Uncoded Multimedia Transmission
- Length: 348 pages
- Edition: 1
- Language: English
- Publisher: CRC Press
- Publication Date: 2021-07-19
- ISBN-10: 0367632950
- ISBN-13: 9780367632953
- Sales Rank: #0 (See Top 100 Books)
An uncoded multimedia transmission (UMT) system is one that skips quantization and entropy coding in compression and all subsequent binary operations, including channel coding and bit-to-symbol mapping of modulation. By directly transmitting non-binary symbols with amplitude modulation, the uncoded system avoids the annoying cliff effect observed in the coded transmission system. This advantage makes uncoded transmission more suited to both unicast in varying channel conditions and multicast to heterogeneous users.
Particularly, in the first part of Uncoded Multimedia Transmission, we consider how to improve the efficiency of uncoded transmission and make it on par with coded transmission. We then address issues and challenges regarding how to better utilize temporal and spatial correlation of images and video in the uncoded transmission, to achieve the optimal transmission performance. Next, we investigate the resource allocation problem for uncoded transmission, including subchannel, bandwidth and power allocation. By properly allocating these resources, uncoded transmission can achieve higher efficiency and more robust performance. Subsequently, we consider the image and video delivery in MIMO broadcasting networks with diverse channel quality and varying numbers of antennas across receivers. Finally, we investigate the cases where uncoded transmission can be used in conjunction with digital transmission for a balanced efficiency and adaptation capability.
This book is the very first monograph in the general area of uncoded multimedia transmission written in a self-contained format. It addresses both the fundamentals and the applications of uncoded transmission. It gives a systematic introduction to the fundamental theory and concepts in this field, and at the same time, also presents specific applications that reveal the great potential and impacts for the technologies generated from the research in this field. By concentrating several important studies and developments currently taking place in the field of uncoded transmission in a single source, this book can reduce the time and cost required to learn and improve skills and knowledge in the field.
The authors have been actively working in this field for years, and this book is the final essence of their years of long research in this field. The book may be used as a collection of research notes for researchers in this field, a reference book for practitioners or engineers, as well as a textbook for a graduate advanced seminar in this field or any related fields. The references collected in this book may be used as further reading lists or references for the readers.
Cover Half Title Series Page Title Page Copyright Page Contents Preface Acknowledgments Acronyms Part I: Video Transmission - Coded or Uncoded 1. Uncoded Video Transmission 1.1. Coded Video Transmission 1.2. Uncoded Video Transmission 1.2.1. Basic Concept 1.2.2. Theoretical Work 1.2.3. SoftCast 1.3. Challenges in UVT 2. Advances in Uncoded and Hybrid Multimedia Transmission 2.1. Advances in Uncoded Multimedia Transmission 2.1.1. Multimedia Correlation Processing 2.1.2. Resource Allocation 2.1.3. MIMO Support 2.2. Advances in HDA Multimedia Transmission 2.2.1. Theoretical Work 2.3. Summary Part II: Correlation Processing 3. Keeping Redundancy in Transmission 3.1. Introduction 3.2. Overview of the Proposed System 3.3. Resource Allocation for Spatial-Domain