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A glimpse beyond 5G in wireless networks / / Mohammad A. Matin, editor
| A glimpse beyond 5G in wireless networks / / Mohammad A. Matin, editor |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (286 pages) |
| Disciplina | 621.38456 |
| Collana | Signals and communication technology |
| Soggetto topico |
5G mobile communication systems
Wireless communication systems |
| ISBN |
9783031137860
9783031137853 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Introduction -- Research Contributions -- Conclusions -- References -- Acknowledgments -- Contents -- Editor and Contributors -- About the Editor -- Contributors -- 1 A Comprehensive Study on 5G: RAN Architecture, Enabling Technologies, Challenges, and Deployment -- 1.1 Introduction -- 1.1.1 Review of Related 5G Surveys -- 1.1.2 Contributions and Chapter Organization -- 1.2 5G Architecture for Public Networks -- 1.2.1 Cloud-Based 5G Architecture -- 1.2.1.1 Heterogeneous C-RAN (H-CRAN) -- 1.2.1.2 Virtualized C-RAN (V-CRAN) -- 1.2.2 Edge Computing with 5G Architecture -- 1.2.2.1 Fog-Based 5G Architecture Within C-RAN -- 1.2.2.2 Cloud-Edge 5G RAN Based on O-RAN and 3GPP -- 1.2.2.3 Multi-Access Edge Computing within 5G RAN Based on 5GPPP and 3GPP -- 1.2.3 Comparison Among Public 5G Architectures -- 1.3 Private 5G Networks -- 1.3.1 5G Architecture for Private Networks -- 1.3.2 Spectrum Options for the Private 5G Networks -- 1.4 5G Enabling Technologies -- 1.4.1 Software-Defined Networking (SDN) -- 1.4.1.1 SDN Architecture -- 1.4.1.2 Research Works on SDN -- 1.4.2 Network Functions Virtualization (NFV) -- 1.4.2.1 NFV Architecture -- 1.4.2.2 Research Works on NFV -- 1.4.3 Network Slicing -- 1.4.3.1 Network Slicing Architecture -- 1.4.4 Artificial Intelligence/Machine Learning (AI/ML) -- 1.4.4.1 Research Works on Network Slicing with AI/ML Strategies -- 1.4.5 Multi-Access Edge Computing (MEC) -- 1.4.5.1 MEC Architecture -- 1.5 5G Development and Experimentations -- 1.5.1 5G Development Platforms for R& -- D -- 1.5.1.1 OpenAirInterface (OAI) -- 1.5.1.2 Network Simulator-3 (NS-3) -- 1.5.1.3 MATLAB 5G Toolbox -- 1.5.2 5G R& -- D Projects -- 1.5.2.1 MOSAIC 5G -- 1.5.2.2 Open Networking Foundation (ONF) -- 1.6 Challenging Issues and Directions -- References -- 2 Information Flows at the Deep Physical Layer Level -- 2.1 Introduction.
