Beschreibung
Inhaltsangabe1. Introduction. 1.1. The Dawn of Digital Communications. 1.2. Multiple Terminal Networks. 1.3. Multiple-Access Channel. 1.4. Degrees of Coordination. 1.5. Network vs. Signal Processing Complexity. 1.6. Future Directions. 2. Linear Multiple-Access. 2.1 Continuous Time Model. 2.2. Discrete Time Model. 2.3. Matrix-Algebraic Representation. 2.4. Symbol Synchronous Model. 2.5. Principles of Detection. 2.6. Access Strategies. 2.7. Sequence Design. 3. Multiuser Information Theory. 3.1 Introduction. 3.2. The Multiple-Access Channel. 3.3. Binary-Input Channels. 3.4. Gaussian Multiple-Access Channels. 3.5. Multiple-Access Codes. 3.6. Superposition and Layering. 3.7. Feedback. 3.8. Asynchronous Channels. 4. Multiuser Detection. 4.1. Introduction. 4.2. Optimal Detection. 4.3. Sub-Exponential Complexity Signature Sequences. 4.4. Signal Layering. 4.5. Different Received Power Levels. 5. Implementation of Multiuser Detectors. 5.1. Iterative Filter Implementation. 5.2. Approximate Maximum Likelihood. 5.3. Approximate APP Computation. 5.4. List Sphere Detector. 6. Joint Multiuser Decoding. 6.1. Introduction. 6.2. Single-User Decoding. 6.3. Iterative Decoding. 6.4 Filters in the Loop. 6.5. Asymmetric Operating Conditions. 6.6. Proof of Lemma 6.7. A. Estimation and Detection. A.1. Bayesian Estimation and Detection. A.2. Sufficiency. A.3. Linear Cost. A.4. Quadratic Cost. A.4.1. Minimum Mean Squared Error. A.4.2. Cramér-Rao Inequality. A.4.3. Jointly Gaussian Model. A.4.4. Linear MMSE Estimation. A.5. Hamming Cost. A.5.1. Minimum probability of Error. A.5.2. Relation to the MMSE Estimator. A.5.3. Maximum Likelihood Estimation. References. Author Index. Subject Index.
Inhalt
1. Introduction. 1.1. The Dawn of Digital Communications. 1.2. Multiple Terminal Networks. 1.3. Multiple-Access Channel. 1.4. Degrees of Coordination. 1.5. Network vs. Signal Processing Complexity. 1.6. Future Directions. 2. Linear Multiple-Access. 2.1 Continuous Time Model. 2.2. Discrete Time Model. 2.3. Matrix-Algebraic Representation. 2.4. Symbol Synchronous Model. 2.5. Principles of Detection. 2.6. Access Strategies. 2.7. Sequence Design. 3. Multiuser Information Theory. 3.1 Introduction. 3.2. The Multiple-Access Channel. 3.3. Binary-Input Channels. 3.4. Gaussian Multiple-Access Channels. 3.5. Multiple-Access Codes. 3.6. Superposition and Layering. 3.7. Feedback. 3.8. Asynchronous Channels. 4. Multiuser Detection. 4.1. Introduction. 4.2. Optimal Detection. 4.3. Sub-Exponential Complexity Signature Sequences. 4.4. Signal Layering. 4.5. Different Received Power Levels. 5. Implementation of Multiuser Detectors. 5.1. Iterative Filter Implementation. 5.2. Approximate Maximum Likelihood. 5.3. Approximate APP Computation. 5.4. List Sphere Detector. 6. Joint Multiuser Decoding. 6.1. Introduction. 6.2. Single-User Decoding. 6.3. Iterative Decoding. 6.4 Filters in the Loop. 6.5. Asymmetric Operating Conditions. 6.6. Proof of Lemma 6.7. A. Estimation and Detection. A.1. Bayesian Estimation and Detection. A.2. Sufficiency. A.3. Linear Cost. A.4. Quadratic Cost. A.4.1. Minimum Mean Squared Error. A.4.2. Cramer-Rao Inequality. A.4.3. Jointly Gaussian Model. A.4.4. Linear MMSE Estimation. A.5. Hamming Cost. A.5.1. Minimum probability of Error. A.5.2. Relation to the MMSE Estimator. A.5.3. Maximum Likelihood Estimation. References. Author Index. Subject Index.
