Texas Symposium on Wireless and Microwave Circuits and Systems (May 18-20, 2021): pp 1-4.

[44] Bertizzolo, L. and Melodia, T. “Method for Spectrum Sharing by Primary and Secondary Networks Based on Cognitive Beamforming.” U.S. Patent Application Publication US 2022/0116789 A1 (Apr.14, 2022).

[45] Egbert, A., Baylis, C., et al. “Continuous Real-Time Circuit Reconfigurable to Maximize Average Output Power in Cognitive Radar Transmitters.” IEEE Transactions on Aerospace and Electronic Systems (Jan.5, 2022).

[46] Polese, M., Marcus, M., Melodia, T., Jornet, J. “Possible Active/Passive Spectrum Sharing in the 100-275 GHz Band Pursuant to WRC-2000 Resolution 731.” 2022 International Symposium on Advanced Radio Technologies, ISART 2022 (Jun. 13-16, 2022).

[47] Rennier, A., et al. “AWS-3 Spectrum Sharing Assessment Process Improvement.” 2022 International Symposium on Advanced Radio Technologies, ISART 2022 (Jun. 13-16, 2022).