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Market Research Report

Next Generation Public Safety: Broadband Wireless and the Integration of Artificial Intelligence and other Advanced Technologies

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Next Generation Public Safety: Broadband Wireless and the Integration of Artificial Intelligence and other Advanced Technologies
Published: July 18, 2017 Content info: 453 Pages
Description

Overview:

The Public Safety segment continues to be an important sector due to ever increasing expectations that technology will make consumer's lives easier, more convenient, and safe. Technologies range from improvements to location determination and mapping systems to next generation user interfaces and databases such as Augmented Reality for first responders. Artificial Intelligence will increasingly be integrated into various systems to provide decision making assistance. Virtual Reality will be used for both training/simulations as well as remote command and control. In all cases, broadband wireless is a critically important operational element.

This report evaluates the current state of public safety technology and solutions and assesses emerging technologies and potential future solutions. The report also provides forecasts for public safety technology spending in the United States for 2016 through 2020. This research also evaluates the growth of AI, its application across diverse sectors, and the associated impact upon Public Safety, Security, and Privacy. The report also provides analysis of planned LTE bandwidth improvements and transition towards 5G. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Target Audience:

  • Telecom service providers
  • Public safety organizations
  • Artificial Intelligence companies
  • Cloud and IoT services companies
  • Broadband wireless infrastructure providers
Table of Contents

Table of Contents

Public Safety Technology and Solutions: Market Analysis and USA Forecasts

1. Executive Summary

2. Introduction

  • 2.1. Public Safety in Perspective
  • 2.2. Scope of Public Safety
    • 2.2.1. Prevention
    • 2.2.2. Detection
    • 2.2.3. Mitigation
    • 2.2.4. Investigation
  • 2.3. Emergency Response and Control
    • 2.3.1. Emergency Medical Services
    • 2.3.2. Fire/Rescue
    • 2.3.3. Law Enforcement
    • 2.3.4. Responder Coordination
  • 2.4. Current Technology Supporting Public Safety
    • 2.4.1. Public Safety Answer Points
    • 2.4.2. Geographic Information Systems
    • 2.4.3. Enhanced Wireless 9-1-1
    • 2.4.4. Indoor Location Systems
    • 2.4.5. LMR for Public Safety Communications
    • 2.4.6. LTE for Public Safety Communications
    • 2.4.7. Lawful Intercept/CALEA

3. Leading Companies and Solutions

  • 3.1. Airbus DS
  • 3.2. Alcatel-Lucent
  • 3.3. Carousel Industries
  • 3.4. Cisco
  • 3.5. Ericsson
  • 3.6. General Dynamics Corporation
  • 3.7. Harris Corporation
  • 3.8. Hitachi Technology
  • 3.9. IBM
  • 3.10. InterDigital
  • 3.11. Intrado (West)
  • 3.12. Lockheed Martin
  • 3.13. Motorola Solutions
  • 3.14. NICE
  • 3.15. Nokia Networks
  • 3.16. Northrop Grumman
  • 3.17. Raytheon
  • 3.18. Telecommunications Systems Inc.
  • 3.19. Thales

4. Important Global Public Safety Organizations

  • 4.1. APCO
  • 4.2. CALEA
  • 4.3. EENA
  • 4.4. ETRI
  • 4.5. FEMA
  • 4.6. NICE
  • 4.7. NENA
  • 4.8. NIST
  • 4.9. NPSTC
  • 4.10. PSCR

5. Next Generation Public Safety Communications and Apps

  • 5.1. Next Generation 9-1-1
  • 5.2. Improved Location Data: Proximity and Indoor Location
  • 5.3. Broadband: LTE, 5G, and Beyond
  • 5.4. Augmented Reality (AR) in Public Safety
  • 5.5. Virtual Reality in Public Safety
  • 5.6. Integrated Wireless Devices, Communications, and Apps
    • 5.6.1. Rich Communications Suite (RCS)
    • 5.6.2. Web Real-time Communications (WebRTC)

