This book covers all areas of smart antennas, electromagnetic interference, and microwave antennas for wireless communications. Smart antennas or adaptive antennas are multi-antenna components on one or both sides of a radio communication connection, combined with advanced signal processing algorithms. They've evolved into a critical technology for third-generation and beyond mobile communication systems to meet their lofty capacity and performance targets. It seems that a significant capacity gain is achievable, particularly if they are employed on both sides of the connection. There are several essential characteristics of these systems that need scientific and technical investigation. Included in the book are beamforming, massive MIMO, network MIMO, mmwave transmission, compressive sensing, MIMO radar, sensor networks, vehicle-to-vehicle communication, location, and machine learning.
Author(s): S. Kannadhasan, R. Nagarajan, Alagar Karthick, Aritra Ghosh
Series: River Publishers Series in Communications
Edition: 1
Publisher: River Publishers
Year: 2023
Language: English
Pages: 237
Cover
Half-Title
RIVER PUBLISHERS SERIES IN COMMUNICATIONS AND NETWORKING
Title
Copyrights page
Contents
Preface
List of Contributors
List of Figures
List of Tables
List of Abbreviations
Chapter 1 Speech Signal Extraction from Transmitted Signal Using Multilevel Mixed Signal
1.1 Introduction
1.2 Literature Survey
1.2.1 The fast ICA algorithm revisited: Convergence analysis
1.2.2 FPGA implementation of IC algorithm for blind signal separation and noise cancelling
1.2.3 Subjective comparison and evaluation of speech enhancement algorithms
1.3 Proposed Systems
1.3.1 FASTICA using symmetric orthogonalization
1.3.2 FPGA implementation
1.4 Results and Discussion
Output Waveform
1.5 Conclusion
References
Chapter 2 High Performance Fiber-Wireless Uplink for CDMA 5G Networks Communication
2.1 Introduction
2.2 Proposed Method
2.2.1 OFDM
2.2.2 OFDMA
2.2.3 CDMA
2.2.4 Optical fiber channel
2.2.5 The disadvantages of the existing system
2.3 Results and Discussion
2.3.1 Inference 1
2.3.2 Inference 2
2.3.3 Inference 3
2.3.4 Inference 4
2.3.5 Inference 5
2.3.6 Inference 6
2.3.7 Inference 7
2.4 Conclusion
References
Chapter 3 Improving the Performance of Cooperative Transmission Protocol Using Bidirectional Relays and Multi User Detection
3.1 Introduction
3.2 Components of Communication System
3.3 Proposed System
3.4 System Design and Development
3.4.1 Input design
3.4.2 Feasibility analysis
3.4.2.1 Operational feasibility
3.4.2.2 Technical feasibility
3.4.2.3 Economical feasibility
3.4.2.4 Project modules
3.5 Output Design
3.5.1 Animator output
3.5.2 Initialization of nodes
3.5.3 Node 1 starts transmitting data
3.5.4 Finding shortest path
3.5.5 Transmission of data through relay node
3.5.6 Node 8 starts transmitting data
3.5.7 Loss of packets
3.5.8 Transmissions of data from node 7 to node 6
3.5.9 Transmision of data from node 2 to node 4
3.5.10 Transmission of data bidirectionally
3.5.11 Completion of transmission from node 8 to 0
3.5.12 Coverage provided by dynamic base station
3.5.13 Retransmission of dropped packets
3.5.14 Reception of acknowledgement
3.5.15 X graph for lifetime
3.5.16 X graph for output
3.6 Conclusion
References
Chapter 4 Joint Relay-source Escalation for SINR Maximization in Multi Relay Networks and Multi Antenna
4.1 Main Text
4.2 Proposed System
4.2.1 System model
4.2.2 SINR maximization under relay transmit power and source constraints
4.2.3 Source-relay transmit power minimization under QoS constraints
4.2.4 Computation of relay precoder
4.2.5 Feasibility of the problem
4.3 Advantage
4.4 Application
4.5 Result and Discussion
4.5.1 Tools used
4.5.2 Simulated results
4.6 Conclusion
References
Chapter 5 VLSI Implementation on MIMO Structure Using Modified Sphere Decoding Algorithms
5.1 Introduction
5.2 Proposed Methodology
5.2.1 VB decoding algorithm
5.2.2 SE decoding algorithm
5.2.3 SOC architecture on FPGA
5.3 Result and Conclusion
5.4 Conclusion
References
Chapter 6 Overcrowding Cell Interference Detection and Mitigation in a Multiple Networking Environment
6.1 Introduction
6.2 Proposed System
6.3 OFDMA and SCFDMA
6.4 Results and Discussion
6.4.1 BER–SNR graph of two users
6.4.2 BLER–SNR graph of two user
6.4.3 SE-SNR graph
6.5 Comparison of Detector Performance as a Result of Shot Interference
6.6 BER–SNR Graph of Different Detectors
6.7 Channel MSE–ESN0 Graph
6.8 Conclusion
References
Chapter 7 A Baseband Transceiver for MIMO-OFDMA in Spatial Multiplexing Using Modified V-BLAST Algorithm
7.1 Introduction
7.1.1 OFDM modulation
7.1.2 FDMA
7.1.3 OFDMA
7.1.4 MIMO OFDM
7.2 Existing Method
7.2.1 Synchronization algorithms for MIMO OFDMA systems
