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E-raamat: Transmission Techniques for Emergent Multicast and Broadcast Systems

, (Instituto de Telecomunicações, ISCTE, Portugal), (Instituto de Telecomunicações, FCT-UNL, Lisboa, Portugal), (Instituto de Telecomunicações, ISCTE, Lisboa, ), (Instituto de Telecomunicações and Universidade Autonoma de Lisboa, Portugal)
  • Formaat: 309 pages
  • Ilmumisaeg: 25-May-2010
  • Kirjastus: Taylor & Francis Inc
  • Keel: eng
  • ISBN-13: 9781040168905
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Transmission Techniques for Emergent Multicast and Broadcast SystemsSuurem pilt
  • Formaat: 309 pages
  • Ilmumisaeg: 25-May-2010
  • Kirjastus: Taylor & Francis Inc
  • Keel: eng
  • ISBN-13: 9781040168905
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Describing efficient transmission schemes for broadband wireless systems, Transmission Techniques for Emergent Multicast and Broadcast Systems examines advances in transmission techniques and receiver designs capable of supporting the emergent wireless needs for multimedia broadcast and multicast service (MBMS) requirements. It summarizes the research and development taking place in wireless communications for multimedia MBMS and addresses the means to improved spectral efficiency to allow for increased user bit rate, as well as increased capacity of the digital cellular radio network.

The text highlights essential requirements for new services, providing a clear understanding of the corresponding fundamentals and theory needed to fulfill such requirements. Although the schemes and transmission and detection techniques presented are applicable to a wide range of digital communication systems, including wireless, cellular, and satellite, the text maintains a focus on multimedia services using multicast and broadcast techniques. It also:











Reports on important enhancements, including transmission techniques, receiver designs, and multi-resolution schemes for modern broadband wireless systems





Covers key aspects in the development of emergent services to support the requirements of new services





Discusses the transition from Wideband Code Division Multiple Access (WCDMA) to block transmission techniques





Considers advanced receivers such as iterative (turbo) equalization schemes for these techniques

