Radio links are extensively used for voice and data communications at long distance. We analyze the radio propagation parameters that affect the received signal level on radio links in Rwanda and we determine the best...Radio links are extensively used for voice and data communications at long distance. We analyze the radio propagation parameters that affect the received signal level on radio links in Rwanda and we determine the best path loss model for prediction of the received signal level. Various models of propagation and the mathematical expressions of path loss are described here in order to come to the prediction of those propagation effects. By analyzing data collected for two links of MTN Rwanda: Gahengeri-Kibungo and Gahengeri-Jali, we find that the best predicting model is the normal distribution.展开更多
It is mainly deals with models of wireless communication channels,and in particular with the difficulty of finding an exact model which is both mathematically easy to deal with and physically accurate.It is argued tha...It is mainly deals with models of wireless communication channels,and in particular with the difficulty of finding an exact model which is both mathematically easy to deal with and physically accurate.It is argued that a certain amount of uncertainty necessarily following the use of inaccurate channel models should be accepted,and suitable tools used to evaluate its effects on analysis and design.With our approach,lower and upper bounds on required performance parameters are derived under no assumption of exact knowledge of the underlying probability distributions,and model uncertainty effects are propagated throughout calculations.Sepcial attention is given to the derivation of upper and lower bounds on system performance when this is determined by random variables whose dependence is not exactly known.展开更多
文摘Radio links are extensively used for voice and data communications at long distance. We analyze the radio propagation parameters that affect the received signal level on radio links in Rwanda and we determine the best path loss model for prediction of the received signal level. Various models of propagation and the mathematical expressions of path loss are described here in order to come to the prediction of those propagation effects. By analyzing data collected for two links of MTN Rwanda: Gahengeri-Kibungo and Gahengeri-Jali, we find that the best predicting model is the normal distribution.
文摘It is mainly deals with models of wireless communication channels,and in particular with the difficulty of finding an exact model which is both mathematically easy to deal with and physically accurate.It is argued that a certain amount of uncertainty necessarily following the use of inaccurate channel models should be accepted,and suitable tools used to evaluate its effects on analysis and design.With our approach,lower and upper bounds on required performance parameters are derived under no assumption of exact knowledge of the underlying probability distributions,and model uncertainty effects are propagated throughout calculations.Sepcial attention is given to the derivation of upper and lower bounds on system performance when this is determined by random variables whose dependence is not exactly known.
