A minimal data probabilistic model for spectrum management

One of the most common problems facing present-day communicators in developed and developing nations is the maximal utilization of the radio frequency spectrum. In this area, one of the most pressing problems is the requirement for a model that will provide a suitable indicator of performance for receivers that are mobile, in uncertain locations, or dispersed over a known area. Examples of these are mobile receivers and broadcast receivers. The problem is further complicated by the fact that present available data for management of the radio spectrum is very limited, and, for the case of prime interest in our study, does not include any appreciable amount of receiver data. One of the requirements for the model was that it utilize a minimal amount of data commensurate with what is readily available. The model described herein provides a probability of interference based on the geographical aspects of the problem. It allows for the addition of temporal data (duty cycles, etc.) if such data is available. The model allows for management of the spectrum based on technical considerations of compatibility and, as such, could be a key aspect of the development of spectrum management at a national level.