6. Next Generation Big Data Analytics and Public Safety

7. Internet of Things (IoT) and Next Generation Public Safety Systems

8. US Public Safety Forecasts 2016-2020

  • 8.1. Overall Public Safety IT Spending
    • 8.1.1. Telecom Services and Equipment
    • 8.1.2. Network Hardware
    • 8.1.3. Computer Hardware
    • 8.1.4. IT Personnel
    • 8.1.5. Services and Support
    • 8.1.6. Public Safety Applications
  • 8.2. Public Safety Device Spending
    • 8.2.1. Radio-based Devices
    • 8.2.2. Cellular-based Device
    • 8.2.3. Ruggedized Device
    • 8.2.4. Pagers
    • 8.2.5. Satellite Phones
    • 8.2.6. Computers Stationary Rugged Vehicle Mount
    • 8.2.7. Video
    • 8.2.8. LMR Accessories
  • 8.3. Public Safety Spending by Segment
    • 8.3.1. Law Enforcement
    • 8.3.2. Fire Response
    • 8.3.3. Emergency Medical Services and Other

9. Summary and Recommendations

Figures

  • Figure 1: Applications for Public Safety
  • Figure 2: PSAP User Interface
  • Figure 3: PSAP Equipment and Interfaces
  • Figure 4: GIS Features and Mapping
  • Figure 5: GIS Spatial Analysis
  • Figure 6: GIS Spatial Analysis Techniques
  • Figure 7: Vector vs. Raster Representation
  • Figure 8: Special Raster Data Models
  • Figure 9: Data Layering in GIS
  • Figure 10: GIS Data Processing
  • Figure 11: Cell Level Positioning Technology
  • Figure 12: Assisted GPS Technology
  • Figure 13: AFLT Technology
  • Figure 14: LTE for Public Safety Communications Regional Share 2020
  • Figure 15: Global Public Safety LTE Revenue 2016-2020
  • Figure 16: Network Architecture for LMR/PMR and LTE
  • Figure 17: Public Safety Solutions
  • Figure 18: Public Safety Mission Critical Broadband
  • Figure 19: Indoor/Outdoor and 2D vs. 3D Positioning Technology Comparison
  • Figure 20: Augmented Reality in Law Enforcement
  • Figure 21: Augmented Reality in Police Response
  • Figure 22: Augmented Reality and Coordinated Response
  • Figure 23: Augmented Reality facilitates Criminal Capture
  • Figure 24: WebRTC Value Chain
  • Figure 25: Global WebRTC Revenue 2016-2020
  • Figure 26: Regional WebRTC Revenue 2016-2020
  • Figure 27: North America WebRTC Revenue
  • Figure 28: Carrier-driven WebRTC Users 2016-2020
  • Figure 29: Overall Public Safety IT Spending 2016-2020
  • Figure 30: Public Safety Telecom and Services Equipment 2016-2020
  • Figure 31: Public Safety Network Hardware 2016-2020
  • Figure 32: Public Safety Computer Hardware 2016-2020
  • Figure 33: Public Safety IT Personnel 2016-2020
  • Figure 34: Public Safety Services and Support 2016-2020
  • Figure 35: Public Safety Applications 2016-2020
  • Figure 36: Overall Public Safety Device Spending 2016-2020
  • Figure 37: Public Safety Radio-based Devices 2016-2020
  • Figure 38: Public Safety Cellular-based Devices 2016-2020
  • Figure 39: Public Safety Ruggedized Devices 2016-2020
  • Figure 40: Public Safety Pagers 2016-2020
  • Figure 41: Satellite Devices for Public Safety 2016-2020
  • Figure 42: Vehicle Mounted Public Safety Devices 2016-2020
  • Figure 43: Public Safety Video Devices 2016-2020
  • Figure 44: Public Safety LMR Devices 2016-2020
  • Figure 45: Public Safety Spending in Law Enforcement 2016-2020
  • Figure 46: Public Safety Spending in Fire Response 2016-2020
  • Figure 47: Public Safety Spending in EMS 2016 - 2020

