
Advanced Wireless Communication Systems: A Comprehensive Guide
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Content
- Cover
- Title
- Copyright
- License
- Contents
- Foreword
- Preface
- List of Contributors
- Introduction to Advanced Wireless Communication Systems
- Sandeep Kumar Singh1,*
- INTRODUCTION
- Early Beginnings
- Development of Cellular Networks
- CURRENT CHALLENGES AND TRENDS
- Spectrum Scarcity and Management
- Causes of Spectrum Scarcity
- Spectrum Management Techniques
- Impact on Future Wireless Communication Systems
- Energy Efficiency
- Importance of Energy Efficiency
- Key Challenges in Achieving Energy Efficiency
- Security and Privacy
- Key Security Issues
- Integration with Emerging Technologies
- Network Densification
- Standardization and Interoperability
- FUTURE OUTLOOK
- CONCLUDING REMARKS
- REFERENCES
- Regulations and Standards in Wireless Communication
- Sandeep Kumar Singh1,*
- INTRODUCTION
- INTERNATIONAL REGULATIONS
- Role of ITU in Spectrum Management
- Global Spectrum Allocations
- Cross-Border Interference and Coordination
- Case Studies on International Spectrum Management
- NATIONAL REGULATIONS
- WIRELESS COMMUNICATION STANDARDS
- GSM (Global System for Mobile Communications)
- CDMA2000 (IS-95)
- WCDMA (UMTS)
- Challenges and Future Directions
- Future Directions
- LTE (Long-Term Evolution)
- 5G and Beyond: Next-Generation Wireless Standards
- CONCLUDING REMARKS
- REFERENCES
- Wireless Channel Modeling and Simulation
- Sandeep Kumar Singh1,*
- INTRODUCTION
- Free Space Path Loss Model
- Practical Path Loss Models
- Shadowing Effects
- Combined Path Loss and Shadowing Models
- Advanced Path Loss Models
- MULTIPATH FADING AND RAYLEIGH/RICIAN MODELS
- Introduction to Multipath Fading
- Rayleigh Fading Model
- Rician Fading Model
- Time and Frequency Selective Fading
- Fading Countermeasures
- MIMO (MULTIPLE-INPUT MULTIPLE-OUTPUT) CHANNEL MODELS
- Introduction to MIMO Technology
- MIMO Channel Modeling
- Key MIMO Techniques
- DIVERSITY TECHNIQUES IN MIMO SYSTEMS
- MIMO in Modern Wireless Standards
- Simulation of MIMO Systems
- Simulation Tools and Techniques
- Introduction to Wireless Simulation
- Popular Simulation Tools
- Simulation Methodologies
- Advanced Simulation Techniques
- Challenges and Future Trends in Simulation
- CONCLUDING REMARKS
- CONSENT FOR PUBLICATION
- CONFLICT OF INTEREST
- ACKNOWLEDGEMENTS
- REFERENCES
- Wireless Networks
- Amit Agarwal1,*
- INTRODUCTION
- WIRELESS PERSONAL AREA NETWORK (WPAN)
- Bluetooth Network
- Architecture
- Throughputs and Versions
- Physical Channels and Physical Layer
- ZigBee
- IEEE 802.15.4
- Zigbee Features
- Zigbee Communication Steps
- WIRELESS AREA NETWORK (WLAN)
- Wi-Fi 5: 802.11 ac
- Operating Frequency Band
- Higher Modulation and Coding Scheme
- Feedback of Channel State Information for multi-user Beamforming
- Spatial Multiplexing
- 802.11ax: The Sixth Generation of Wi-Fi
- WIRELESS WIDE AREA NETWORK (WWAN)
- Cellular:1/2/3/4/5 G
- Evolution of Cellular Networks
- Low-Powered WAN (LPWAN)
- Advantages of LPWAN Technologies
- CASE STUDIES: REAL-WORLD APPLICATIONS
- CONCLUDING REMARKS
- REFERENCES
- Advanced Wireless Communication Systems
- Amit Agarwal1,*
- INTRODUCTION
- MIMO SYSTEMS
- OFDM SYSTEMS
- FREE SPACE OPTICAL COMMUNICATION
- OTHER PARADIGM SHIFT TECHNOLOGIES: MMWAVE AND TERA HZ COMMUNICATION
- Facilitating PHY-layer Transmission Solutions for mmWave
- CONCLUDING REMARKS
- REFERENCES
- Security and Privacy in Wireless Communication
- Ravikant Saini1,*, Insha Amin1 and Deepak Mishra2
- INTRODUCTION
- SECURITY CONCERNS IN WIRELESS COMMUNICATION
- SUCCESSIVE INTERFERENCE CANCELLATION (SIC) WITH UNTRUSTED USERS
- SECURE RESOURCE ALLOCATION IN COOPERATIVE NOMA NETWORKS
- NUMERICAL RESULTS AND DISCUSSION
- FUTURE RESEARCH DIRECTIONS
- CONCLUDING REMARKS
- REFERENCES
- Future Trends in Wireless Communication
- Sandeep Kumar Singh1,*
- INTRODUCTION
- Overview of Emerging Trends
- Importance of Innovation
