Radio Engineering : from Software to Cognitive Radio.
Software radio ideally provides the opportunity to communicate with any radio communication standard by modifying only the software, without any modification to hardware components. However, taking into account the static behavior of current communications protocols, the spectrum efficiency optimiza...
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
London :
Wiley,
2013.
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| Series: | ISTE.
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| Subjects: | |
| Online Access: |
Full text (Emmanuel users only) |
MARC
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| 100 | 1 | |a Palicot, Jacques. | |
| 245 | 1 | 0 | |a Radio Engineering : |b from Software to Cognitive Radio. |
| 260 | |a London : |b Wiley, |c 2013. | ||
| 300 | |a 1 online resource (406 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a ISTE | |
| 500 | |a 4.4.3.1. Bellman's equation. | ||
| 505 | 0 | |a Cover; Title Page; Copyright Page; Table of Contents; Foreword; Acknowledgments; Introduction; PART 1. COGNITIVE RADIO; Chapter 1. Introduction to Cognitive Radio; 1.1. Joseph Mitola's cognitive radio; 1.1.1. Definitions; 1.1.2. Joseph Mitola's vision of cognitive cycle; 1.2. Positioning; 1.2.1. Convergence between networks; 1.2.2. Generalized mobility without service interruption; 1.2.3. Distribution of intelligence; 1.3. Spectrum management; 1.3.1. Current situation; 1.3.2. Spectrum sharing; 1.3.2.1. Horizontal and vertical sharing; 1.3.2.2. Spectrum pooling. | |
| 505 | 8 | |a 1.3.2.3. Spectrum underlay technique1.3.2.4. Spectrum overlay technique; 1.4. A broader vision of CR; 1.4.1. Taking into account the global environment; 1.4.2. The sensorial radio bubble for CR; 1.5. Difficulties of the cognitive cycle; Chapter 2. Cognitive Terminals Toward Cognitive Networks; 2.1. Introduction; 2.2. Intelligent terminal; 2.2.1. Description; 2.2.2. Advantages; 2.2.3. Limitations; 2.3. Intelligent networks; 2.3.1. Description; 2.3.2. Advantages; 2.3.3. Limitations; 2.4. Toward a compromise; 2.4.1. Impact of the number of users; 2.4.2. Impact of spectral dimension. | |
| 505 | 8 | |a 2.5. ConclusionChapter 3. Cognitive Radio Sensors; 3.1. Lower layer sensors; 3.1.1. Hole detection sensor; 3.1.1.1. Matched filtering; 3.1.1.2. Detection; 3.1.1.3. Energy detection; 3.1.1.4. Collaborative detection; 3.1.2. Other sensors; 3.1.2.1. Recognition of channel bandwidth; 3.1.2.2. Single- and multicarrier detection; 3.1.2.3. Detection of spread spectrum type; 3.1.2.4. Other sensors of the lower layer; 3.2. Intermediate layer sensors; 3.2.1. Introduction; 3.2.2. Cognitive pilot channel; 3.2.3. Localization-based identification; 3.2.3.1. Geographical location-based systems synthesis. | |
| 505 | 8 | |a 3.2.3.2. Rights of database use and update3.2.4. Blind standard recognition sensor; 3.2.4.1. General description; 3.2.4.2. Stage 1: band adaptation; 3.2.4.3. Stage 2: analysis with lower layer sensors; 3.2.4.4. Stage 3: fusion; 3.2.5. Comparison of abovementioned three sensors for standard recognition; 3.3. Higher layer sensors; 3.3.1. Introduction; 3.3.2. Potential sensors; 3.3.3. Video sensor and compression; 3.3.3.1. Active appearance models; 3.3.3.2. A real scenario; 3.3.3.3. Different stages; 3.4. Conclusion; Chapter 4. Decision Making and Learning; 4.1. Introduction. | |
| 505 | 8 | |a 4.2. CR equipment: decision and/or learning4.2.1. Cognitive agent; 4.2.2. Conflicting objectives; 4.2.3. A modeling part in all approaches; 4.2.4. Decision making and learning: network equipment; 4.3. Decision design space; 4.3.1. Decision constraints; 4.3.1.1. Environmental constraints; 4.3.1.2. User constraints; 4.3.1.3. Equipment capacity constraints; 4.3.2. Cognitive radio design space; 4.4. Decision making and learning from the equipment's perspective; 4.4.1. A priori uncertainty measurements; 4.4.2. Bayesian techniques; 4.4.3. Reinforcement techniques: general case. | |
| 520 | |a Software radio ideally provides the opportunity to communicate with any radio communication standard by modifying only the software, without any modification to hardware components. However, taking into account the static behavior of current communications protocols, the spectrum efficiency optimization, and flexibility, the radio domain has become an important factor. From this thinking appeared the cognitive radio paradigm. This evolution is today inescapable in the modern radio communication world. It provides an autonomous behavior to the equipment and therefore the adaptation of commun. | ||
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Cognitive radio networks. | |
| 650 | 0 | |a Software radio. | |
| 776 | 0 | 8 | |i Print version: |a Palicot, Jacques. |t Radio Engineering : from Software to Cognitive Radio. |d London : Wiley, ©2013 |z 9781848212961 |
| 830 | 0 | |a ISTE. | |
| 852 | |b Online |h ProQuest | ||
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