Transmission 3.3.1. Bandwidth Allocation 3.3.2. Power Allocation 3.4. Implementation 3.4.1. Sender 3.4.2. Receiver 3.5. Evaluation 3.5.1. Methodology 3.5.2. System Comparison 3.6. Summary 4. Distributed Uncoded Video Transmission 4.1. Introduction 4.2. Proposed DCast 4.2.1. Coset Coding 4.2.2. Coset Quantization 4.2.3. Power Allocation 4.2.4. Packaging and Transmission 4.2.5. LMMSE Decoding 4.3. Power-distortion Optimization 4.3.1. Relationship between Variables 4.3.2. MV Transmission Power and Distortion 4.3.3. MV Distortion and Prediction Noise Variance 4.3.4. Distortion Formulation 4.3.5. Solution 4.4. Experiments 4.4.1. PDO Model Verification 4.4.2. Unicast Performance 4.4.3. Robustness Test 4.4.4. Multicast Performance 4.4.5. Complexity and Bit Rate 4.5. Summary 5. Line-based Uncoded Image Transmission 5.1. Introduction 5.2. The Proposed LineCast 5.2.1. 1D Transform 5.2.2. Scalar Modulo Quantization 5.2.3. Power Allocation and Transmission 5.2.4. LLSE Decoder 5.2.5. Side Information Generation 5.2.6. MMSE Denoising 5.3. Bandwidth Expansion and Compression 5.4. Experimental Results 5.4.1. LineCast Performance 5.4.2. Broadcast Results 5.4.3. Bandwidth Expansion 5.4.4. Visual Quality 5.5. Summary Part III: Resource Allocation 6. Joint Bandwidth and Power Allocation 6.1. Introduction 6.2. Problem 6.2.1. System Model 6.2.2. Problem Statement 6.3. Analysis 6.3.1. Power Allocation Problem 6.3.2. Bandwidth Allocation Problem 6.4. Solution 6.4.1. An Iterative Algorithm 6.4.2. Proposed Fast Algorithm 6.5. Evaluation 6.5.1. Implementation 6.5.2. Settings 6.5.3. Results 6.6. Summary 7. Progressive Transmission 7.1. Introduction 7.2. Progressive Uncoded Video Transmission 7.2.1. Framework Overview 7.2.2. System Model and Problem Formulation 7.3. The Proposed Solution 7.3.1. Power Allocation 7.3.2. Scheduling 7.3.3. Approximation 7.4. Evaluation 7.4.1. Settings 7.4.2. Results in Simulated Environment 7.4.3. Trace-Driven Emulation 7.5. Summary 8. Superposed Transmission with NOMA 8.1. Introduction 8.2. System Description 8.2.1. SoftCast-based Video Encoding with SC 8.2.2. Video Reconstruction with SIC and LLSE 8.3. Problem Formulation and Analysis 8.3.1. Problem Statement and Formulation 8.3.2. Two-stage Power Allocation 8.3.3. Two-sided Matching Formulation for Chunk Scheduling 8.4. Matching Algorithm for Chunk Scheduling 8.4.1. Design and Description of Algorithm 8.4.2. Analysis of Algorithm 8.5. Performance Evaluation 8.5.1. Performance Comparison 8.5.2. Impacts of Bandwidth Compression Ratio B 8.5.3. Impacts of Chunk Size 8.6. Summary 9. Joint Subcarrier Matching and Power Allocation 9.1. Introduction 9.2. System Model 9.2.1. Overview of SSRVB 9.2.2. Spatial Decomposition 9.2.3. Robust Video Transmission 9.2.4. Spatial Scalability Analysis 9.3. Joint Subcarrier Matching and Power Allocation 9.3.1. Problem Formulation 9.3.2. Power Allocation 9.3.3. Subcarrier Matching 9.3.4. Iterative Solution 9.3.5. Channel State Information Feedback 9.4. Performance Evaluation 9.4.1. Reference Schemes 9.4.2. Results of Spatial Scalability and Joint Resource Allocation 9.4.3. Results under Single User Scenarios 9.4.4. Results under Multiple Users Scenarios 9.4.5. Computation Cost Comparison 9.5. Summary Part IV: MIMO Support 10. Channel Allocation 10.1. Introduction 10.2. Background and Motivation 10.2.1. Source Characteristics 10.2.2. Channel Characteristics 10.2.3. Source-channel Similarities 10.3. System Design 10.3.1. Overview 10.3.2. Source Decorrelation 10.3.3. Channel Decorrelation 10.3.4. Unequal Error Protection for the Coefficients 10.3.5. Managing Metadata 10.3.6. The Video Decoder 