(ebook) McGraw Hill - Wireless Communications

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Chapter1.pdf
	Chapter1.pdf
	1 Linerar Diversity Techniques for Fading Channels
	1.1. System and Fading Channel Models
	1.2. Transmision without diversity
	1.3. Spectral Diversity
	1.4. Temporal Diversity
	1.4.1. Spread-Response Precoding
	1.4.2. Incorporating Bandwidth Expansion
	1.4.3. Coherence-Time Scaling
	1.5. Diversity Methods for Multiuser Systems
	1.5.1. Multiuser Fading Channels
	1.5.2. Multiple Access and Multiplexing formats
	1.5.3. Orthogonal Multiuser Modulation
	1.5.4. Spread-Signature CDMA Systems
	1.5.5. CDMA Performance Characteristics
	1.5.6. Coherence-Time Scaling
	1.5.7. Efficient Implementations of Spread-Response Precoding
	1.6. Spatial Diversity
	1.6.1. Receiver Antenna Diversity
	1.6.2. Transmitter Antenna Diversity
	1.6.2.1. Beamforming Diversity with Feedback
	1.6.2.2. Linear Antenna Precoding
	1.6.2.3. Dual-form Linear Antenna Precoding
	1.6.2.4. Incorporating Bandwidth Expansion
	1.7. Concluding Remarks
	Chapter2.pdf
	2 Adaptative Interference Suppresion
	2.1. Multiple-Access Signel Model
	2.2. Elements of Multiuser Detection
	2.3. Linear Interference Suppression
	2.3.1. Multiple-Input/Multiple-output (MIMO) Minumum Mean-Squared Error (MMSE) Linear Detector
	2.3.2. Zero-Forcing (Decorrelating) Detector
	2.3.3. Inplementation as a Tapped-Delay Line (TDL)
	2.4. Application to DS-CDMA
	2.4.1. Discrete-Time Representation
	2.4.2. Complutation of MMSE Coefficients
	2.4.3. Geometric Interpretation
	2.4.4. Zero-Forcing (Decorrelating) Solution
	2.4.5. Asymptotic Behavior of MMSE Solution
	2.4.6. Preformance Measures
	2.4.7. Space-Time Filtering
	2.4.8. Effect of Multipath
	2.5. Adaptative Algoritms
	2.5.1. Stochastic Gradient Algorithm
	2.5.2. Least Squares (LS) Algorithm
	2.5.3. Orthogonally Anchored (Blind) Algoritms
	2.5.4. Projection-Based Approached
	2.5.5. Numerical Examples
	2.6 Further Issues and Refinements
	2.6.1. The Mobile Wireless Environment
	2.6.1.1. Distance-Related Attenuation and Shadowing
	2.6.1.2. Multipath
	2.6.1.3. Delay
	2.6.1.4. Power Control
	2.6.1.5. Time-Varying User Population
	2.6.1.6. Narrowband Interference
	2.6.1.7. Non-Gaussian Ambient Noise
	2.6.2. System Issues
	2.6.2.1. Coding
	2.6.2.2. Power Control
	2.6.2.3. Timing Recovery
	2.6.2.4. Nonuniform Quality of Service
	2.6.2.5. Very Long Spreading Sequences
	2.6.2.6. Power Consumption
	2.7. Concluding Remarks
	References
	Acknowlegments
	Chapter3.pdf
	3 Equalization of Multiuser channels
	3.1 Characterization of Wireless Channels
	3.2 Equalization of Known Multipath Fading Channels
	3.2.1 System Model
	3.2.2 Limits on Equalizer Performance over Fading Channels-Maximum Ukelihood Sequence Detection
	3.2.2.1 Sufficient Statistics for LTI Channels
	3.2.2.2 Sufficient Statistics for Additive White Gaussian Noise Channels
	3.2.3 The Matched-Filter Receiver for Time-Varying Channels
	3.2.4 Linear Zero-Forcing Equalizers
	3.2.4.1 AWGN Channel The Descorrelating Receiver
	3.2.5 Linear MMSE Equalization
	3.2.5.1 Linear Equalization for LTI Channels
	3.2.6 Successive Correlation and Detection-Feedback Equalizers for Multiple-Access Channels
	3.2.6.1 Decision-Feedback Equalization
	3.2.6.2 Adaptative Equalization Algorithms
	3.2.6.3 Decision-Feedback Equalizers for LTI Channels
	3.2.7 Chip-Rate, State-Space Approaches for Time-Varying Channels
	3.2.7.1 Decision-Feedback Equalization
	3.3 Blind Equalization in Multipath, slowly Time-Varying Channels
	3.3.1 The Fordward Link: Blind Equalization of Single-Input Multiple-Output FIR Channels
	3.3.1.1 The Cross-Relation Method
	3.3.1.2 Subspace-Based Methods
	3.3.1.3 Direct Symbol Estimation
	3.3.1.4 Issues in the Multiple FIR Channel Deconvolution Problem
	3.3.2 Blind Equalization in the Reverse Link via Multiple Observations
	3.3.2.1 Blind Equalization Using Multiple Antennas in CDMA Systems
	3.4 Concluding Remarks
	References
	Acknowledgements