cognitive radio spectrum management下载

weixin_39821260 2019-07-18 04:00:30

Q-learning在认知无线电系统中的应用，非常好的英文文献。
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Q-learning在认知无线电系统中的应用，非常好的英文文献。

09年新书，很好的知无线电网络中的频谱接入和管理，下面是IEEE的书评： The book is divided into three parts. Part one is a general introduction to wire- less communication systems, reviewing communication architectures and tech- nologies, as well as resource allocation protocols and dynamic spectrum access, discussing features, research challenges, and standardization. Part two is a further discussion on wireless system design with a focus on analysis of dynamic spectrum access systems. A brief introduction to signal processing and optimization tech- niques is presented, as well as basics of game theory and intelligent algorithms (e.g., machine learning, genetic algo- rithms, and fuzzy logic). Finally, part three discusses in detail dynamic spec- trum access and management. Models and architectures of dynamic spectrum access are introduced and described in detail. The authors first present the cen- tralized dynamic spectrum access model, and later focus on the distributed approach. Distributed dynamic spectrum access is discussed from the algorithmic and protocol perspectives in separate chapters. Finally, a spectrum trading model is presented with its applications to wireless communications. This book is a valuable source of information for people new to the con- cept of dynamic spectrum access. Also, scientists and engineers already involved in dynamic spectrum access research will find this book a good reference source. This is one of the few books on the mar- ket related to dynamic spectrum access and cognitive radio written completely by the authors themselves. Therefore, it is very cohesive, has a very good flow, and does not repeat itself while intro- ducing new concepts, as do many edited books on a similar topic available on the market. Many concepts of dynamic spec- trum access are well systematized in the book, and the literature review is very broad and complete. One small draw- back is a bit too lengthy introduction to wireless communication systems in part two of the book (which can e

Abstract—Cognitive radio is viewed as a novel approach for improving the utilization of a precious natural resource: the radio electromagnetic spectrum. The cognitive radio, built on a software-defined radio, is defined as an intelligent wireless communication system that is aware of its environment and uses the methodology of understanding-by-building to learn from the environment and adapt to statistical variations in the input stimuli, with two primary objectives in mind: • highly reliable communication whenever and wherever needed; • efficient utilization of the radio spectrum. Following the discussion of interference temperature as a new metric for the quantification and management of interference, the paper addresses three fundamental cognitive tasks. 1) Radio-scene analysis. 2) Channel-state estimation and predictive modeling. 3) Transmit-power control and dynamic spectrum management. This paper also discusses the emergent behavior of cognitive radio.

authors: Ian F. Akyildiz, Won-Yeol Lee, Mehmet C. Vuran *, Shantidev Mohanty Abstract Today’s wireless networks are characterized by a fixed spectrum assignment policy. However, a large portion of the assigned spectrum is used sporadically and geographical variations in the utilization of assigned spectrum ranges from 15% to 85% with a high variance in time. The limited available spectrum and the inefficiency in the spectrum usage necessitate a new communication paradigm to exploit the existing wireless spectrum opportunistically. This new networking paradigm is referred to as NeXt Generation (xG) Networks as well as Dynamic Spectrum Access (DSA) and cognitive radio networks. The term xG networks is used throughout the paper. The novel functionalities and current research challenges of the xG networks are explained in detail. More specifically, a brief overview of the cognitive radio technology is provided and the xG network architecture is introduced. Moreover, the xG network functions such as spectrum management, spectrum mobility and spectrum sharing are explained in detail. The influence of these functions on the performance of the upper layer protocols such as routing and transport are investigated and open research issues in these areas are also outlined. Finally, the cross-layer design challenges in xG networks are discussed. 2006 Elsevier B.V. All rights reserved.

作者：Professor Kwang-Cheng Chen，Professor Ramjee Prasad 出版：Wiley 2009 目录 Preface xi 1 Wireless Communications 1 1.1 Wireless Communications Systems 1 1.2 Orthogonal Frequency Division Multiplexing (OFDM) 3 1.2.1 OFDM Concepts 4 1.2.2 Mathematical Model of OFDM System 5 1.2.3 OFDM Design Issues 9 1.2.4 OFDMA 21 1.3 MIMO 24 1.3.1 Space-Time Codes 24 1.3.2 Spatial Multiplexing Using Adaptive Multiple Antenna Techniques 27 1.3.3 Open-loop MIMO Solutions 27 1.3.4 Closed-loop MIMO Solutions 29 1.3.5 MIMO Receiver Structure 31 1.4 Multi-user Detection (MUD) 34 1.4.1 Multi-user (CDMA) Receiver 34 1.4.2 Suboptimum DS/CDMA Receivers 37 References 40 2 Software Defined Radio 41 2.1 Software Defined Radio Architecture 41 2.2 Digital Signal Processor and SDR Baseband Architecture 43 2.3 Reconfigurable Wireless Communication Systems 46 2.3.1 Unified Communication Algorithm 46 2.3.2 Reconfigurable OFDM Implementation 47 2.3.3 Reconfigurable OFDM and CDMA 47 2.4 Digital Radio Processing 48 2.4.1 Conventional RF 48 2.4.2 Digital Radio Processing (DRP) Based System Architecture 52 References 58 3 Wireless Networks 59 3.1 Multiple Access Communications and ALOHA 60 3.1.1 ALOHA Systems and Slotted Multiple Access 61 3.1.2 Slotted ALOHA 61 3.1.3 Stabilised Slotted ALOHA 64 3.1.4 Approximate Delay Analysis 65 3.1.5 Unslotted ALOHA 66 3.2 Splitting Algorithms 66 3.2.1 Tree Algorithms 67 3.2.2 FCFS Splitting Algorithm 68 3.2.3 Analysis of FCFS Splitting Algorithm 69 3.3 Carrier Sensing 71 3.3.1 CSMA Slotted ALOHA 71 3.3.2 Slotted CSMA 76 3.3.3 Carrier Sense Multiple Access with Collision Detection (CSMA/CD) 79 3.4 Routing 82 3.4.1 Flooding and Broadcasting 83 3.4.2 Shortest Path Routing 83 3.4.3 Optimal Routing 83 3.4.4 Hot Potato (Reflection) Routing 84 3.4.5 Cut-through Routing 84 3.4.6 Interconnected Network Routing 84 3.4.7 Shortest Path Routing Algorithms 84 3.5 Flow Control 89 3.5.1 Window Flow Control 89 3.5.2 Rate Control Schemes 91 3.5.3 Queuing Analysis of the Leaky Bucket Scheme 9

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