Fundamentals of Wireless Communication 1st Edition by David Tse, Pramod Viswanath ISBN 0521845270 9780521845274

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ISBN 10: 0521845270 
ISBN 13: 9780521845274
Author: David Tse, Pramod Viswanath

Fundamentals of Wireless Communication 1st Table of contents:

CHAPTER 1 Introduction
1.1 Book objective
1.2 Wireless systems
1.3 Book outline
CHAPTER 2 The wireless channel
2.1 Physical modeling for wireless channels
2.1.1 Free space, fixed transmit and receive antennas
2.1.2 Free space, moving antenna
2.1.3 Reflecting wall, fixed antenna
2.1.4 Reflecting wall, moving antenna
2.1.5 Reflection from a ground plane
2.1.6 Power decay with distance and shadowing
2.1.7 Moving antenna, multiple reflectors
2.2 Input/output model of the wireless channel
2.2.1 The wireless channel as a linear time-varying system
2.2.2 Baseband equivalent model
2.2.3 A discrete-time baseband model
2.2.4 Additive white noise
2.3 Time and frequency coherence
2.3.1 Doppler spread and coherence time
2.3.2 Delay spread and coherence bandwidth
2.4 Statistical channel models
2.4.1 Modeling philosophy
2.4.2 Rayleigh and Rician fading
2.4.3 Tap gain auto-correlation function
2.5 Bibliographical notes
2.6 Exercises
CHAPTER 3 Point-to-point communication: detection, diversity, and channel uncertainty
3.1 Detection in a Rayleigh fading channel
3.1.1 Non-coherent detection
3.1.2 Coherent detection
3.1.3 From BPSK to QPSK: exploiting the degrees of freedom
3.1.4 Diversity
3.2 Time diversity
3.2.1 Repetition coding
3.2.2 Beyond repetition coding
3.3 Antenna diversity
3.3.1 Receive diversity
3.3.2 Transmit diversity: space-time codes
Alamouti scheme
The determinant criterion for space-time code design
3.3.3 MIMO: a 2×2 example
Degrees of freedom
Spatial multiplexing
Low-complexity detection: the decorrelator
3.4 Frequency diversity
3.4.1 Basic concept
3.4.2 Single-carrier with ISI equalization
Frequency-selective channel viewed as a MISO channel
Error probability analysis
Implementing MLSD: the Viterbi algorithm
3.4.3 Direct-sequence spread-spectrum
The Rake receiver
Performance analysis
3.4.4 Orthogonal frequency division multiplexing
OFDM block length
Frequency diversity
3.5 Impact of channel uncertainty
3.5.1 Non-coherent detection for DS spread-spectrum
3.5.2 Channel estimation
3.5.3 Other diversity scenarios
3.6 Bibliographical notes
3.7 Exercises
CHAPTER 4 Cellular systems: multiple access and interference management
4.1 Introduction
4.2 Narrowband cellular systems
4.2.1 Narrowband allocations: GSM system
Performance
Signal characteristics and receiver design
4.2.2 Impact on network and system design
4.2.3 Impact on frequency reuse
4.3 Wideband systems: CDMA
4.3.1 CDMA uplink
Generation of pseudonoise sequences
Statistics of the interference
Point-to-point link design
IS-95 link design
Power control
Power control in IS-95
Soft handoff
Interference averaging and system capacity
4.3.2 CDMA downlink
4.3.3 System issues
Signal characteristics
Sectorization
Network issues
Summary 4.2 CDMA
4.4 Wideband systems: OFDM
4.4.1 Allocation design principles
4.4.2 Hopping pattern
4.4.3 Signal characteristics and receiver design
4.4.4 Sectorization
4.5 Bibliographical notes
4.6 Exercises
CHAPTER 5 Capacity of wireless channels
5.1 AWGN channel capacity
5.1.1 Repetition coding
5.1.2 Packing spheres
Summary 5.1 Reliable rate of communication and capacity
5.2 Resources of the AWGN channel
5.2.1 Continuous-time AWGN channel
5.2.2 Power and bandwidth
5.3 Linear time-invariant Gaussian channels
5.3.1 Single input multiple output (SIMO) channel
5.3.2 Multiple input single output (MISO) channel
5.3.3 Frequency-selective channel
Transformation to a parallel channel
Waterfilling power allocation
Does coding across sub-carriers help?
