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

  • ID: 4332798
  • Report
  • Region: Global
  • 453 Pages
  • Mind Commerce
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Advancements in LTE and the Introduction of 5G Communications Will Facilitate Many New and Improved Public Safety Applications

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  • Facebook Inc.
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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.

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Target Audience:

  • Telecom service providers
  • Public safety organizations
  • Artificial Intelligence companies
  • Cloud and IoT services companies
  • Broadband wireless infrastructure providers
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FEATURED COMPANIES

  • Airbus DS
  • Carousel Industries
  • Facebook Inc.
  • IBM
  • Intrado (West)
  • Next IT Corporation
  • MORE

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

List of 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

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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
 
List of 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

List of 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

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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
 
List of 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

List of 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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  • Airbus DS
  • Alcatel-Lucent
  • Amazon.com Inc.
  • Apple
  • Buddy
  • Carousel Industries
  • Cisco
  • DARPA Education Dominance Program
  • DeepMind
  • Ericsson
  • European Union LawTrain
  • Facebook Inc.
  • Formation of Artificial Intelligence (AI) Alliance
  • General Dynamics Corporation
  • General Electric (GE)
  • Google Inc.
  • Harris Corporation
  • Hitachi Technology
  • IBM
  • IBM Watson
  • Intel Corporation
  • InteliWISE SA eGOV
  • InterDigital
  • Intrado (West)
  • Lockheed Martin
  • Microsoft Corporation
  • motion.ai
  • Motorola Solutions
  • New York Police Department (NYPD) CompStat
  • Next IT Corporation
  • NICE
  • Nokia Networks
  • Northrop Grumman
  • Nuance Communications, Inc.
  • Oracle Corporation AI
  • Raytheon
  • Salesforce.com
  • SK Telecom Co, Ltd.
  • Telecommunications Systems Inc.
  • Thales
  • US Transportation Security Administration (TSA) DARMS
Note: Product cover images may vary from those shown
5 of 5
Note: Product cover images may vary from those shown
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