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[null,"1.","Record Nr.",null,"UNINA9910860893503321"]
[null,null,"Autore",null,"Kannadhasan S"]
[null,null,"Titolo",null,"Smart Antennas, Electromagnetic Interference and Microwave Antennas for Wireless Communications"]
[null,null,"Pubbl/distr/stampa",null,"Aalborg : , : River Publishers, , 2023"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"1-5231-5634-1"]
[{"$nulls":4},"1-00-337323-2"]
[{"$nulls":4},"1-000-84646-6"]
[{"$nulls":4},"1-000-84642-3"]
[{"$nulls":4},"1-003-37323-2"]
[{"$nulls":4},"87-7022-775-6"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (238 pages)"]
[null,null,"Collana",null,"Communications"]
[null,null,"Disciplina",null,"621.381"]
[null,null,"Soggetti",null,"Microelectronics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"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 "]
[{"$nulls":4},"Bidirectional Relays and Multi User Detection -- 3.1 Introduction -- 3.2 Components of Communication System -- 3.3 Proposed System -- 3.4 System Design and Development -- 3.4.1 Input design -- 3.4.2 Feasibility analysis -- 3.4.2.1 Operational feasibility -- 3.4.2.2 Technical feasibility -- 3.4.2.3 Economical feasibility -- 3.4.2.4 Project modules -- 3.5 Output Design -- 3.5.1 Animator output -- 3.5.2 Initialization of nodes -- 3.5.3 Node 1 starts transmitting data -- 3.5.4 Finding shortest path -- 3.5.5 Transmission of data through relay node."]
[{"$nulls":4},"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."]
[{"$nulls":4},"Chapter 7 A Baseband Transceiver for MIMO-OFDMA in Spatial Multiplexing Using Modified V-BLAST Algorithm -- 7.1 Introduction -- 7.1.1 OFDM modulation -- 7.1.2 FDMA -- 7.1.3 OFDMA -- 7.1.4 MIMO OFDM -- 7.2 Existing Method -- 7.2.1 Synchronization algorithms for MIMO OFDMA systems -- 7.3 MIMO Transceiver -- 7.4 Proposed Method -- 7.4.1 Module description -- 7.4.2 Proposed modified V-BLAST algorithm -- 7.5 Result and Discussion -- 7.6 Conclusion -- References -- Chapter 8 Hardware Implementation of OFDM Transceiver Using Simulink Blocks for MIMO Systems -- 8.1 Introduction -- 8.2 Existing System -- 8.2.1 Fast ICA -- 8.2.2 Efficient variant of fast ICA algorithm (EFICA) -- 8.2.3 Sphere decoding algorithm -- 8.3 Proposed System -- 8.4 MIMO-OFDM -- 8.5 Channel Estimation (CE) -- 8.6 Flow Diagram -- 8.6.1 Input sample -- 8.6.2 Serial to parallel converter -- 8.6.3 AWGN channel -- 8.6.4 Mapper -- 8.6.5 FFT block -- 8.6.6 IFFT block -- 8.6.7 BER -- 8.7 Module Explanation -- 8.7.1 OFDM modulation/demodulation -- 8.7.2 FFT/IFFT block -- 8.7.3 OFDM transmitter -- 8.7.4 OFDM receiver -- 8.8 Results and Discussion -- 8.8.1 Selection of voice source -- 8.8.2 MIMO block design process -- 8.8.3 Synthesis process -- 8.8.4 RTL schematic -- 8.8.5 Technology schematic -- 8.8.6 Power estimation -- 8.8.7 Static power -- 8.8.8 Power estimation -- 8.9 Conclusion and "]
[{"$nulls":4},"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)."]
[{"$nulls":4},"9.5 Frequency Domain Subgroup Algorithm (FAST) -- 9.6 Results and Discussions -- 9.6.1 Separate cell's creation -- 9.6.2 After every round, the average energy in each user -- 9.6.3 Power allocation to each and every subgroup -- 9.6.4 Capacity allocation and allocation of LAMDA -- 9.6.5 The performances estimation of various parameters -- 9.7 Conclusion -- References -- Chapter 10 Survey on RF Coils for MRI Diagnosis System -- 10.1 Introduction -- 10.2 Survey of Literature -- 10.2.1 Design of transceiver RF coils -- 10.2.2 The development of RF based MRI coils -- 10.2.3 Research development of industry version of MRI coils -- 10.3 Proposed Methodology -- 10.3.1 A design a coils by meta-materials -- 10.3.2 Implementation using big data digitizationanalysis through wireless networks -- 10.3.3 To design a flexible adaptive multituned RF coils -- 10.4 Conclusion -- References -- Chapter 11 Wireless Sensing Based Solar Tracking System Using Machine Learning -- 11.1 Introduction -- 11.1.1 Purpose -- 11.1.2 Overview -- 11.2 Solar Tracking System -- 11.2.1 Architectural description -- 11.2.2 Main components -- 11.2.2.1 Servomotor -- 11.2.2.2 LDR -- 11.2.2.3 Solar panel -- 11.2.4 Limitations -- 11.2.5 Dependencies and assumptions -- 11.2.6 Specifications for requirements -- 11.2.6.1 Requirement for external interface -- 11.2.6.2 Requirements, both functional and non-functional -- 11.3 Machine Learning Algorithms -- 11.3.1 Supervised learning -- 11.3.1.1 Classification -- 11.3.1.2 Regression -- 11.4 Machine Learning Algorithm for Solar Tracking System -- 11.4.1 SVM for solar tracking system -- 11.4.1.1 Steps in python implementation of SVM -- 11.4.2 Linear regression for solar tracking system -- 11.4.2.1 Steps in python implementation of linear regression -- 11.5 Implementation -- 11.6 Conclusion -- References."]
[{"$nulls":4},"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 "]
[{"$nulls":4},"Introduction -- 15.2 T Shaped Structure Antenna -- 15.3 Results and Discussion -- 15.4 Conclusion -- References -- Index -- About the Editors -- BackCover."]
[null,null,null,"Sommario/riassunto","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."]