2.2 Communication at the DPL Using the Space Resource -- 2.3 Bandlimited Approximation in the Space Domain -- 2.4 The Space-Time Polarization Number of Degrees of Freedom (STPNDF) -- 2.5 Control of Information Flows at the DPL Level -- 2.6 Conclusions -- References -- 3 FBMC: A Waveform Candidate for Beyond 5G -- 3.1 Introduction -- 3.2 Organization of Chapter -- 3.3 FBMC System Model -- 3.3.1 Data Detection -- 3.4 MIMO-FBMC Semi-Blind CSI Estimation -- 3.4.1 Review of Existing Works -- 3.4.2 Semi-Blind MIMO-FBMC Channel Estimator -- 3.4.3 MSE Gain of the Semi-Blind Estimate over the LS Estimate -- 3.5 Performance of FBMC Waveform in Uplink of Massive MIMO -- 3.5.1 Review of Existing Works -- 3.5.2 Massive MIMO-FBMC System Model -- 3.5.3 Uplink Sum Rate for Massive MIMO-FBMC with Imperfect CSI -- 3.5.3.1 MRC Receiver -- 3.5.3.2 ZF Receiver -- 3.5.4 Uplink Sum Rate for Massive MIMO-FBMC with Perfect CSI -- 3.5.4.1 MRC Receiver -- 3.5.4.2 ZF Receiver -- 3.6 Conclusions and Future Directions -- References -- 4 Full-Duplex Multi-Hop Communication for Beyond 5G -- 4.1 Introduction -- 4.2 Organization of the Chapter -- 4.3 Massive MIMO -- 4.4 Multi-hop Communication -- 4.4.1 Full-Duplex Multi-Hop Communication -- 4.5 Single-Pair/Multi-Pair One-Way/Two-Way Relay Models -- 4.5.1 Single User Pair Relay Model -- 4.5.2 Multi-Pair Two-Way Relay Model -- 4.6 Single-Pair Half-Duplex Two-Way Massive MIMO Relay: Mathematical Model -- 4.6.1 Relay Beamforming Design -- 4.6.1.1 MRC/MRT Beamformer -- 4.6.1.2 ZFR/ZFT Precoder -- 4.6.2 Performance Analysis of Single-Pair Relay Model: MRT/MRC Beamforming -- 4.6.3 Performance Analysis of Single-Pair Relay Model: ZFR/ZFT Beamforming -- 4.7 Multi-Pair Half-Duplex Two-Way Relay: Mathematical Model -- 4.7.1 MRC/MRT Beamforming -- 4.7.2 ZFR/ZFT Beamforming -- 4.8 Full-Duplex Multi-Pair AF Massive MIMO Relay. 4.8.1 SLI Suppression -- 4.8.1.1 Passive Cancellation -- 4.8.1.2 Large Antenna Array at Relay -- 4.8.1.3 Lower Transmit Power at Relay -- 4.8.1.4 Active Cancellation -- 4.9 Multi-Pair Full-Duplex Relay: Mathematical Model -- 4.9.1 Channel Model -- 4.9.2 Data Transmission -- 4.10 Performance Analysis -- 4.11 Summary and Future Works -- References -- 5 NOMA for 5G and Beyond Wireless Networks -- 5.1 Introduction -- 5.2 Non-orthogonal Multiple Access -- 5.2.1 Various Applications of NOMA -- 5.3 Heterogeneous Networks -- 5.3.1 Tier Selection Probability/Offloading Probability Based on Biased Received Power -- 5.3.2 NOMA-Enabled Heterogeneous Networks -- 5.4 Point Process -- 5.5 Cooperation Using Device to Device Communication -- 5.6 System Model -- 5.6.1 Cooperation from D2D Tier -- 5.6.2 Some Useful Probabilities -- 5.6.2.1 Offloading Probability -- 5.6.2.2 NOMA Compatibility Probability -- 5.6.2.3 Corresponding PU Probability -- 5.6.3 Total Outage Probability -- 5.6.3.1 Total Outage Probability After Offloading -- 5.6.3.2 Total Outage Probability After D2D Cooperation -- 5.7 Results and Discussions -- 5.8 Conclusion -- References -- 6 Energy Harvested Device-to-Device MIMO Systems for Beyond 5G Communication -- 6.1 Introduction -- 6.1.1 Wireless Energy Transmission Techniques -- 6.2 Energy Harvesting Models -- 6.2.1 Linear Energy Harvesting -- 6.2.2 Nonlinear Energy Harvesting -- 6.3 Impact of Imperfect CSI -- 6.3.1 Mathematical Modeling -- 6.3.1.1 Time Switching Protocol -- 6.3.1.2 Phase 1 -- 6.3.1.3 Phase 2 -- 6.3.2 System Performance Metrics -- 6.3.2.1 Outage Probability -- 6.3.2.2 Asymptotic Analysis -- 6.3.2.3 Throughput Analysis -- 6.3.3 Results and Discussion -- 6.4 Impact of Outdated CSI -- 6.4.1 Mathematical Modeling -- 6.4.2 System Performance Metrics -- 6.4.2.1 Outage Probability -- 6.4.2.2 Asymptotic Analysis -- 6.4.2.3 Throughput Analysis. 