- Massive MIMO and Beamforming
- Introduction to Massive MIMO
- Evolution from Traditional MIMO
- Spatial Multiplexing and Diversity in Massive MIMO
- Challenges in Massive MIMO
- Applications and Case Studies
- Future Directions
- MMWAVE COMMUNICATIONS
- Introduction to mmWave Technology
- Integration with 5G Networks: Integration into 5G NR (New Radio)
- Future Research in mmWave
- COGNITIVE RADIO AND DYNAMIC SPECTRUM ACCESS
- Introduction to Cognitive Radio
- Dynamic Spectrum Access (DSA)
- Challenges and Security Concerns
- Applications and Future Trends
- VEHICULAR COMMUNICATION SYSTEMS
- Introduction to V2X Communication
- Technologies Enabling V2X
- Autonomous Vehicles and Communication
- Future Trends in Vehicular Communication
- 6G AND BEYOND: ENVISIONING THE FUTURE
- Introduction to 6G
- Potential Applications of 6G
- Beyond 6G: Speculating on the Future
- Emerging Use Cases of 6G Technologies
- Regulatory Challenges in 6G Adoption
- CONCLUDING REMARKS
- REFERENCES
- Case Studies and Practical Applications of Wireless Communication
- Sandeep Kumar Singh1,*
- WIRELESS COMMUNICATION IN SMART CITIES
- INTRODUCTION
- Key Technologies: IoT, 5G, LPWAN, Wi-Fi, and Emerging Technologies
- Smart City Architecture and Wireless Infrastructure
- Smart City Layers: Sensing Layer, Network Layer, Application Layer
- Wireless Infrastructure: Integration of 5G, IoT, and LPWAN
- Edge and Cloud Computing: Role in Processing and Data Management
- Wireless Technologies in Smart Cities
- IoT Networks: LPWAN (LoRa, Sigfox), Zigbee, and NB-IoT
- 5G and Beyond: Impact of 5G on Smart Cities and Future Trends
- Wi-Fi and Public Networks: Deployment Strategies in Urban Areas
- Case Studies
- Singapore: Smart Nation Initiative-Wireless Infrastructure
- Barcelona: IoT Deployment, Smart Grids, and Urban Mobility
- Dubai: Use of AI and 5G in City Management
- LPWAN in Disaster Management
- Challenges and Solutions
- Scalability: Handling Millions of Connected Devices
- Security: Protecting Data and Infrastructure
- Interoperability: Integrating Multiple Wireless Standards
- Future Directions
- WIRELESS NETWORKS FOR INDUSTRIAL AUTOMATION
- Introduction
- Impact on Manufacturing, Logistics, and Supply Chain Management
- Industrial Wireless Networks
- Wireless Protocols: Wi-Fi, Zigbee, Bluetooth, and 5G in Industrial Automation
- Low Latency Requirements: Real-Time Communication Needs
- Applications of Wireless in Industry
- Smart Factories: Automation, Robotics, and Wireless Control Systems
- Predictive Maintenance: IoT Sensors and Wireless Data Collection
- Advanced Sensor Technologies in Predictive Maintenance
- Wireless Communication Protocols for Predictive Maintenance
- AI-Driven Predictive Analytics
- Supply Chain Management: RFID, GPS, and Wireless Tracking Systems
- Case Studies
- Siemens: Wireless Automation in Manufacturing Plants
- General Electric: IoT and Wireless Monitoring in Industrial Operations
- Bosch: Smart Sensors and Wireless Networks in Automotive Manufacturing
- WIRELESS HEALTHCARE SYSTEMS
- Introduction
- Key Applications
- Wireless Healthcare Infrastructure
- Applications in Healthcare
- Case Studies
- WIRELESS SECURITY AND PRIVACY CONSIDERATIONS
- Introduction
- Wireless Security Challenges
- Wireless Security Solutions
- Case Studies
- CONCLUDING REMARKS
- REFERENCES
- Machine Learning-Driven Network Slicing for 5G: Enhancing QoS Management through Predictive Modeling
- Ayush1 and Sandeep Kumar Singh1,*
- INTRODUCTION
- METHODOLOGY
- ADVANCED MACHINE LEARNING MODELS
- UNVEILING THE COMPLEXITIES OF 5G NETWORKS: INSIGHTS AND DISCOVERIES
- CHALLENGES IN MACHINE LEARNING DEPLOYMENT FOR 5G: OVERFITTING AND REAL-TIME CONSTRAINTS
- Overfitting in High-Dimensional Datasets
- Deployment of ML in Real-Time 5G Networks
- CONCLUDING REMARKS
- REFERENCES
- Analysis of Latency Optimization for URLLC in 5G NR
- Akshit Dogra1 and Sandeep Kumar Singh1,*
- INTRODUCTION
- APPROACHES TO CONTROL LATENCY IN 5G
- GRANT-FREE SCHEDULING APPROACH IN 5G