5.4 Capacity of fading channels
5.4.1 Slow fading channel
5.4.2 Receive diversity
5.4.3 Transmit diversity
Alamouti scheme revisited
Suboptimal schemes: repetition coding
5.4.4 Time and frequency diversity
Outage performance of parallel channels
A geometric view
Extensions
5.4.5 Fast fading channel
Capacity derivation
Impact of interleaving
Discussion
Performance comparison
5.4.6 Transmitter side information
Slow fading: channel inversion
Fast fading: waterfilling
Discussion
Waterfilling performance
Waterfilling versus channel inversion
5.4.7 Frequency-selective fading channels
5.4.8 Summary: a shift in point of view
5.5 Bibliographical notes
5.6 Exercises
CHAPTER 6 Multiuser capacity and opportunistic communication
6.1 Uplink AWGN channel
6.1.1 Capacity via successive interference cancellation
6.1.2 Comparison with conventional CDMA
6.1.3 Comparison with orthogonal multiple access
6.1.4 General K-user uplink capacity
6.2 Downlink AWGN channel
6.2.1 Symmetric case: two capacity-achieving schemes
6.2.2 General case: superposition coding achieves capacity
6.3 Uplink fading channel
6.3.1 Slow fading channel
6.3.2 Fast fading channel
6.3.3 Full channel side information
6.4 Downlink fading channel
6.4.1 Channel side information at receiver only
6.4.2 Full channel side information
6.5 Frequency-selective fading channels
6.6 Multiuser diversity
6.6.1 Multiuser diversity gain
6.6.2 Multiuser versus classical diversity
6.7 Multiuser diversity: system aspects
6.7.1 Fair scheduling and multiuser diversity
Proportional fair scheduling: hitting the peaks
Multiuser diversity and superposition coding
Multiuser diversity gain in practice
6.7.2 Channel prediction and feedback
6.7.3 Opportunistic beamforming using dumb antennas
Slow fading: opportunistic beamforming
Fast fading: increasing channel fluctuations
Antennas: dumb, smart and smarter
6.7.4 Multiuser diversity in multicell systems
6.7.5 A system view
6.8 Bibliographical notes
6.9 Exercises
CHAPTER 7 MIMO I: spatial multiplexing and channel modeling
7.1 Multiplexing capability of deterministic MIMO channels
7.1.1 Capacity via singular value decomposition
7.1.2 Rank and condition number
7.2 Physical modeling of MIMO channels
7.2.1 Line-of-sight SIMO channel
7.2.2 Line-of-sight MISO channel
7.2.3 Antenna arrays with only a line-of-sight path
7.2.4 Geographically separated antennas
Geographically separated transmit antennas
Resolvability in the angular domain
Geographically separated receive antennas
7.2.5 Line-of-sight plus one reflected path
7.3 Modeling of MIMO fading channels
7.3.1 Basic approach
7.3.2 MIMO multipath channel
7.3.3 Angular domain representation of signals
Examples of angular bases
Angular domain transformation as DFT
7.3.4 Angular domain representation of MIMO channels
7.3.5 Statistical modeling in the angular domain
7.3.6 Degrees of freedom and diversity
Diversity
7.3.7 Dependency on antenna spacing
Sampling interpretation
7.3.8 I.i.d. Rayleigh fading model
7.4 Bibliographical notes
7.5 Exercises
CHAPTER 8 MIMO II: capacity and multiplexing architectures
8.1 The V-BLAST architecture
8.2 Fast fading MIMO channel
8.2.1 Capacity with CSI at receiver
8.2.2 Performance gains
High SNR regime
Low SNR regime
Large antenna array regime
Linear scaling: a more in-depth look
8.2.3 Full CSI
Capacity
Transceiver architecture
Performance analysis
8.3 Receiver architectures
8.3.1 Linear decorrelator
Geometric derivation
Performance for a deterministic H
Performance in fading channels
8.3.2 Successive cancellation
8.3.3 Linear MMSE receiver
Limitation of the decorrelator
Derivation of the MMSE receiver
Performance
MMSE–SIC
8.3.4 Information theoretic optimality∗
MMSE is information lossless
A time-invariant channel
Fading channel
8.4 Slow fading MIMO channel
High SNR
8.5 D-BLAST: an outage-optimal architecture
8.5.1 Suboptimality of V-BLAST
A more careful look
8.5.2 Coding across transmit antennas: D-BLAST
8.5.3 Discussion
8.6 Bibliographical notes
8.7 Exercises
CHAPTER 9 MIMO III: diversity–multiplexing tradeoff and universal space-time codes
9.1 Diversity–multiplexing tradeoff