This complete resource includes coverage of Multiple InputMultiple Output (MIMO), hierarchical constellations, multi-resolution transmission, macro-diversity principles, and different frequency reuse schemes. It also proposes advances for different propagation and multi-user environments, using both WCDMA and Orthogonal Frequency Division Multiple Access (OFDMA). The text concludes by explaining how to effectively combine these techniques and enhancements for the purpose of implementing the evolved MBMS (E-MBMS).
Preface ix
Authors xi
1 Introduction
1(30)
1.1 Requirements for MBMSs
2(2)
1.2 Transmission Techniques to Support Wireless Advances for MBMS Requirements
4(16)
1.2.1 Wideband Code Division Multiple Access
5(3)
1.2.2 Orthogonal Frequency Division Multiplexing
8(2)
1.2.3 Multiple Input-Multiple Output
10(3)
1.2.4 Hierarchical QAM Constellations
13(2)
1.2.5 Multiresolution Transmission Schemes
15(1)
1.2.6 Macrodiversity
16(3)
1.2.7 Multihop Relays
19(1)
1.3 Current and Emergent Wireless Systems
20(11)
1.3.1 HSPA Improvements
20(2)
1.3.2 LTE Specifications
22(1)
1.3.3 Expectations for 4G
23(2)
1.3.4 Wi-Fi Overview
25(1)
1.3.5 WiMAX Overview
26(5)
2 Transmission Techniques for Broadband Systems
31(42)
2.1 Spread Spectrum Communications
31(11)
2.1.1 General Model
33(3)
2.1.2 Narrowband CDMA
36(2)
2.1.3 Wideband CDMA
38(4)
2.2 OFDM Schemes
42(18)
2.2.1 Signal Characterization
42(4)
2.2.2 Transmitter Structure
46(5)
2.2.3 Receiver Structure
51(7)
2.2.4 Envelope Fluctuations
58(2)
2.3 SC with FDE
60(9)
2.3.1 Linear FDE
60(5)
2.3.2 IB-DFE Receivers
65(4)
2.4 Performance Comparisons between OFDM and SC-FDE
69(4)
3 Channel Estimation
73(44)
3.1 Channel Estimation Requirements
74(9)
3.1.1 Performance in Flat Rayleigh Fading Channels without Diversity
74(6)
3.1.2 Performance in Flat Rayleigh Fading Channels with Diversity
80(3)
3.2 Conventional Channel Estimation
83(5)
3.3 Channel Estimation with Implicit Pilots
88(21)
3.3.1 Concept
88(2)
3.3.2 Transmitted Signals
90(4)
3.3.3 Receiver Design
94(1)
3.3.3.1 OFDM Schemes
94(3)
3.3.3.2 SC-FDE Schemes
97(1)
3.3.4 Performance Results for OFDM Schemes
98(5)
3.3.5 Performance Results for SC-FDE Schemes
103(6)
3.4 Channel Estimation for CDMA Transmissions
109(8)
4 Hierarchical Constellations
117(52)
4.1 Constellation Design
117(6)
4.2 BER Analysis of Hierarchical M-QAM Constellations
123(18)
4.2.1 AWGN Channel
123(1)
4.2.1.1 16-HQAM
123(2)
4.2.1.2 M-HQAM
125(2)
4.2.2 Flat Fading Channel with Perfect Channel Estimation
127(5)
4.2.3 MFB in Multipath Rayleigh Fading Channels
132(1)
4.2.3.1 Slow Fading Channel
133(4)
4.2.3.2 Fast Fading Channel
137(4)
4.3 Channel Estimation Issues
141(28)
4.3.1 Flat Rayleigh Fading with Imperfect Channel Estimation
142(1)
4.3.1.1 No Diversity
142(5)
4.3.1.2 With Diversity
147(3)
4.3.2 Enhanced Channel Estimation for CDMA Transmissions
150(11)
4.3.3 Enhanced Channel Estimation for OFDM
161(1)
4.3.3.1 Conventional Pilots
162(2)
4.3.3.2 Superimposed Pilots
164(5)
5 Multiantenna Systems
169(60)
5.1 Channel Capacity for Multiantennas Systems
170(4)
5.2 Transmit and Receive Diversity Gains
174(14)
5.2.1 Open/Closed Loop Techniques for Flat Fading
174(1)
5.2.1.1 Open Loop Techniques
174(2)
5.2.1.2 Closed Loop Techniques
176(1)
5.2.2 WCDMA
177(3)
5.2.3 SC-FDE/OFDM
180(1)
5.2.3.1 STBC for Two Antennas
181(1)
5.2.3.2 STBC for Four Antennas
182(1)
5.2.3.3 Receiver Design
183(3)
5.2.3.4 Performance Results
186(2)
5.3 Spatial Multiplexing
188(25)
5.3.1 Spatial Multiplexing: WCDMA
188(1)
5.3.1.1 MPIC for HSDPA
188(3)
5.3.1.2 MMSE Receiver for WCDMA
191(10)
5.3.2 Spatial Multiplexing: SC-FDE
201(3)
5.3.2.1 Iterative Frequency-Domain Detection for MIMO-SC Systems
204(6)
5.3.3 Spatial Multiplexing: OFDM
210(1)
5.3.3.1 Frame Structure
211(2)
5.3.3.2 Results
213(1)
5.4 Antenna Correlation
213(4)
5.5 Channel Estimation
217(12)
5.5.1 Data Multiplexed Pilots
218(1)
5.5.1.1 Frame Structure
218(1)
5.5.1.2 Receiver Structure
218(1)
5.5.1.3 Channel Estimation
219(1)
5.5.2 Implicit Pilots
220(1)
5.5.2.1 Frame Structure
220(1)
5.5.2.2 Receiver Structure
220(3)
5.5.2.3 Channel Estimation
223(1)
5.5.3 Simulation and Numerical Results
223(1)
5.5.3.1 Results
224(5)
6 Multiresolution Techniques for MBMS
229(32)
6.1 Introduction to Multiresolution Using WCDMA and OFDMA
229(3)
6.2 Objectives and Requirements
232(1)
6.3 Evaluation Methodology and Simulation Assumptions
233(6)
6.3.1 LLS Design
233(1)
6.3.2 Radio Access Network (RAN) SLS
234(5)
6.4 System-Level Performance Results
239(18)
6.4.1 WCDMA Broadcast Multiresolution Results
239(1)
6.4.1.1 Multicode Results
239(1)
6.4.1.2 Hierarchical Modulation Results
240(2)
6.4.1.3 MIMO Results
242(3)
6.4.1.4 Conclusions
245(1)
6.4.2 OFDMA Broadcast Multiresolution Results
246(1)
6.4.2.1 Frequency Reuse 1/3 Results
246(8)
6.4.2.2 Frequency Reuse 1 Results
254(3)
6.5 Summary and Conclusions
257(4)
Appendix A WCDMA Channel Model
261(8)
A.1 Channel Characterization
261(3)
A.2 Channel Model Construction
264(5)
References 269(14)
Index 283
Mario Marques da Silva is a Senior Researcher at the Portuguese Institute for Telecomunications. He is also with NATO Air Command Control & Management Agency (NACMA) in Brussels, Belgium, where he manages the deployable communications of the new Air Command and Control System Program. He received his BSc in Electrical Engineering in 1992, and the MSc and PhD degrees in Electrical Engineering / Mobile Communications from the Instituto Superior Tecnico (IST), Technical University of Lisbon, Portugal.He has been involved in several telecommunications projects, either as researcher or as project leader, including research, architecture, development, analysis, simulation and testing of networking, HF, V/UHF, satellite and cellular/UMTS communications systems. He is the author of several tens of international research papers and his research interests include several areas of Mobile Communications, namely WCDMA (Wide band Code Division Multiple Access, OFDM (Orthogonal Frequency Division Multiplexing) and SC-FDE (Single Carrier Frequency Domain Equalization), Multi-User Detection, Interference Cancellation, Space-Time Coding, MIMO systems (Multiple Input, Multiple Output), Smart and Adaptive Antennas, Software Defined Radio and Mobile Ad-hoc network. He is a member of IEEE communications society and reviewer of several international publications.Americo M. C. Correia received his BSc degree in electrical engineering from the University of Angola in 1983, and his MSc and PhD degrees from Instituto Superior Tecnico (IST-UTL), Lisbon, Portugal, in 1990 and 1994, respectively. From 1991 to 1999 he was with IST as an assistant professor. He is currently a full professor with Instituto Superior de Ciencias do Trabalho e da Empresa (ISCTE-IUL), Lisbon, Portugal. He visited Nokia Research Center from September to December 1998 as a visiting scientist. From September 2000 to August 2001he worked for Ericsson EurolabNetherl
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