Artificial Intelligence Impact on Public Safety, Security and Privacy

1. Artificial Intelligence (AI) Overview

  • 1.1. Evolution of AI
  • 1.2. Technology Goal of AI
  • 1.3. AI Tools
  • 1.4. AI Enabled Enterprise Applications
  • 1.5. AI in Intelligent Assistants and Analytics
  • 1.6. AI in Industry Challenges: Safety, Security, Privacy, and Ethics
  • 1.7. Important Safety and Security Issues with AI

2. Impact of AI on Public Safety, Security, and Privacy

  • 2.1. Removing Biasness of Human-Decision Making
  • 2.2. Solving White Collar Crime
  • 2.3. Improving Cybersecurity
  • 2.4. Predictive Policing
  • 2.5. Border Surveillance
  • 2.6. Terrorism Detection and Prevention
  • 2.7. Home and Service Robots
  • 2.8. Machine Self-Control and Self-healing
  • 2.9. AI and the Public Good
  • 2.10. Governance and Safety
  • 2.11. Safety and Control Measures
  • 2.12. Safety Engineering
  • 2.13. Autonomous Vehicles and Aircraft
  • 2.14. Weapons Systems
  • 2.15. Workplace Safety
  • 2.16. Healthcare Data Privacy

3. AI Public Safety, Security and Privacy Initiatives and Programs

  • 3.1. US Transportation Security Administration (TSA) DARMS
  • 3.2. New York Police Department (NYPD) CompStat
  • 3.3. European Union LawTrain
  • 3.4. DARPA Education Dominance Program
  • 3.5. Government Initiative in US, UK, Canada, Japan, Singapore, and South Korea
  • 3.6. Formation of Artificial Intelligence (AI) Alliance
    • 3.6.1. Amazon, Facebook, Google, IBM, and Microsoft
    • 3.6.2. Alexa Skill Integration with Macadamian
  • 3.7. Apple Siri and Embedded Strategy
  • 3.8. Google Inc.
    • 3.8.1. Google Assistant and Embedded Strategy
    • 3.8.2. Google Home
    • 3.8.3. DeepMind Acquisition and DeepMind Lab
  • 3.9. IBM Watson
  • 3.10. Intel Corporation
    • 3.10.1. Digital Personal Assistant for the Enterprise
    • 3.10.2. Intel AI Acquisition Strategy
    • 3.10.3. Intel Ginger
    • 3.10.4. Next gen AI Chip Strategy
  • 3.11. Microsoft Corporation
    • 3.11.1. Microsoft Cortana
    • 3.11.2. Genee and Other Acquisition Strategy
    • 3.11.3. Microsoft AI and Research Group
    • 3.11.4. Industry collaboration
  • 3.12. Next IT Corporation
    • 3.12.1. Workforce Support
    • 3.12.2. Next IT Healthcare
  • 3.13. Nuance Communications, Inc.
    • 3.13.1. Virtual Assistant and Speech Recognition
    • 3.13.2. Nuance Healthcare
    • 3.13.3. Nina Intelligent Virtual Assistant
    • 3.13.4. Acquisition Strategy
  • 3.14. Oracle Corporation AI
  • 3.15. InteliWISE SA eGOV
  • 3.16. Facebook Inc.
    • 3.16.1. Facebook M
    • 3.16.2. DeepText: Text Understanding Engine
    • 3.16.3. Third Party Integration
    • 3.16.4. Facebook Jarvis
  • 3.17. Salesforce.com
    • 3.17.1. Einstein
    • 3.17.2. AI Acquisition Strategy
  • 3.18. Amazon.com Inc.
    • 3.18.1. Amazon Alexa Voice
    • 3.18.2. Amazon Echo
  • 3.19. General Electric (GE) Solution
  • 3.20. SK Telecom Co, Ltd.
    • 3.20.1. NUGU
    • 3.20.2. Inclusion of Conexant Systems AI Capabilities
  • 3.21. motion.ai
  • 3.22. Buddy

