ITU-R M 1634-2003 Interference protection of terrestrial mobile service systems using Monte Carlo simulation with application to frequency sharing《应用频率共享使用蒙特卡洛模拟的陆地移动业务系统的干扰防护》.pdf
《ITU-R M 1634-2003 Interference protection of terrestrial mobile service systems using Monte Carlo simulation with application to frequency sharing《应用频率共享使用蒙特卡洛模拟的陆地移动业务系统的干扰防护》.pdf》由会员分享,可在线阅读,更多相关《ITU-R M 1634-2003 Interference protection of terrestrial mobile service systems using Monte Carlo simulation with application to frequency sharing《应用频率共享使用蒙特卡洛模拟的陆地移动业务系统的干扰防护》.pdf(2页珍藏版)》请在麦多课文档分享上搜索。
1、 Rec. ITU-R M.1634 1 RECOMMENDATION ITU-R M.1634 Interference protection of terrestrial mobile service systems using Monte Carlo simulation with application to frequency sharing (Question ITU-R 1/8) (2003) Summary Sharing studies addressing the compatibility between different systems are often perfo
2、rmed. Deterministic calculations, while being simple, do not always provide a complete picture of the interference scenarios that arise. This Recommendation refers readers to sources of information on the use of the Monte Carlo method of analysis and recommends the use of a probabilistic approach wh
3、en assessing potential interference. The ITU Radiocommunication Assembly, considering a) that methodologies are needed for various types of information transmission to assure consistent use of parameters and their values for determining mobile service system interference protection criteria; b) that
4、 methodologies are needed for calculating interference due to spectrum sharing with other services to assure protection of the desired signal quality in the necessary bandwidth of a mobile service system; c) that deterministic interference calculations may not give a complete picture of the severity
5、 of the interference, for example, in terms of percentage of time; d) that deterministic calculations are simple but may result in important decisions being made which overlook potentially useful sharing opportunities; e) that probabilistic interference calculations can provide significantly improve
6、d insights that enable more informed decisions regarding use of radio spectrum; f) that detailed sharing studies to determine probability of interference may be performed as required on a case-by-case basis; g) that the Monte Carlo simulation methodology provides results in terms of their probabilit
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