6.4.3 Results and Discussions -- 6.4.3.1 Impact of MIMO Antenna System -- 6.4.3.2 Impact of Feedback Delays -- 6.4.3.3 Throughput Analysis -- 6.5 Conclusion -- 6.5.1 Summary -- References -- 7 Vehicular Communications in the B5G Era -- 7.1 Introduction -- 7.2 V2X Communications -- 7.3 Satellite Communications -- 7.4 Vehicular Wireless Communication Link Case Study -- 7.5 Challenges -- 7.6 Conclusions -- References -- 8 Implementation of Context-Aware Environments with Massive IoT Systems -- 8.1 Introduction -- 8.2 Wireless Connectivity Analysis -- 8.2.1 University Campus Scenario -- 8.2.2 Urban City Center Scenario -- 8.2.3 Indoor Warehouse Scenario -- 8.3 Conclusions -- References -- 9 Feasibility of LDM to Serve User-IoT Pairs in the Future Wireless Network -- 9.1 Introduction -- 9.2 Literature Review -- 9.3 Use Case Scenario of LDM in Future Wireless Network -- 9.3.1 Urban Use Case Scenario for IoT Downlink Communication -- 9.3.2 Rural Use Case Scenario for IoT Downlink Communication -- 9.4 Transceiver Framework Adopting LDM -- 9.4.1 Transmitter Framework with LDM Superposition -- 9.4.2 Channel Model -- 9.4.3 Receiver Framework for LDM Detection -- 9.5 Theoretical Evaluation -- 9.5.1 Bit Error Rate of LDM Upper Layer -- 9.5.2 Channel Capacity Distribution -- 9.6 Mobility Model -- 9.6.1 IoT and User Mobility -- 9.6.2 The Range of IoT Device's Initial Position -- 9.6.3 Mobility Model -- 9.6.3.1 Random Waypoint Mobility Model -- 9.6.3.2 Manhattan Mobility Model -- 9.6.3.3 Freeway Mobility Model -- 9.7 Results and Analysis -- 9.7.1 The Performance of LDM in an OFDM Framework -- 9.7.2 Receiver Mobility -- 9.8 Conclusion -- References -- 10 Wide Band THz Antenna Design Using Salp Swarm Algorithm for 6G Communications Systems -- 10.1 Introduction -- 10.2 Related Work -- 10.3 Algorithm Description -- 10.4 6G Patch Antenna Design -- 10.5 Numerical Results. 10.6 Conclusion -- References -- Index. |
| Record Nr. | UNINA-9910633933003321 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
A glimpse beyond 5G in wireless networks / / Mohammad A. Matin, editor
| A glimpse beyond 5G in wireless networks / / Mohammad A. Matin, editor |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (286 pages) |
| Disciplina | 621.38456 |
| Collana | Signals and communication technology |
| Soggetto topico |
5G mobile communication systems
Wireless communication systems |
| ISBN |
9783031137860
