Optical and Wireless Convergence for 5G Networks by Abdalla, Abdelgader M.

Table of Contents: “…Abdalla, Catia Pinho, Jonathan Rodriguez, Paulo Pereira Monteiro, Antonio Lucios Teixeira</i></p> <p>1.1 Introduction 2</p> <p>1.2 Cellular Network Interface and Solution 3</p> <p>1.2.1 MBH/MFH Architecture 3</p> <p>1.2.2 Integrated MBH/MFH Transport Network 5</p> <p>1.3 5G Enabling Technologies 5</p> <p>1.3.1 Ultra-Densication 6</p> <p>1.3.2 C-RAN and RAN Virtualization 6</p> <p>1.3.3 Advanced radio coordination 8</p> <p>1.3.4 Millimeter-Wave Small Cells 9</p> <p>1.3.5 Massive MIMO 10</p> <p>1.3.6 New Multicarrier Modulations for 5G 10</p> <p>1.4 Fiber-Wireless Network Convergence 11</p> <p>1.5 Radio-over-Fiber Transmission Scheme 12</p> <p>1.5.1 Digital Radio-over-Fiber (D-RoF) Transmission 12</p> <p>1.5.2 Analog Radio-over-Fiber (A-RoF) Transmission 13</p> <p>1.6 Optical MBH/MFH Transport Network Multiplexing Schemes 14</p> <p>1.6.1 Wavelength-Division Multiplexing (WDM) based Schemes 14</p> <p>1.6.2 Spatial-Division Multiplexing (SDM) based Schemes 15</p> <p>1.7 Wireless based MFH/MBH 18</p> <p>1.7.1 FSO Communication Systems 18</p> <p>1.7.2 Hybrid RF/FSO Technology 21</p> <p>1.7.3 Relay-Assisted FSO Transmission 22</p> <p>1.8 Experimental Channel measurement and characterization 23</p> <p>1.9 Results and Discussions 24</p> <p>1.10 Conclusion 24</p> <p>Acknowledgments 24</p> <p>Bibliography 25</p> <p><b>2 Hybrid Fiber Wireless (HFW) Extension for GPON Toward 5G 31<br /></b><i>Rattana Chuenchom, Andreas Ste-an, Robert G. …”
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PID and predictive control of electrical drives and power supplies using MATLAB/Simulink by Wang, Liuping

Table of Contents: “…8.2.1 Augmented Model 269 -- 8.2.2 Design without Constraints 270 -- 8.2.3 Formulation of the Constraints 272 -- 8.2.4 On-line Solution for Constrained MPC 272 -- 8.3 Experimental Evaluation of DMPC of PMSM 274 -- 8.3.1 The MPC Parameters 274 -- 8.3.2 Constraints 275 -- 8.3.3 Response to Load Disturbances 275 -- 8.3.4 Response to a Staircase Reference 277 -- 8.3.5 Tuning of the MPC controller 278 -- 8.4 Power Converter Control Using DMPC with Experimental Validation 280 -- 8.5 Summary 281 -- 8.6 Further Reading 282 -- References 283 -- 9 Continuous-time Model Predictive Control (CMPC) of Electrical Drives and PowerConverter 285 -- 9.1 Continuous-time MPC Design 286 -- 9.1.1 Augmented Model 286 -- 9.1.2 Description of the Control Trajectories Using Laguerre Functions 287 -- 9.1.3 Continuous-time Predictive Control without Constraints 289 -- 9.1.4 Tuning of CMPC Control System Using Exponential Data Weighting and Prescribed Degree of Stability 292 -- 9.2 CMPC with Nonlinear Constraints 294 -- 9.2.1 Approximation of Nonlinear Constraint Using Four Linear Constraints 294 -- 9.2.2 Approximation of Nonlinear Constraint Using Sixteen Linear Constraints 294 -- 9.2.3 State Feedback Observer 297 -- 9.3 Simulation and Experimental Evaluation of CMPC of Induction Motor 298 -- 9.3.1 Simulation Results 298 -- 9.3.2 Experimental Results 300 -- 9.4 Continuous-time Model Predictive Control of Power Converter 301 -- 9.4.1 Use of Prescribed Degree of Stability in the Design 302 -- 9.4.2 Experimental Results for Rectification Mode 303 -- 9.4.3 Experimental Results for Regeneration Mode 303 -- 9.4.4 Experimental Results for Disturbance Rejection 304 -- 9.5 Gain Scheduled Predictive Controller 305 -- 9.5.1 The Weighting Parameters 305 -- 9.5.2 Gain Scheduled Predictive Control Law 307 -- 9.6 Experimental Results of Gain Scheduled Predictive Control of Induction Motor 309 -- 9.6.1 The First Set of Experimental Results 309 -- 9.6.2 The Second Set of Experimental Results 311 -- 9.6.3 The Third Set of Experimental Results 312.…”
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The technology and business of mobile telecommunications : an introduction by Hunukumbure, Mythri, 1972-

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Mastering VBA for Office 2010 by Mansfield, Richard, 1945-

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1000 CEOs

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