- ANALYSIS OF METHODOLOGY BASED ON GRANT-FREE SCHEDULING ACCESS
- CONCLUDING REMARKS
- CONSENT FOR PUBLICATION
- CONFLICT OF INTEREST
- ACKNOWLEDGEMENTS
- REFERENCES
- Unlocking the Potential of 5G-Cognitive Radio Network Applications
- R. Dayana1,*, P. Bharathi2, Dhinakaran Vijayalakshmi1, S. Krithiga1, K. Vadivukkarasi1 and P. Malarvezhi3
- INTRODUCTION
- 5G-SERVICES
- NEXT GENERATION WAVEFORMS -5G
- COGNITIVE RADIO NETWORKS (CRN)
- TYPES OF SPECTRUM SENSING TECHNIQUES
- APPLICATIONS OF 5G (USE CASES)
- CONCLUDING REMARKS
- REFERENCES
- Noncoherent Wireless Systems for 5G and Beyond
- Badri Ramanjaneya Reddy1 and Soumya Prakash Dash1,*
- INTRODUCTION
- Noncoherent Communications
- CHANNELS WITH PROMINENT LOS FOR WIRELESS COMMUNICATIONS
- Rician Fading Model
- The Additive Noise
- ADAPTABILITY OF MULTI-LEVEL ASK IN NONCOHERENT COMMUNICATION
- Recent Developments in Noncoherent Communication
- NONCOHERENT COMMUNICATION IN 5G DENSE NETWORKS: CHALLENGES AND SOLUTIONS
- NONCOHERENT SIMO SYSTEM MODEL
- Symbol Error Probability Analysis
- SEP Analysis for Large SIMO Systems
- SEP Approximation at High SNR
- Optimization of ASK Modulations
- NUMERICAL RESULTS
- Numerical Results for One-Sided ASK Constellation
- Numerical Results for Two-Sided ASK Constellation
- CONCLUDING REMARKS
- REFERENCES
- Subject Index
- Back Cover
Introduction to Advanced Wireless Communication Systems
Sandeep Kumar Singh1, *
1 Department of Electronics and Communication Engineering, National Institute of Technology Hamirpur, Hamirpur 177005, Himachal Pradesh, India
Abstract
This chapter provides a comprehensive overview of the evolution of wireless communication technologies, tracing their development from early radio transmissions to the advanced 5G networks of today. The chapter begins by highlighting the pioneering work of Marconi and Tesla, whose early experiments laid the groundwork for modern wireless communication. It then delves into the advent of cellular networks, starting with the analog First-Generation (1G) systems and progressing to the digital Second-Generation (2G) networks, which introduced enhanced security and mobile data services. The rise of mobile internet with Third-Generation (3G) networks is discussed, emphasizing the role of technologies like UMTS and HSPA in enabling broadband access on mobile devices. The chapter also covers the transformative impact of Fourth-Generation (4G) networks, particularly LTE, which revolutionized mobile data speeds and efficiency, paving the way for widespread use of mobile applications and IoT devices. Finally, the chapter introduces Fifth-Generation (5G) networks, highlighting their potential to deliver ultra-fast data speeds, low latency, and support for emerging technologies like AR, VR, and autonomous systems. The chapter concludes by addressing current challenges in wireless communication, including spectrum scarcity, energy efficiency, security, and the integration of emerging technologies like AI and IoT.
Keywords: 3G/4G evolution, Artificial Intelligence (AI), Cellular networks, Energy efficiency, Internet of Things (IoT), LTE (Long Term Evolution), Millimeter-wave technology, Spectrum management, Spectrum scarcity, Wireless communication.* Corresponding author Sandeep Kumar Singh: Department of Electronics and Communication Engineering, National Institute of Technology Hamirpur, Hamirpur 177005, Himachal Pradesh, India; E-mail: sksingh@nith.ac.in
INTRODUCTION
Wireless communication has seen a remarkable evolution over the past few decades. From the early days of radio transmission to the sophisticated 5G
networks of today, the journey has been marked by significant technological advancements and groundbreaking innovations [1, 2].
Early Beginnings
The origins of wireless communication trace back to the late 19th and early 20th centuries, marked by the pioneering efforts of Guglielmo Marconi and Nikola Tesla, who demonstrated the possibility of transmitting signals without wires.