9.1.1 Formulation
9.1.2 Scalar Rayleigh channel
PAM and QAM
Optimal tradeoff
9.1.3 Parallel Rayleigh channel
9.1.4 MISO Rayleigh channel
9.1.5 2× 2 MIMO Rayleigh channel
Four schemes revisited
Optimal tradeoff
9.1.6 × MIMO i.i.d. Rayleigh channel
Optimal tradeoff
Geometric interpretation
9.2 Universal code design for optimal diversity–multiplexing tradeoff
9.2.1 QAM is approximately universal for scalar channels
9.2.2 Universal code design for parallel channels
Universal code design criterion
Examples
Universal code design criterion at high SNR
Property of an approximately universal code
Bit-reversal scheme: an operational interpretation of the outage condition
9.2.3 Universal code design for MISO channels
MISO channel viewed as a parallel channel
Universality of conversion to parallel channel
Universal code design criterion
9.2.4 Universal code design for MIMO channels
Universality of D-BLAST
Universal code design criterion
Property of an approximately universal code
9.3 Bibliographical notes
9.4 Exercises
CHAPTER 10 MIMO IV: multiuser communication
10.1 Uplink with multiple receive antennas
10.1.1 Space-division multiple access
10.1.2 SDMA capacity region
10.1.3 System implications
10.1.4 Slow fading
10.1.5 Fast fading
Receiver CSI
Full CSI
10.1.6 Multiuser diversity revisited
One user at a time policy
Optimal power allocation policy
Summary 10.2 Opportunistic communication and multiple receive antennas
10.2 MIMO uplink
10.2.1 SDMA with multiple transmit antennas
10.2.2 System implications
10.2.3 Fast fading
Receiver CSI
10.3 Downlink with multiple transmit antennas
10.3.1 Degrees of freedom in the downlink
10.3.2 Uplink–downlink duality and transmit beamforming
Uplink–downlink duality
Transmit beamforming and optimal power allocation
Beyond linear strategies
10.3.3 Precoding for interference known at transmitter
Symbol-by-symbol precoding: Tomlinson–Harashima
Dirty-paper precoding: achieving AWGN capacity
A first attempt
Performance
Performance enhancement via MMSE estimation
Transmitter knowledge of interference is enough
Dirty-paper code design
Low SNR: opportunistic orthogonal coding
10.3.4 Precoding for the downlink
Single transmit antenna
Multiple transmit antennas
10.3.5 Fast fading
Full CSI
Receiver CSI
Partial CSI at the base-station: opportunistic beamforming with multiple beams
10.4 MIMO downlink
10.5 Multiple antennas in cellular networks: a system view
10.5.1 Inter-cell interference management
10.5.2 Uplink with multiple receive antennas
Orthogonal multiple access
SDMA
10.5.3 MIMO uplink
10.5.4 Downlink with multiple receive antennas
10.5.5 Downlink with multiple transmit antennas
10.6 Bibliographical notes
10.7 Exercises
Appendix A Detection and estimation in additive Gaussian noise
A.1 Gaussian random variables
A.1.1 Scalar real Gaussian random variables
A.1.2 Real Gaussian random vectors
A.1.3 Complex Gaussian random vectors
A.2 Detection in Gaussian noise
A.2.1 Scalar detection
A.2.2 Detection in a vector space
An alternative view
A.2.3 Detection in a complex vector space
A.3 Estimation in Gaussian noise
A.3.1 Scalar estimation
A.3.2 Estimation in a vector space
A.3.3 Estimation in a complex vector space
A.4 Exercises
Appendix B Information theory from first principles
B.1 Discrete memoryless channels
B.2 Entropy, conditional entropy and mutual information
B.3 Noisy channel coding theorem
B.3.1 Reliable communication and conditional entropy
B.3.2 A simple upper bound
B.3.3 Achieving the upper bound
B.3.4 Operational interpretation
B.4 Formal derivation of AWGN capacity
B.4.1 Analog memoryless channels
B.4.2 Derivation of AWGN capacity
B.5 Sphere-packing interpretation
B.5.1 Upper bound
B.5.2 Achievability
B.6 Time-invariant parallel channel
B.7 Capacity of the fast fading channel
B.7.1 Scalar fast fading channnel
Ideal interleaving
Stationary ergodic fading
B.7.2 Fast fading MIMO channel
B.8 Outage formulation
B.9 Multiple access channel
B.9.1 Capacity region
B.9.2 Corner points of the capacity region
B.9.3 Fast fading uplink
B.10 Exercises

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