A Quantitative Cross-System Approach to Spectrum Efficiency William - - PowerPoint PPT Presentation

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A Quantitative Cross-System Approach to Spectrum Efficiency William - - PowerPoint PPT Presentation

Institute for Telecommunication Sciences A Quantitative Cross-System Approach to Spectrum Efficiency William Kozma Jr, Michael Cotton, Giulia McHenry* National Telecommunications and Information Administration (NTIA) Presented at WInnComm 2018


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Institute for Telecommunication Sciences

A Quantitative Cross-System Approach to Spectrum Efficiency

November 2018 www.its.bldrdoc.gov 1

William Kozma Jr, Michael Cotton, Giulia McHenry* National Telecommunications and Information Administration (NTIA) Presented at WInnComm 2018 November 18, 2018

*Giulia McHenry now with FCC

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Institute for Telecommunication Sciences

Background

  • Increasing demand for spectrum by both federal and commercial

services necessitates more efficient use of this finite resource

  • Motivating or incentivizing spectrum efficiency is different for

federal services than it is for commercial services

  • In order to improve spectrum efficiency, one must be able to

define it, quantify it, change it, and evaluate the cost (or the trade-space) associated with changing it

www.its.bldrdoc.gov 2 November 2018

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Institute for Telecommunication Sciences

Objectives

  • Establish regulator-oriented SE metrics that fundamentally

prioritize agencies’ missions

  • Develop SE evaluation framework and tools to enable

agencies/NTIA to quantify and understand tradeoffs between current & future technologies, systems, and assignments

  • Respond to interest from Hill via proactive SE evaluation that
  • Supports national security and mission effectiveness
  • Establishes best practices for optimal spectrum use and technology

innovation

  • Improves opportunities for spectrum sharing

www.its.bldrdoc.gov 3 November 2018

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Institute for Telecommunication Sciences

Approach – Orthogonal Dimensions

  • Spectrum efficiency refers to the effective use of

spectrum in accomplishing the mission, in space, time, and frequency dimensions.

  • Effectiveness depends on the goal and the

service performed while using spectrum. Key Considerations:

  • 1. Is the spectrum in actual use throughout the

continental United States, geographically?

  • 2. Is the spectrum used continuously over 24 hours
  • r there are times when it is not used?
  • 3. Is the frequency of current allocation fully used

and fully needed? Is more spectrum needed? Can technology advancements reduce the need?

  • Is the mission served – considering all 1-3

above?

www.its.bldrdoc.gov 4 November 2018

Frequency Time Space

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Institute for Telecommunication Sciences

Approach –Parameters and Metric

  • Many historical approaches
  • SE can be defined as:

Spectrum producing utility Spectrum assigned or occupied .

  • Offer variety of metrics (in contrast to one-size-fits-all) to

evaluate systems according to purpose, technology, and stage of deployment

  • Incorporate system/service design requirements into

determining utility requirements, e.g., minimum SNR or SINR, Intended range, minimum population coverage

  • Improve information about systems

www.its.bldrdoc.gov 5 November 2018

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Institute for Telecommunication Sciences

Spatial Dimension: Occupancy

  • Assigned area (A)
  • Occupied area (Z) in which the detected signal power will exceed a specific level; Z size

and shape may change with time; Z is the union of the two areas

  • Fraction of total space {assigned, occupied} is {A, Z} divided by total analysis area (Ω)
  • Identify white space

www.its.bldrdoc.gov 6 November 2018

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Spatial Dimension: Utility

www.its.bldrdoc.gov 7 November 2018

  • Detectable energy does not imply utility, e.g., there is an SNR or SINR requirement
  • Define utilized space as area where utility requirement (i.e., planned performance

requirement) is achieved

  • Quantify inefficiencies of occupied space, ε=U/Z, and assignment/license, α=U/A
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Institute for Telecommunication Sciences

Spatial Dimension: Disparate Services

  • Disparate systems sharing spectrum increases spectrum utility
  • Define a spatial compatibility matrix to capture area in which both systems achieve

utility

  • Motivate coexistence between disparate systems

www.its.bldrdoc.gov 8 November 2018

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Institute for Telecommunication Sciences

Frequency Dimension: Single System

  • Construct the problem in a similar fashion as in the Spatial Dimension
  • System has a frequency area, A, and its emissions mask defines its frequency
  • ccupancy, Z
  • The Utility Bandwidth, or Required Bandwidth, U, is defined

www.its.bldrdoc.gov 9 November 2018

RSEC P f U A Z

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Frequency Dimension: Band Efficiency

  • Increase spectrum utility of a band, i.e., band packing or sharing
  • Capture adjacent-band system effects by their occupancy of non-allocated frequencies

www.its.bldrdoc.gov 10 November 2018

Band Allocation

Adjacent-Band System P f

Band Allocation

P f

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Institute for Telecommunication Sciences

Frequency Dimension: Key Questions

  • Are too many channels allocated to a system/service?
  • Has too much bandwidth been allocated?
  • Is possible interference affecting system performance

and/or is the system interfering with others?

  • Does new technology exist that can improve system

efficiency?

November 2018 www.its.bldrdoc.gov 11

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Summary: Generalized Approach to SE

  • SE for Analog systems = {M, U} = {M, B.S.T}, M=Useful effect.

Spectrum utilization factor SUE can be defined as = U’/U SUE = (B’ . S’ . T’) / (B . S . T) = B’/B . S’/S . T’/T Where, B’/B = Net spectrum used over total spectrum available S’/S = Net Space needed to be used over total usage space T’/T = Net time used over net available time.

  • ITU/CCIR (ITU-R, SM.1046-3) document on SE shows how this

definition might be applied to real-world radio systems by modifying the general expression for the specific application of point-to-point microwave, broadcast and other networks.

www.its.bldrdoc.gov 12 November 2018

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Institute for Telecommunication Sciences

Next Steps

  • Convene the tiger team to discuss and flesh-out the fundamental

approach for SE metrics framework

  • Implement an SE framework in a collaborative and fact-based

approach for prioritizing bands and/or services

  • Identify band/service and agency points of contact
  • Acquire and validate GMF metadata for the band/service
  • Acquire and analyze service design specifications and performance

requirements

  • Develop system models, compatibility matrices, and required metadata for

SE evaluation

  • Develop software tools for calculating the efficiency
  • Calculate SE metrics
  • Perform measurements/monitoring to validate

www.its.bldrdoc.gov 13 November 2018

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Institute for Telecommunication Sciences

Challenges

  • Poor or lacking information about systems
  • Consensus on
  • Utility Performance Criteria
  • Interference Protection Criteria
  • Formulation in time dimension, especially with mobile

transmitters and receivers

  • Formulation of compatibility matrix, where coexistence can be

achieved via diverse means (e.g., antenna technology, sense- and-avoid, orthogonality, communications, coordination)

www.its.bldrdoc.gov 14 November 2018