The groundwork for wireless communication theory was laid by James Clerk Maxwell in the 1860s through his formulation of the equations of electromagnetism. Maxwell's equations forecasted the presence of electromagnetic waves capable of traveling through space without requiring a physical medium. In the late 1880s, Heinrich Hertz experimentally validated Maxwell's predictions by creating and detecting electromagnetic waves, which eventually became known as radio waves. Hertz's experiments provided the necessary empirical evidence to substantiate the theoretical basis of wireless communication [1, 3].
Guglielmo Marconi is widely recognized for pioneering practical wireless telegraphy. However, prior to Marconi's achievements, Prof. Jagadish Chandra Bose had already demonstrated the wireless transmission of electromagnetic waves over short distances in the late 19th century, using millimeter waves and innovative semiconductor detectors. In 1895, Marconi successfully transmitted signals across several kilometers using basic radio transmitters and receivers. In 1901, he achieved a significant breakthrough by sending the first transatlantic radio signal from Cornwall, England, to Newfoundland, Canada. Marconi's approach involved a spark-gap transmitter that produced a series of damped waves. The receiver utilized a coherer, a device sensitive to radio waves, to detect these signals. Despite its simplicity, this system demonstrated the feasibility of long-distance wireless communication [3].
Nikola Tesla made substantial contributions to advancing wireless communication. During the 1890s, Tesla conducted experiments centered on high-frequency Alternating Current (AC) and the transmission of electrical energy without the need for physical wires. In 1893, he showcased wireless energy transmission at a public lecture in St. Louis, Missouri, employing his Tesla coil-a high-voltage, high-frequency transformer. Tesla envisioned a future where wireless transmission could supply both energy and communication over extensive distances [3].
Early Radio Broadcasting
From the technical development point of view, the 1920s marked the dawn of commercial radio broadcasting. KDKA in Pittsburgh, Pennsylvania, is frequently recognized as the first commercial radio station, beginning regular transmissions in 1920. These pioneering broadcasts featured news, music, and entertainment, captivating a wide audience and showcasing the immense potential of wireless communication as a medium for mass communication [1].
Fig. (1))The evolution of wireless technologies.
Development of Cellular Networks
The development of cellular networks marked a significant turning point in the history of wireless communication. These networks introduced a structured and scalable approach to mobile communication, addressing the limitations of earlier technologies and setting the stage for the mobile revolution. Engineers at Bell Labs introduced the concept of cellular networks in the 1940s. They proposed dividing a geographic area into small cells, each served by a distinct base station. This approach facilitated frequency reuse, allowing multiple users to utilize the same spectrum without causing interference. The cellular network architecture offered a scalable solution to accommodate a growing number of mobile users [1]. Fig. (1) shows the timeline that represents the evolution of wireless technology over time.
Fig. (2) shows the basic Cellular Network Structure. In Fig. (3), the geographic region is segmented into hexagonal cells, each containing its own base station. These cells are linked to a Mobile Switching Center (MSC), which handles communication between cells and connects to the Public Switched Telephone Network (PSTN).
First-Generation (1G) Systems
The First-Generation (1G) cellular systems, introduced in the 1980s, were analog and primarily focused on voice communication. Key examples of first-generation systems include:
- Advanced Mobile Phone System (AMPS): Developed by Bell Labs and launched in the United States in 1983, AMPS operated in the 800-900 MHz frequency band and allocated 30 kHz channels for each call. It used Frequency Modulation (FM) for transmitting voice signals. The system employed Frequency Division Multiple Access (FDMA) to separate calls on different frequency channels and employed a hexagonal cell structure for frequency reuse. Fig. (4) shows the concept of FDMA [1, 2].
- Nordic Mobile Telephone (NMT): Deployed in Nordic countries in 1981, NMT was one of the first commercial cellular systems and used FDMA for communication.
Basic cellular network structure. Fig. (3))
1G Radio Characteristics.
While 1G systems enabled mobile voice communication, they had several limitations, including low spectral efficiency, limited capacity, poor reliability, large phone size, poor battery life, and susceptibility to eavesdropping.
Second-Generation (2G) Systems
Second-Generation (2G) systems, introduced in the 1990s, marked the transition from analog to digital communication. Key 2G technologies include:
- Global System for Mobile Communications (GSM): Launched in Europe in 1991, GSM became the most widely adopted 2G technology. It used Time Division Multiple Access (TDMA) to divide each frequency channel into time slots, allowing multiple users to share the same frequency.
GSM operates in the 900 MHz and 1800 MHz frequency bands. It used Gaussian Minimum Shift Keying (GMSK) modulation and supported data services like Short Message Service (SMS) and circuit-switched data. GSM introduced encryption for secure communication and employed a hierarchical cell structure for efficient frequency reuse [1, 2]. Fig. (5) shows the frequency reuse concept used in 2G networks.
Fig. (4))Frequency reuse in 2G networks.
As shown in Fig. (4), the GSM...
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