9783031137853 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Introduction -- Research Contributions -- Conclusions -- References -- Acknowledgments -- Contents -- Editor and Contributors -- About the Editor -- Contributors -- 1 A Comprehensive Study on 5G: RAN Architecture, Enabling Technologies, Challenges, and Deployment -- 1.1 Introduction -- 1.1.1 Review of Related 5G Surveys -- 1.1.2 Contributions and Chapter Organization -- 1.2 5G Architecture for Public Networks -- 1.2.1 Cloud-Based 5G Architecture -- 1.2.1.1 Heterogeneous C-RAN (H-CRAN) -- 1.2.1.2 Virtualized C-RAN (V-CRAN) -- 1.2.2 Edge Computing with 5G Architecture -- 1.2.2.1 Fog-Based 5G Architecture Within C-RAN -- 1.2.2.2 Cloud-Edge 5G RAN Based on O-RAN and 3GPP -- 1.2.2.3 Multi-Access Edge Computing within 5G RAN Based on 5GPPP and 3GPP -- 1.2.3 Comparison Among Public 5G Architectures -- 1.3 Private 5G Networks -- 1.3.1 5G Architecture for Private Networks -- 1.3.2 Spectrum Options for the Private 5G Networks -- 1.4 5G Enabling Technologies -- 1.4.1 Software-Defined Networking (SDN) -- 1.4.1.1 SDN Architecture -- 1.4.1.2 Research Works on SDN -- 1.4.2 Network Functions Virtualization (NFV) -- 1.4.2.1 NFV Architecture -- 1.4.2.2 Research Works on NFV -- 1.4.3 Network Slicing -- 1.4.3.1 Network Slicing Architecture -- 1.4.4 Artificial Intelligence/Machine Learning (AI/ML) -- 1.4.4.1 Research Works on Network Slicing with AI/ML Strategies -- 1.4.5 Multi-Access Edge Computing (MEC) -- 1.4.5.1 MEC Architecture -- 1.5 5G Development and Experimentations -- 1.5.1 5G Development Platforms for R& -- D -- 1.5.1.1 OpenAirInterface (OAI) -- 1.5.1.2 Network Simulator-3 (NS-3) -- 1.5.1.3 MATLAB 5G Toolbox -- 1.5.2 5G R& -- D Projects -- 1.5.2.1 MOSAIC 5G -- 1.5.2.2 Open Networking Foundation (ONF) -- 1.6 Challenging Issues and Directions -- References -- 2 Information Flows at the Deep Physical Layer Level -- 2.1 Introduction.
2.2 Communication at the DPL Using the Space Resource -- 2.3 Bandlimited Approximation in the Space Domain -- 2.4 The Space-Time Polarization Number of Degrees of Freedom (STPNDF) -- 2.5 Control of Information Flows at the DPL Level -- 2.6 Conclusions -- References -- 3 FBMC: A Waveform Candidate for Beyond 5G -- 3.1 Introduction -- 3.2 Organization of Chapter -- 3.3 FBMC System Model -- 3.3.1 Data Detection -- 3.4 MIMO-FBMC Semi-Blind CSI Estimation -- 3.4.1 Review of Existing Works -- 3.4.2 Semi-Blind MIMO-FBMC Channel Estimator -- 3.4.3 MSE Gain of the Semi-Blind Estimate over the LS Estimate -- 3.5 Performance of FBMC Waveform in Uplink of Massive MIMO -- 3.5.1 Review of Existing Works -- 3.5.2 Massive MIMO-FBMC System Model -- 3.5.3 Uplink Sum Rate for Massive MIMO-FBMC with Imperfect CSI -- 3.5.3.1 MRC Receiver -- 3.5.3.2 ZF Receiver -- 3.5.4 Uplink Sum Rate for Massive MIMO-FBMC with Perfect CSI -- 3.5.4.1 MRC Receiver -- 3.5.4.2 ZF Receiver -- 3.6 Conclusions and Future Directions -- References -- 4 Full-Duplex Multi-Hop Communication for Beyond 5G -- 4.1 Introduction -- 4.2 Organization of the Chapter -- 4.3 Massive MIMO -- 4.4 Multi-hop Communication -- 4.4.1 Full-Duplex Multi-Hop Communication -- 4.5 Single-Pair/Multi-Pair One-Way/Two-Way Relay Models -- 4.5.1 Single User Pair Relay Model -- 4.5.2 Multi-Pair Two-Way Relay Model -- 4.6 Single-Pair Half-Duplex Two-Way Massive MIMO Relay: Mathematical Model -- 4.6.1 Relay Beamforming Design -- 4.6.1.1 MRC/MRT Beamformer -- 4.6.1.2 ZFR/ZFT Precoder -- 4.6.2 Performance Analysis of Single-Pair Relay Model: MRT/MRC Beamforming -- 4.6.3 Performance Analysis of Single-Pair Relay Model: ZFR/ZFT Beamforming -- 4.7 Multi-Pair Half-Duplex Two-Way Relay: Mathematical Model -- 4.7.1 MRC/MRT Beamforming -- 4.7.2 ZFR/ZFT Beamforming -- 4.8 Full-Duplex Multi-Pair AF Massive MIMO Relay. 