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OFDM: Concepts for Future Communication Systems [Hardback]

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  • Formāts: Hardback, 254 pages, height x width: 235x155 mm, weight: 570 g, XIV, 254 p., 1 Hardback
  • Sērija : Signals and Communication Technology
  • Izdošanas datums: 23-Mar-2011
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642174957
  • ISBN-13: 9783642174957
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OFDM: Concepts for Future Communication SystemsPalielināt
  • Formāts: Hardback, 254 pages, height x width: 235x155 mm, weight: 570 g, XIV, 254 p., 1 Hardback
  • Sērija : Signals and Communication Technology
  • Izdošanas datums: 23-Mar-2011
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642174957
  • ISBN-13: 9783642174957
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783642174957.html
Keywords:
(Preliminary): The Orthogonal Frequency Division Multiplexing (OFDM) digital transmission technique has several advantages in broadcast and mobile communications applications. The main objective of this book is to give a good insight into these efforts, and provide the reader with a comprehensive overview of the scientific progress which was achieved in the last decade. Besides topics of the physical layer, such as coding, modulation and non-linearities, a special emphasis is put on system aspects and concepts, in particular regarding cellular networks and using multiple antenna techniques. The work extensively addresses challenges of link adaptation, adaptive resource allocation and interference mitigation in such systems. Moreover, the domain of cross-layer design, i.e. the combination of physical layer aspects and issues of higher layers, are considered in detail. These results will facilitate and stimulate further innovation and development in the design of modern communication systems, based on the powerful OFDM transmission technique.

The Orthogonal Frequency Division Multiplexing (OFDM) digital transmission technique has advantages in broadcast and mobile communications applications. This book gives a good insight into these, and provides an overview of the scientific progress.
1 Introduction
1(14)
1.1 Radio Channel Behavior
2(3)
1.2 Basics of the OFDM Transmission Technique
5(5)
1.3 OFDM Combined with Multiple Access Schemes
10(5)
2 Channel Modeling
15(18)
2.1 Joint Space-Time-Frequency Representation
16(2)
2.1.1 Multidimensional Channel Sounding
17(1)
2.1.2 Extraction of Parameters for Dominant MPCs
17(1)
2.2 Deterministic Modeling
18(2)
2.2.1 Relevant GTD/UTD Aspects
18(1)
2.2.2 Vechicle2X Channel Modeling
19(1)
2.3 Stochastic Driving of Multi-Path Model
20(13)
2.3.1 Usage of the Large-Scale Parameters for Channel Characterization
21(3)
2.3.2 Relaying
24(1)
2.3.3 Cooperative Downlink
24(9)
3 Link-Level Aspects
33(76)
3.1 OFDM Data Detection and Channel Estimation
33(14)
3.1.1 Introduction
33(1)
3.1.2 Data Detection in the Presence of Nonlinear Distortions
33(6)
3.1.3 Joint Data Detection and Channel Estimation
39(8)
3.2 Spreading
47(7)
3.2.1 Introduction
47(1)
3.2.2 MC-CDM and MC-CAFS
48(1)
3.2.3 Simulation Results
49(2)
3.2.4 Concluding Remarks
51(3)
3.3 Iterative Diversity Reception for Coded OFDM Transmission Over Fading Channels
54(7)
3.3.1 Introduction
54(1)
3.3.2 Turbo Diversity
55(1)
3.3.3 Optimization for Turbo Diversity
56(1)
3.3.4 Performance Evaluation
57(2)
3.3.5 Summary
59(2)
3.4 MMSE-based Turbo Equalization Principles for Frequency Selective Fading Channels
61(8)
3.4.1 Introduction
61(1)
3.4.2 System Model
61(1)
3.4.3 MMSE Turbo Equalization Principles
62(4)
3.4.4 Summary
66(3)
3.5 Peak-to-Average Power Ratio Reduction in Multi-Antenna Scenarios
69(12)
3.5.1 Introduction and Overview on PAR Reduction Schemes
69(2)
3.5.2 PAR Reduction Schemes for MIMO Transmission
71(3)
3.5.3 Numerical Results
74(1)
3.5.4 Summary
74(7)
3.6 Single- vs. Multicarrier Transmission in MIMO and Multiuser Scenarios
81(9)
3.6.1 Introduction
81(1)
3.6.2 Point-to-Point MIMO Transmission
81(1)
3.6.3 Up- and Downlink Scenarios in Multiuser Transmission
82(2)
3.6.4 Aspects of Channel Coding
84(1)
3.6.5 Summary
85(5)
3.7 Successive Bit Loading Concept
90(8)
3.7.1 Introduction
90(1)
3.7.2 System Model
91(1)
3.7.3 Bit Loading Algorithm
92(2)
3.7.4 Results
94(2)
3.7.5 Summary
96(2)
3.8 Adaptive Transmission Techniques
98(11)
3.8.1 Introduction
98(1)
3.8.2 Adaptive Modulation and Coding
98(1)
3.8.3 Adaptive MIMO Transmission
99(3)