4. AI Public Policy and Regulations

  • 4.1. Security and Privacy
  • 4.2. Innovation Policy
  • 4.3. Civil Liability
  • 4.4. Criminal Liability
  • 4.5. Agency and Certification
  • 4.6. Labor and Taxation
  • 4.7. Politics
  • 4.8. Privacy and Ethics

5. Guidelines for Future Consideration

  • 5.1. Guidelines for the Future
  • 5.2. Global Considerations
  • 5.3. Ethical and Legal Considerations
  • 5.4. Role of Professional Associations
  • 5.5. Role of Government
  • 5.6. Role of Educational Institutes
  • 5.7. Recommendation for Businesses

Appendix

  • i. AI, Automation, and Economic Impact
  • ii. Cognitive System and Content Analytics Software, Equity Financing, and AI Patent
  • iii. AI Software and Analytics Market 2017-2022
  • iv. AI Public Safety Software Market
  • v. AI Software and Analytics by Core Technology
  • vi. AI Fraud Detection, Risk Management, and Automated Planning
  • vii. Intelligent Virtual Agent/Advisor Application Market

Figures

  • Figure 1: AI Technology Goals and Tools
  • Figure 2: AI Assistant and Smart Advisor Ecosystem
  • Figure 3: Cognitive System and Content Analytics Software Market 2017-2022
  • Figure 4: AI Software and Analytics Market 2017-2022
  • Figure 5: AI Software and Analytics Market in Public Safety Applications 2017-2022
  • Figure 6: Intelligent Virtual Agent and Smart Advisor Market

Tables

  • Table 1: Global Economic Transactions by AI Agents 2018-2021
  • Table 2: AI Software and Analytics by Core Technology 2017-2022
  • Table 3: AI Software & Analytics by Fraud Detection, Risk Management, and Automated Planning 2017-2022

Roadmap to 5G: Evolution of 4G, 5G Architecture, Network Strategy and Planning

1. Introduction

  • 1.1. 5G Technologies
  • 1.2. Mobile Spectrum Evolution
    • 1.2.1. 1G-2G-3G-4G
    • 1.2.2. 4G-4.5G-4.5G Pro-4.9G-5G
  • 1.3. 5G Spectrum Options and Utilization via Low Bands, Mid Bands, and High Bands
  • 1.4. 5G Ecosystem Architecture and Planning
  • 1.5. 5G Ecosystem Planning: Societal vs. Technology Considerations