4.8.1 SLI Suppression -- 4.8.1.1 Passive Cancellation -- 4.8.1.2 Large Antenna Array at Relay -- 4.8.1.3 Lower Transmit Power at Relay -- 4.8.1.4 Active Cancellation -- 4.9 Multi-Pair Full-Duplex Relay: Mathematical Model -- 4.9.1 Channel Model -- 4.9.2 Data Transmission -- 4.10 Performance Analysis -- 4.11 Summary and Future Works -- References -- 5 NOMA for 5G and Beyond Wireless Networks -- 5.1 Introduction -- 5.2 Non-orthogonal Multiple Access -- 5.2.1 Various Applications of NOMA -- 5.3 Heterogeneous Networks -- 5.3.1 Tier Selection Probability/Offloading Probability Based on Biased Received Power -- 5.3.2 NOMA-Enabled Heterogeneous Networks -- 5.4 Point Process -- 5.5 Cooperation Using Device to Device Communication -- 5.6 System Model -- 5.6.1 Cooperation from D2D Tier -- 5.6.2 Some Useful Probabilities -- 5.6.2.1 Offloading Probability -- 5.6.2.2 NOMA Compatibility Probability -- 5.6.2.3 Corresponding PU Probability -- 5.6.3 Total Outage Probability -- 5.6.3.1 Total Outage Probability After Offloading -- 5.6.3.2 Total Outage Probability After D2D Cooperation -- 5.7 Results and Discussions -- 5.8 Conclusion -- References -- 6 Energy Harvested Device-to-Device MIMO Systems for Beyond 5G Communication -- 6.1 Introduction -- 6.1.1 Wireless Energy Transmission Techniques -- 6.2 Energy Harvesting Models -- 6.2.1 Linear Energy Harvesting -- 6.2.2 Nonlinear Energy Harvesting -- 6.3 Impact of Imperfect CSI -- 6.3.1 Mathematical Modeling -- 6.3.1.1 Time Switching Protocol -- 6.3.1.2 Phase 1 -- 6.3.1.3 Phase 2 -- 6.3.2 System Performance Metrics -- 6.3.2.1 Outage Probability -- 6.3.2.2 Asymptotic Analysis -- 6.3.2.3 Throughput Analysis -- 6.3.3 Results and Discussion -- 6.4 Impact of Outdated CSI -- 6.4.1 Mathematical Modeling -- 6.4.2 System Performance Metrics -- 6.4.2.1 Outage Probability -- 6.4.2.2 Asymptotic Analysis -- 6.4.2.3 Throughput Analysis. 6.4.3 Results and Discussions -- 6.4.3.1 Impact of MIMO Antenna System -- 6.4.3.2 Impact of Feedback Delays -- 6.4.3.3 Throughput Analysis -- 6.5 Conclusion -- 6.5.1 Summary -- References -- 7 Vehicular Communications in the B5G Era -- 7.1 Introduction -- 7.2 V2X Communications -- 7.3 Satellite Communications -- 7.4 Vehicular Wireless Communication Link Case Study -- 7.5 Challenges -- 7.6 Conclusions -- References -- 8 Implementation of Context-Aware Environments with Massive IoT Systems -- 8.1 Introduction -- 8.2 Wireless Connectivity Analysis -- 8.2.1 University Campus Scenario -- 8.2.2 Urban City Center Scenario -- 8.2.3 Indoor Warehouse Scenario -- 8.3 Conclusions -- References -- 9 Feasibility of LDM to Serve User-IoT Pairs in the Future Wireless Network -- 9.1 Introduction -- 9.2 Literature Review -- 9.3 Use Case Scenario of LDM in Future Wireless Network -- 9.3.1 Urban Use Case Scenario for IoT Downlink Communication -- 9.3.2 Rural Use Case Scenario for IoT Downlink Communication -- 9.4 Transceiver Framework Adopting LDM -- 9.4.1 Transmitter Framework with LDM Superposition -- 9.4.2 Channel Model -- 9.4.3 Receiver Framework for LDM Detection -- 9.5 Theoretical Evaluation -- 9.5.1 Bit Error Rate of LDM Upper Layer -- 9.5.2 Channel Capacity