3.8.4 Signaling of the Bit Allocation Table
102(1)
3.8.5 Automatic Modulation Classification
103(2)
3.8.6 Summary
105(4)
4 System Level Aspects for Single Cell Scenarios
109(56)
4.1 Efficient Analysis of OFDM Channels
109(6)
4.1.1 Introduction
109(1)
4.1.2 The Channel Matrix G
109(2)
4.1.3 Common Channel Operator Models
111(1)
4.1.4 Computing the Channel Matrix G
112(3)
4.2 Generic Description of a MIMO-OFDM-Radio-Transmission-Link
115(7)
4.2.1 Introduction
115(1)
4.2.2 System Model
115(1)
4.2.3 Performance Analysis
116(2)
4.2.4 Generic Model
118(2)
4.2.5 Summary and Further Work
120(2)
4.3 Resource Allocation Using Broadcast Techniques
122(6)
4.3.1 Motivation
122(1)
4.3.2 Resource Allocation Algorithms
122(6)
4.4 Rate Allocation for the 2-User Multiple Access Channel with MMSE Turbo Equalization
128(5)
4.4.1 Introduction
128(1)
4.4.2 Turbo Equalization
128(1)
4.4.3 Rate Allocation using EXIT Charts
129(2)
4.4.4 Summary
131(2)
4.5 Coexistence of Systems
133(3)
4.6 System Design for Time-Variant Channels
136(6)
4.6.1 Multicarrier Systems for Rapidly Moving Receivers
136(2)
4.6.2 Highly Mobile MIMO-OFDM-Transmission in Realistic Propagation Scenarios
138(4)
4.7 Combination of Adaptive and Non-Adaptive Multi-User OFDMA Schemes in the Presence of User-Dependent Imperfect CSI
142(4)
4.7.1 Introduction
142(1)
4.7.2 Combining Transmission Schemes
142(1)
4.7.3 Numerical Results
143(3)
4.8 Integration of COFDM Systems with Multiple Antennas and Design of Adaptive Medium Access Protocols
146(4)
4.8.1 Abstract
146(1)
4.8.2 MAC Frame for SDMA Operation and Spatial Grouping
146(1)
4.8.3 Hardware Implementation of COFDM Systems with Multiple Antennas
147(3)
4.9 Large System Analysis of Nearly Optimum Low Complex Beamforming in Multicarrier Multiuser Multiantenna Systems
150(6)
4.9.1 Introduction
150(1)
4.9.2 System Model
150(1)
4.9.3 Description of Algorithms
151(1)
4.9.4 Approximation of the Ergodic Sum Rate with Large System Analysis
152(2)
4.9.5 Numerical Results
154(2)
4.10 Combined Radar and Communication Systems Using OFDM
156(9)
4.10.1 Introduction
156(1)
4.10.2 Signal Design
156(2)
4.10.3 The Radar Subsystem
158(2)
4.10.4 Measurements
160(3)
4.10.5 Summary
163(2)
5 System Level Aspects for Multiple Cell Scenarios
165(50)
5.1 Link Adaptation
165(15)
5.1.1 Motivation
165(1)
5.1.2 Example of a Multiple Link Scenario
165(4)
5.1.3 Adaptation of Physical Link Parameters
169(7)
5.1.4 Cross-Layer Adaptation
176(2)
5.1.5 Multiple Link Network - Overall Adaptation
178(2)
5.2 System Concept for a MIMO-OFDM-Based Self-Organizing Data Transmission Network
180(12)
5.2.1 Introduction
180(1)
5.2.2 Beamforming Concepts
181(1)
5.2.3 System Concept
182(8)
5.2.4 Summary
190(2)
5.3 Pricing Algorithms for Power Control, Beamformer Design, and Interference Alignment in Interference Limited Networks
192(7)
5.3.1 Introduction
192(1)
5.3.2 System Model
192(1)
5.3.3 Distributed Interference Pricing
193(3)
5.3.4 MIMO Interference Networks and Interference Alignment
196(2)
5.3.5 Summary
198(1)
5.4 Interference Reduction: Cooperative Communication with Partial CST in Mobile Radio Cellular Networks
199(16)
5.4.1 Introduction
199(1)
5.4.2 System Model and Reference Scenario
200(3)
5.4.3 Significant CSI Selection Algorithm and Channel Matrix Formalism
203(2)
5.4.4 Decentralized JD/JT with Significant CSI for Interference Reduction
205(3)
5.4.5 Impact of Imperfect CSI on Cooperative Communication Based on JD/JT
208(2)
5.4.6 Advanced Algorithm Based on Statistical Knowledge of Imperfect CSI
210(1)
5.4.7 System Concept Based on Different Levels of Knowledge of CSI
211(1)
5.4.8 Outlook
211(4)
6 OFDM/DMT for Wireline Communications
215(36)
6.1 Discrete MultiTone (DMT) and Wireline Channel Properties
215(10)
6.1.1 Properties of the Twisted-Pair Channel
215(4)
6.1.2 Discrete MultiTone (DMT)
219(6)
6.2 Optical OFDM Transmission and Optical Channel Properties
225(2)
6.3 Impulse-Noise Cancellation
227(6)
6.3.1 Common Mode and Differential Mode
227(1)
6.3.2 Coupling and Transfer Functions
227(1)
6.3.3 Common-Mode Reference-Based Canceler
227(2)
6.3.4 Impulse Noise Detection and Cancellation
229(1)
6.3.5 Simulation Results
230(3)
6.4 Dual Polarization Optical OFDM Transmission
233(5)
6.4.1 Setup
233(1)
6.4.2 Noise Variance Estimation
234(3)
6.4.3 ADC/DAC Resolution
237(1)
6.5 Forward Error Correction
238(5)
6.5.1 BICM-ID System Model
239(2)
6.5.2 Influence of the Applied Mapping
241(1)
6.5.3 Simulations on the Performance of Coded OFDM
241(2)
6.6 Summary
243(8)
Index 251