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2010-03-19, 12:25 PM
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Systems Engineering in Wireless Communications By Heikki Niilo Koivo, Mohammed Elmusrati
Publisher: Wiley 2010 | 356 Pages | ISBN: 0470021780 | PDF | 5 MB


This book provides the reader with a complete coverage of radio resource management for 3G wireless communications
Systems Engineering in Wireless Communications focuses on the area of radio resource management in third generation wireless communication systems from a systems engineering perspective. The authors provide an introduction into cellular radio systems as well as a review of radio resource management issues. Additionally, a detailed discussion of power control, handover, admission control, smart antennas, joint optimization of different radio resources , and cognitive radio networksis offered. This book differs from books currently available, with its emphasis on the dynamical issues arising from mobile nodes in the network. Well-known control techniques, such as least squares estimation, PID control, Kalman filers, adaptive control, and fuzzy logic are used throughout the book.
Key Features:
Covers radio resource management of third generation wireless communication systems at a systems level
First book to address wireless communications issues using systems engineering methods
Offers the latest research activity in the field of wireless communications, extending to the control engineering community
Includes an accompanying website containing MATLABā„¢/SIMULINKā„¢ exercises
Provides illustrations of wireless networks
This book will be a valuable reference for graduate and postgraduate students studying wireless communications and control engineering courses, and R&D engineers.

Table of Content:

1. Chapter Introduction. 1.1. Introduction to Telecommunication.
1.2. The quality of services (QoS) parameters.
1.3. Multiple Access Techniques.
2. CHAPTER FEEDBACK CONTROL BASICS.
2.1. Introduction.
2.2. Feedback Control.
2.3. Relay control (ON-OFF control).
2.4. Proportional-Integral-Derivative (PID) Control.
2.5. Proportional control (P Control).
2.6. Integral controller (I control).
2.7. Proportional-Integral controller (PI control).
2.8. Proportional Derivative Controller (PD controller).
2.9. Proportional-Integral-Derivative Controller (PID controller).
2.10. Practical issues.
2.11. TUNING OF PID CONTROLLERS.
2.12. DIGITAL IMPLEMENTATION OF A PID CONTROLLER.
2.13. PHASE-LOCKED LOOP.
2.14. STATE SPACE REPRESENTATION.
2.15. KALMAN FILTER.
2.16. Linear Kalman Filter.
2.17. FUZZY CONTROL.
2.18. Stability.
2.19. Summary.
3. CHAPTER CHANNEL MODELING.
3.1. Introduction.
3.2. Large-scale propagation models.
3.3. Small-scale propagation models and Statistical multipath channel models.
3.4. Summary.
4. CHAPTER CHANNEL ESTIMATION AND PREDICTION.
4.1. Introduction.
4.2. Linear time-variant (LTV) channel model.
4.3. Multivariable case.
4.4. Simulation of LTV systems.
4.5. Discrete-time models.
4.6. Discrete-time models with noise.
4.7. Least squares identification.
4.8. Minimum variance prediction.
4.9. Self-tuning predictor.
4.10. Summary.
5. chapter POWER CONTROL PART 1: Linear Algebra Perspective.
5.1. Introduction.
5.2. Centralized Power Control.
5.3. Graphical Description of Power Control.
5.4. Distributed Power Control Algorithms.
6.CHAPTER Power control 2: Control engineering perspective.
6.1. Introduction.
6.2. Issues in uplink power control.
6.3. Upper link power control with a relay controller.
Example 6-1: Relay control.
6.4. PID control.
EXAMPLE 6-3: PID control tuning with optimization.
EXAMPLE 6-4: PID power control.
6.5. Self-tuning predictive power control algorithm.
6.6. Self-tuning power control.
EXAMPLE 6-4 Self-tuning power control.
6.7. Fuzzy power control.
6.8. Summary.
7. chapter ADMISSION AND LOAD CONTROL.
7.1. Introduction to Admission Control (AC).
7.2. Theoretical Analysis of Centralized Admission Control.
7.3. Non-Interactive Distributed Admission Control (NIDAC).
7.4. Interactive Distributed Admission Control (IDAC).
7.5. Admission Control in UMTS.
7.6. Admission Control for Non-real time Application.
7.7. Load Control (LC).
8. Chapter COMBINING DIFFERENT RADIO RESOURCES.
8.1. Some radio resources interrelations.
8.2. Power and rate control.
8.3. Mathematical formulation of the RRM problem in MO framework.
9. Chapter SMART ANTENNAS.
9.1. Smart Antennas and Adaptation.
9.2. Spatial-Temporal Processing.
9.3. Joining Radio Resources with Beamforming.
9.4. Multiple Input Multiple Output (MIMO) Antennas.
10. CHAPTER Cognitive Radios and Networks.
10.1. Concepts of Cognitive Radios.
10.2. Spectrum Attention of Cognitive Radios.
10.3. Direct Spectrum Sensing.
10.4. Cognitive Radio Networks and Game Theory.
10.5. System Engineering and Cognitive Radios.



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