IEEE 1900.5.2 2017:2018 Edition
$80.71
IEEE Standard for Method for Modeling Spectrum Consumption
| Published By | Publication Date | Number of Pages |
| IEEE | 2018 | 152 |
New IEEE Standard – Active. A vendor-independent generalized method for modeling spectrum consumption of any type of use of radio frequency spectrum and the attendant computations for arbitrating the compatibility among models are defined in this standard. The methods of modeling are chosen to support the development of tractable algorithms for determining the compatibility between models and for performing various spectrum management tasks that operate on a plurality of models. The modeling methods are exclusively focused on capturing spectrum use but are defined in a schema that can be joined with otherre schemata related to spectrum management.
PDF Catalog
| PDF Pages | PDF Title |
|---|---|
| 1 | IEEE Std 1900.5.2-2017 Front cover |
| 2 | Title page |
| 4 | Important Notices and Disclaimers Concerning IEEE Standards Documents |
| 7 | Participants |
| 9 | Introduction |
| 10 | Contents |
| 14 | 1. Overview 1.1 Scope 1.2 Purpose |
| 15 | 2. Normative references 3. Definitions, acronyms, and abbreviations 3.1 Word usage 3.2 Definitions |
| 16 | 3.3 Acronyms and abbreviations |
| 17 | 3.4 Symbols |
| 20 | 4. Data conventions 5. Purpose and use of SCMs 5.1 General |
| 21 | 5.2 Capturing spectrum use of RF devices 5.3 Capturing spectrum use of RF systems 5.4 Model-based spectrum management (MBSM) 5.4.1 General 5.4.2 Loose coupling spectrum management |
| 23 | 5.4.3 Independent modeling of RF systems 5.4.4 Common methods for arbitrating compatibility of models 5.5 Radio spectrum use policy |
| 24 | 6. Spectrum-dependent devices, systems, and sets 6.1 General 6.2 Spectrum-dependent devices 6.2.1 General 6.2.2 Transmitter models |
| 25 | 6.2.3 Receiver models 6.3 System models 6.4 SCM sets 6.5 SCM messages and data |
| 27 | 7. Special data structures 7.1 General 7.2 Specifying confidence |
| 28 | 7.3 Specifying values by direction |
| 30 | 7.4 Spectral masks 8. Modeling constructs 8.1 General |
| 31 | 8.2 Reference Power 8.2.1 General 8.2.2 Purpose and use 8.2.3 Data elements and their meaning |
| 32 | 8.2.4 Modeling requirement 8.3 Spectrum mask 8.3.1 Purpose and use |
| 33 | 8.3.2 Data elements and their meaning |
| 36 | 8.3.3 Modeling requirement 8.4 Underlay mask 8.4.1 Purpose and use |
| 38 | 8.4.2 Data elements and their meaning |
| 43 | 8.4.3 Modeling requirement |
| 44 | 8.5 Power map 8.5.1 Purpose and use |
| 45 | 8.5.2 Data elements and their meaning |
| 47 | 8.5.3 Modeling requirement |
| 48 | 8.6 Propagation map 8.6.1 Purpose and use |
| 50 | 8.6.2 Data elements and their meaning |
| 52 | 8.6.3 Modeling requirement |
| 53 | 8.7 Intermodulation (IM) mask 8.7.1 Purpose and use 8.7.2 Data elements and their meaning |
| 54 | 8.7.3 Modeling requirements |
| 56 | 8.8 Platform 8.8.1 Purpose and use 8.8.2 Data elements and their meaning |
| 57 | 8.8.3 Modeling requirement 8.9 Location 8.9.1 Purpose and use 8.9.2 Data elements and their meaning |
| 62 | 8.9.3 Modeling requirement |
| 63 | 8.10 Schedule 8.10.1 Purpose and use 8.10.2 Data elements and their meaning |
| 64 | 8.10.3 Modeling requirement 8.11 Minimum PSFD 8.11.1 Purpose and use 8.11.2 Data elements and their meaning 8.11.3 Modeling requirement |
| 65 | 8.12 Protocol or policy 8.12.1 Purpose and use 8.12.2 Data elements and their meaning |
| 66 | 8.12.3 Modeling requirement |
| 67 | 9. Modeling requirements 9.1 Transmitters 9.1.1 Model objective 9.1.2 Data model and modeling requirements |
| 68 | 9.2 Receivers 9.2.1 Model objective 9.2.2 Data model and modeling requirements |
| 70 | 9.3 Systems 9.3.1 System model objectives 9.3.2 Data model and modeling requirements |
| 71 | 9.4 Sets 9.4.1 Set objectives 9.4.2 Consumption sets 9.4.3 Authorization sets 9.4.4 Constraint sets |
| 72 | 9.4.5 Data model and modeling requirements |
| 73 | 10. Method used to compute compatibility 10.1 General |
| 74 | 10.2 Time overlap 10.3 Spectrum overlap 10.4 Link budget computations using models 10.4.1 General |
| 75 | 10.4.2 Transmitter model link budgets |
| 76 | 10.4.3 Receiver model link budgets |