2. 5G Technology: Network Planning, Implementation, and Applications

  • 2.1. 5G Network Planning and Strategic Consideration
    • 2.1.1. LTE Foundation, Device Ecosystem, LAA, and 5G Readiness
    • 2.1.2. Spectrum Sharing and Utilization
    • 2.1.3. Narrowband 5G for Massive IoT
    • 2.1.4. Multi Connectivity Architecture with Small Cell Deployment
    • 2.1.5. Relevance of Mobile IoT Technology: NB-IoT and eMTC
    • 2.1.6. OSS/BSS Architecture for 5G Service Operation
    • 2.1.7. Multi-Antenna and Beamforming Impact
    • 2.1.8. End to End Network Slicing with NFV and SDN
    • 2.1.9. LTE Continuation in 5G Era
    • 2.1.10. Service Design, ROI and 5G Network
  • 2.2. 5G Technology Requirement and Network Impact
    • 2.2.1. Network Coverage and Efficiency
    • 2.2.2. Network Spectrum Efficiency
    • 2.2.3. Data Throughput
    • 2.2.4. Connection Density
    • 2.2.5. UR-LLC (Ultra-Reliable Low Latency Communication)
    • 2.2.6. Network Energy Usage
    • 2.2.7. Improved Battery Life
    • 2.2.8. Improved Flexibility in Air Interface and Versatility
    • 2.2.9. Massive MIMO
    • 2.2.10. mmWave Technology
    • 2.2.11. Integration of Access and Backhaul
    • 2.2.12. D2D Communication
    • 2.2.13. Flexible Duplex: FDD and TDD
    • 2.2.14. Multi-Antenna Transmission Scenario
    • 2.2.15. Decoupling User Data from Control System
  • 2.3. 5G Technology and Network Architecture
    • 2.3.1. Massive MIMO and Beamforming
    • 2.3.2. Cloud RAN
    • 2.3.3. Broadband Spectrum and Satellite
    • 2.3.4. 5G New Radio (NR)
    • 2.3.5. Software Defined Air Interface
    • 2.3.6. Network Function Virtualization (NFV)
    • 2.3.7. Self Organizing Network (SON) and Self Healing Network (SHN)
    • 2.3.8. HetNet and H-CRAN
    • 2.3.9. Large-Scale Cooperative Spatial Signal Processing (LS-CSSP)
    • 2.3.10. Software Defined Radio (SDR)
    • 2.3.11. Visible Light Communications (VLCs)
    • 2.3.12. Cross Layer Controller
    • 2.3.13. Cognitive Radios (CRs) and Transmission Technologies
    • 2.3.14. Scalable OFDM and Subcarrier Spacing
  • 2.4. 5G Network Implementation
    • 2.4.1. Base Stations
    • 2.4.2. Small Cells
    • 2.4.3. Macro Cells
    • 2.4.4. Baseband Units and RF Units
    • 2.4.5. Mobile Core
    • 2.4.6. Remote Radio Heads
    • 2.4.7. Front-haul and Backhaul Networks
  • 2.5. Strategic Relevance of 4.5G, 4.5G Pro, and 4.9G
    • 2.5.1. Mobile IoT and M2M Communication
    • 2.5.2. Broadcast Services and Immersive Entertainment
    • 2.5.3. Vehicular Communication
    • 2.5.4. Public Safety Network
    • 2.5.5. Smart City Applications
    • 2.5.6. Private Enterprise Network

3. 5G Initiatives, R&D, and Field Trials

  • 3.1. 5G Strategic Initiatives in Region
    • 3.1.1. Asia
      • 3.1.1.1. China
        • 3.1.1.1.1. IMT-2020 Promotion Group
        • 3.1.1.1.2. China National Key Project on 5G
      • 3.1.1.2. South Korea
      • 3.1.1.3. Japan
    • 3.1.2. Europe
      • 3.1.2.1. European Union Framework Project 7(FP7)
      • 3.1.2.2. European Union Framework Project 8(FP8) /Horizon 2020
      • 3.1.2.3. Celtic Plus
      • 3.1.2.4. EIT and Other projects
    • 3.1.3. America
  • 3.2. 5G Standardization Initiative and Development
    • 3.2.1. 3GPP
    • 3.2.2. 5G Americas
    • 3.2.3. ATIS
    • 3.2.4. GSMA
    • 3.2.5. IEEE
    • 3.2.6. ITU
    • 3.2.7. NGMN
    • 3.2.8. TIA
    • 3.2.9. FCC TAC
  • 3.3. 5G Trial by Mobile Operators
  • 3.4. 5G Spectrum Aspects
    • 3.4.1. WRC-15 & 19
    • 3.4.2. FCC
    • 3.4.3. 5G Americas
    • 3.4.4. CITEL
    • 3.4.5. ITU
    • 3.4.6. GSMA
    • 3.4.7. GSA