7.3 MIMO Transceiver
7.4 Proposed Method
7.4.1 Module description
7.4.2 Proposed modified V-BLAST algorithm
7.5 Result and Discussion
7.6 Conclusion
References
Chapter 8 Hardware Implementation of OFDM Transceiver Using Simulink Blocks for MIMO Systems
8.1 Introduction
8.2 Existing System
8.2.1 Fast ICA
8.2.2 Efficient variant of fast ICA algorithm (EFICA)
8.2.3 Sphere decoding algorithm
8.3 Proposed System
8.4 MIMO-OFDM
8.5 Channel Estimation (CE)
8.6 Flow Diagram
8.6.1 Input sample
8.6.2 Serial to parallel converter
8.6.3 AWGN channel
8.6.4 Mapper
8.6.5 FFT block
8.6.6 IFFT block
8.6.7 BER
8.7 Module Explanation
8.7.1 OFDM modulation/demodulation
8.7.2 FFT/IFFT block
8.7.3 OFDM transmitter
8.7.4 OFDM receiver
8.8 Results and Discussion
8.8.1 Selection of voice source
8.8.2 MIMO block design process
8.8.3 Synthesis process
8.8.4 RTL schematic
8.8.5 Technology schematic
8.8.6 Power estimation
8.8.7 Static power
8.8.8 Power estimation
8.9 Conclusion and Future Work
References
Chapter 9 Empowering Radio Resource Allocation to Multicast Transmission System Using Low Complexity Algorithm in OFDM System
9.1 Introduction
9.2 Existing System
9.2.1 Conventional multicast scheme
9.2.2 Radio resource management (RRM) algorithm
9.3 Proposed System
9.4 Multi Rate Scheme
9.4.1 OFDMA framework
9.4.2 Utilisation of resources depending upon subgroups
9.4.3 Channel state information (CSI)
9.4.4 Signal to interference plus noise ratio (SINR)
9.5 Frequency Domain Subgroup Algorithm (FAST)
9.6 Results and Discussions
9.6.1 Separate cell’s creation
9.6.2 After every round, the average energy in each user
9.6.3 Power allocation to each and every subgroup
9.6.4 Capacity allocation and allocation of LAMDA
9.6.5 The performances estimation of various parameters
9.7 Conclusion
References
Chapter 10 Survey on RF Coils for MRI Diagnosis System
10.1 Introduction
10.2 Survey of Literature
10.2.1 Design of transceiver RF coils
10.2.2 The development of RF based MRI coils
10.2.3 Research development of industry version of MRI coils
10.3 Proposed Methodology
10.3.1 A design a coils by meta-materials
10.3.2 Implementation using big data digitizationanalysis through wireless networks
10.3.3 To design a flexible adaptive multituned RF coils
10.4 Conclusion
References
Chapter 11 Wireless Sensing Based Solar Tracking System Using Machine Learning
11.1 Introduction
11.1.1 Purpose
11.1.2 Overview
11.2 Solar Tracking System
11.2.1 Architectural description
11.2.2 Main components
11.2.2.1 Servomotor
11.2.2.2 LDR
11.2.2.3 Solar panel
11.2.4 Limitations
11.2.5 Dependencies and assumptions
11.2.6 Specifications for requirements
11.2.6.1 Requirement for external interface
11.2.6.2 Requirements, both functional and non-functional
11.3 Machine Learning Algorithms
11.3.1 Supervised learning
11.3.1.1 Classification
11.3.1.2 Regression
11.4 Machine Learning Algorithm for Solar Tracking System
11.4.1 SVM for solar tracking system
11.4.1.1 Steps in python implementation of SVM
11.4.2 Linear regression for solar tracking system
11.4.2.1 Steps in python implementation of linear regression
11.5 Implementation
11.6 Conclusion
References
Chapter 12 Gain and Bandwidth Enhancement of Pentagon Shaped Dual Layer Parasitic Microstrip Patch Antenna for WLAN Applications
12.1 Introduction
12.2 Pentagon Single Layer Design
12.3 Pentagon Dual Layer Design
12.4 Analysis of the Dual Layer Pentagon withTwo Parasitic Elements
12.5 Analysis of the Dual Layer Pentagon with Two Parasitic Elements
12.6 Conclusion
References
Chapter 13 Quantum Cascade Lasers –Device Modelling and Applications
13.1 Introduction
13.2 Non-Linear Frequency Generation
13.3 QCL Based Interferometry
13.4 Frequency Instabilities in THz QCLs
13.5 Design Optimization of Cavity in QCLs
13.6 THz QCLs Based on HgCdTe Material Systems
13.7 Optical Beam Characteristics of QCL
13.8 Temperature Degradation in THz QCLs
13.9 Impedance Characteristics of QCLs
13.10 Free Space Optical Communication Using QCLs
13.11 Free Space Optical Communication Using Temperature Dependent QCLs
13.12 Conclusion
References
Chapter 14 Design of Broad band Stacked Fractal Antenna with Defective Ground Structure for 5G Communications
14.1 Introduction
14.2 Introduction to the Fractal Concept
14.2.1 The fractal geometry
14.3 Antenna Design with a Single Layer Fractal
14.4 Antenna Design with a Dual Layer Fractal
14.5 Conclusion
14.6 Acknowledgement
References
Chapter 15 Performance Analysis of T Shaped Structure for Satellite Communication
15.1 Introduction
15.2 T Shaped Structure Antenna
15.3 Results and Discussion
15.4 Conclusion
References
Index
About the Editors
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