| 78 | 10.4.4 Choosing a pathloss model 10.5 Power margin between a spectrum mask and an underlay mask 10.5.1 General |
| 79 | 10.5.2 Methods of computing power margin |
| 87 | 10.5.3 Selecting the appropriate underlay mask |
| 88 | 10.6 Assessing image frequency and IM effects 10.6.1 General 10.6.2 Power margin with receiver IM masks that indicate susceptibility to image frequencies |
| 89 | 10.6.3 Power margin with a transmitter IM mask |
| 91 | 10.6.4 Power margin with a receiver IM mask 10.7 Meeting protocol or policy criteria 10.8 Criteria for planar approximations |
| 92 | 10.9 Constraining points |
| 93 | 10.10 Assessing aggregate compatibility 10.10.1 General 10.10.2 Aggregate interference |
| 98 | 10.10.3 Aggregate interference with transmitter IM 10.10.4 Aggregate interference at receivers with receiver IM |
| 99 | 10.11 Interference from surfaces and volumes with multiple transmitters 11. Assessing compatibility 11.1 General 11.2 Model precedence 11.3 Assessment process 11.3.1 General |
| 100 | 11.3.2 Compatibility with an authorization set |
| 102 | 11.3.3 Compatibility with constraint or consumption set |
| 103 | 11.4 Using Confidence 11.4.1 General 11.4.2 Confidence attributes |
| 105 | 11.4.3 Probability of model states |
| 106 | 11.4.4 Assessment of compatibility of SCM that use confidence in their constructs |
| 108 | 12. Extended algorithms 12.1 General 12.2 Determining maximum secondary transmitter power 12.3 Adjusting location to achieve compatibility 12.4 Assigning channels to achieve compatibility |
| 109 | 12.5 Managing time of channel use 12.6 Visualizing spectrum availability in space 12.7 Measuring spectrum consumption |
| 110 | Annex A (informative)Bibliography |
| 111 | Annex B (informative)The World Geodetic System of 1984 (WGS 84) ellipsoid datum |
| 113 | Annex C (informative)Rotation matrices C.1 General C.2 Coordinate rotations C.2.1 Rotation of Earth surface coordinates (propagation maps coordinates) relative to the Earth-centric coordinates |
| 114 | C.2.2 The rotation of travel direction coordinates relative to Earth surface coordinates C.2.3 Rotation of platform coordinate systems relative to the direction of travel C.2.4 The rotation of power map coordinates relative to platform coordinates |
| 115 | C.3 Directional computations C.3.1 Convert Earth’s surface directions to platform power map directions |
| 116 | C.3.2 Convert platform power map directions to Earth’s surface directions |
| 117 | Annex D (informative)Coordinate conversions |
| 119 | Annex E (informative)Location modeling exemplars E.1 General E.2 Converting non-convex areas of operation to convex areas E.3 Subdividing the area of operations based on time |
| 122 | E.4 Subdividing the area of operation based on propagation conditions |
| 123 | E.5 Differentiating antenna pointing based on time |
| 125 | E.6 Combinatorial assessments of multiple location-associated constructs |
| 126 | Annex F (informative)Computation exemplars F.1 Modeling |
| 127 | F.1.2 Create a power map for a scanned antenna F.1.3 Create height-rated propagation maps |
| 128 | F.2 Compatibility assessment F.2.1 Determine power margin for underlay masks using the total power method |
| 130 | F.2.2 Determine power margin using the maximum power spectral density method |
| 132 | F.2.4 Determine compatibility with multiple interferers for bandwidth-rated underlay masks |
| 138 | F.2.7 Determine power flux density for a direction F.2.8 Determine power flux density from a transmitter |
| 139 | F.2.9 Determine the PSFD at a distance from a transmitter |
| 140 | F.2.10 Determine the distance-based pathloss to a receiving antenna using height-rated propagation maps |
| 141 | F.2.12 Determine the IM interference broadcast by a transmitter |
| 144 | F.2.15 Computing the interference from a location with a density of transmitters |
| 148 | F.2.16 Example listen before talk policy F.2.17 Example spectrum sharing access protocol |
| 150 | F.2.18 Converting power flux density to a field strength |
| 151 | F.3 Using confidence F.3.1 Computing average power level F.3.2 Create confidence-rated propagation maps |
| 152 | Back cover |
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