4. Conclusions and Recommendations

5. Appendix: Supporting Technologies

Figures

  • Figure 1: 5G Network Features and Underlying Benefits
  • Figure 2: 4G Spectrum Evolution: 1G-2G-3G-4G
  • Figure 3: 5G Spectrum Evolution: 4G-4.5G-4.5G Pro-4.9G-5G
  • Figure 4: 5G Ecosystem Architecture Components
  • Figure 5: LTE Foundation Architecture: LTE Advanced and LTE Advanced Pro 3
  • Figure 6: Licensed Assisted Access (LAA) Uplink Cell Range in Small Cells
  • Figure 7: Architecture of Shared Spectrum
  • Figure 8: Spectrum Sharing Prototype on LTE-U/LAA, LWA, CBRS/LSA and MultiFire
  • Figure 9: Narrowband 5G Path and Standard Release for Massive IoT 42
  • Figure 10: Multi-Connectivity Structure deployed over Small Cell and Macro
  • Figure 11: Next Generation OSS/BSS Architecture
  • Figure 12: Massive Element Antenna in Combination of Phantom Cell and Massive MIMO
  • Figure 13: Multiple Antenna and Beamforming Impact
  • Figure 14: Bandwidth and Latency Requirements for 5G Use Cases
  • Figure 15: WRC 15 and WRC 19 Spectrum Issues in 5G Network
  • Figure 16: IMT 2020 Requirements for URLLC
  • Figure 17: Flexible Unified Radio Interface for TTI, Integrated Sub-frame, and Dynamic Uplink and Downlink
  • Figure 18: Massive MIMO Concept
  • Figure 19: Massive MIMO: LTE Network to 5G NR Rel. 15
  • Figure 20: High Spectrum Band at Massive MIMO
  • Figure 21: Cloud RAN Architecture
  • Figure 22: Role of Satellite in 5G Communication System
  • Figure 23: 5G New Radio (NR) Release Timeline
  • Figure 24: Technology Requirements of 5G NR Standards
  • Figure 25: Enabling Technology of 5G NR
  • Figure 26: Mobile Broadband Performance Target in 5G NR
  • Figure 27: Virtual Cell and UE Centric Mobility in 5G NR
  • Figure 28: Self-Contained Sub-Frame Design Structure
  • Figure 29: NFV in H-RAN Solution
  • Figure 30: Self-Organizing Networks (SONs) in H-RAN
  • Figure 31: H-RAN Application in 5G Systems
  • Figure 32: Centralized LS-CSSP Structure
  • Figure 33: Hybrid Architecture of SDN and SDR in 5G Network
  • Figure 34: Windowed OFDM Structure
  • Figure 35: Subcarrier Spacing Bandwidth Structure using FDD & TDD
  • Figure 36: Mobile IoT Technology and Equipment Categories over 4G and 4.5G
  • Figure 37: SDL Carrier over LTE Broadcast Service
  • Figure 38: Multi-Carrier Deployment with LTE Broadcast Carrier
  • Figure 39: Public Safety Scenario over LTE Network
  • Figure 40: IMT-2020 Timeline and Process
  • Figure 41: Requirements of IMT-2020
  • Figure 42: 3GPP SMARTER Service Dimensions
  • Figure 43: 3GPP Planned Release Timeline and Technical Specification
  • Figure 44: IMT-2020 Standardization Timeline
  • Figure 45: NGMN 5G Initiative Timeline 1

Tables

  • Table 1: Comparison of 5G Spectrum Bands: Low vs. Mid vs. High Bands
  • Table 2: Components and Functions of OSS & BSS
  • Table 3: 5G Objectives, Targets, and Technology Efforts
  • Table 4: European Union FP7 5G Projects
  • Table 5: 5G-PPP Projects Call-1 131
  • Table 6: 5GrEEn and 5GIC Projects in EU
  • Table 7: 5G Project Initiatives in United States
  • Table 8: Mobile Operators Conducting 5G Trials
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