10.4. Implementation 10.4.1. ParCast+ Implementation 10.4.2. Schemes for Comparison 10.5. Evaluation 10.5.1. Experimental Setup 10.5.2. ParCast+ Microbenchmarks 10.5.3. Comparison against Alternative Schemes 10.6. Summary 11. Compressive Sampling Code 11.1. Introduction 11.2. Compressive Image Broadcasting 11.3. Sender Design 11.3.1. Power Allocation 11.3.2. Compressive Sampling and Transmission 11.4. Receiver Design 11.4.1. CS Decoder 11.5. Simulation Evaluation 11.5.1. Comparison with SoftCast 11.5.2. Comparison with Conventional Digital Schemes 11.5.3. Overall Performance in a Broadcasting Session 11.6. Summary 12. Multiple Similar Description Code 12.1. Introduction 12.2. Intuition 12.2.1. Basic Idea 12.2.2. Innovations 12.3. AirScale System Design 12.3.1. Generating MSD Sequences 12.3.2. Transform and Power Allocation 12.3.3. M-STBC Code Construction 12.3.4. Reconstruction Algorithm 12.4. Evaluation 12.4.1. Implementation 12.4.2. Environment and Settings 12.4.3. System Comparisons 12.4.4. Robustness to Radio Failures 12.5. Summary Part V: Hybrid Digital and Analog Transmission 13. A Practical HDA Design 13.1. Introduction 13.2. The Proposed HDA Framework 13.3. Optimization in Resource Allocation 13.3.1. Problem Formulation 13.3.2. Problem Analysis 13.4. A Practical Design 13.5. Implementation and Evaluation 13.5.1. Implementation 13.5.2. Settings 13.5.3. Results 13.6. Summary 14. Structure-Preserving Hybrid Digital-Analog Transmission 14.1. Introduction 14.2. SharpCast System Design 14.2.1. Overview 14.2.2. Video Decomposition 14.2.3. Digital Processing and Transmission 14.2.4. Analog Processing and Transmission 14.3. Resource Allocation 14.3.1. Problem Formulation 14.3.2. The Proposed Solution 14.3.3. Solving Sub-problem 1 14.3.4. Solving Sub-problem 2 14.4. Evaluation and Results 14.4.1. Methodology 14.4.2. Benchmark Evaluation 14.4.3. Performance Comparison 14.5. Summary 15. Superimposed Modulation for Soft Video Delivery with Hidden Resources 15.1. Introduction 15.2. Soft Video Delivery with HDA-SIM 15.2.1. An Overview of the Soft Video Delivery Framework 15.2.2. Introduction of HDA-SIM 15.2.3. Analysis of HDA-SIM 15.3. Resource Allocation in HDA-SIM 15.3.1. Problem Formulation and Definitions 15.3.2. Channel Allocation 15.3.3. Power Allocation 15.4. Implementations 15.4.1. SoftCast-SIM 15.4.2. SharpCast-SIM 15.5. Evaluations 15.5.1. Settings 15.5.2. Benchmark Evaluations of HDA-SIM 15.5.3. Performance Comparison 15.5.4. Trace-driven Emulations 15.6. Summary 16. Adaptive HDA Video Transmission in Mobile Networks 16.1. Introduction 16.2. System Overview 16.2.1. Digital Encoder 16.2.2. Packaging and Modulation 16.2.3. Maintaining the Integrity of the Specifications 16.3. Effect of Channel Prediction on Video Transmission in Mobile Networks 16.3.1. Long-range Prediction Algorithm 16.3.2. Video Content Division Strategy 16.3.3. Time Complexity of Proposed System 16.4. P-APDO in Single-user Scenarios 16.4.1. Power Allocation Strategy in Hybrid Digital-Analog Transmission 16.4.2. Chunk-based Power Allocation 16.4.3. Subband-based Adaptive Power Distortion Optimization 16.5. P-APDO in Multi-user Scenarios 16.5.1. Multi-user Power Allocation Strategy in Hybrid Digital-Analog Transmission 16.5.2. Chunk-based Power Pre-allocation for Multi-user Parallel Transmission 16.5.3. Power Re-allocation among Chunks Being Transmitted 16.5.4. Subband-based Adaptive Power Distortion Optimization 16.6. Performance Evaluation 16.6.1. Simulation Results in Single-user Scenarios 16.6.2. Simulation Results in Multi-user Scenarios 16.7. Summary References Index
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