Distribution -- 9.6 Mobility Model -- 9.6.1 IoT and User Mobility -- 9.6.2 The Range of IoT Device's Initial Position -- 9.6.3 Mobility Model -- 9.6.3.1 Random Waypoint Mobility Model -- 9.6.3.2 Manhattan Mobility Model -- 9.6.3.3 Freeway Mobility Model -- 9.7 Results and Analysis -- 9.7.1 The Performance of LDM in an OFDM Framework -- 9.7.2 Receiver Mobility -- 9.8 Conclusion -- References -- 10 Wide Band THz Antenna Design Using Salp Swarm Algorithm for 6G Communications Systems -- 10.1 Introduction -- 10.2 Related Work -- 10.3 Algorithm Description -- 10.4 6G Patch Antenna Design -- 10.5 Numerical Results. 10.6 Conclusion -- References -- Index. |
| Record Nr. | UNISA-996546833703316 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Network Coding / / edited by Mohammad Abdul Matin
| Network Coding / / edited by Mohammad Abdul Matin |
| Pubbl/distr/stampa | London : , : IntechOpen, , 2018 |
| Descrizione fisica | 1 online resource (71 pages) : illustrations (black and white, and colour) |
| Disciplina | 004 |
| Soggetto topico | Information technology |
| ISBN |
1-83881-664-X
1-78923-615-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910317797903321 |
| London : , : IntechOpen, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Towards Cognitive IoT Networks / / edited by Mohammad Abdul Matin
| Towards Cognitive IoT Networks / / edited by Mohammad Abdul Matin |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (VII, 181 p. 59 illus., 40 illus. in color.) |
| Disciplina | 004.678 |
| Collana | Internet of Things, Technology, Communications and Computing |
| Soggetto topico |
Electrical engineering
Computer engineering Internet of things Embedded computer systems Computer software Application software Communications Engineering, Networks Cyber-physical systems, IoT Professional Computing Information Systems Applications (incl. Internet) |
| ISBN | 3-030-42573-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Current Research Trends on Cognitive Radio Based Internet of Things (IoT) -- Cognition Radio Enabled IoT -- SDN-enabled IoT: Ensuring Reliability in IoT Networks through Software Defined Networks -- QoS aware Spectrum Selection for IoT -- Cognitive M2M Communications: Enablers for IoT -- Cognitive Radio Engine Design for IoT Using Monarch Butterfly Optimization and Fuzzy Decision Making -- Physical Layer Security of Cognitive IoT Networks -- Internet of Energy Harvesting Cognitive Radios -- Cultural IoT framework focusing on interactive and personalized museum sightseeing. |
| Record Nr. | UNINA-9910383830903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Wireless sensor networks : technology and applications / / edited by Mohammad Abdul Matin
| Wireless sensor networks : technology and applications / / edited by Mohammad Abdul Matin |
| Pubbl/distr/stampa | Rijeka, Croatia : , : InTech, , [2012] |
| Descrizione fisica | 1 online resource (388 pages) : illustrations |
| Disciplina | 681.2 |
| Soggetto topico | Wireless sensor networks - Design and construction |
| ISBN | 953-51-5573-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Wireless Sensor Networks |
| Record Nr. | UNINA-9910137847503321 |
| Rijeka, Croatia : , : InTech, , [2012] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||