Abstract:
Techniques for modelling a radio network in a geographic region utilizing shared spectra are disclosed. Population data is obtained for the geographic region. A number of radios per channel in the geographic region, N′, is determined. Candidate geographic location for radios in the geographic region are determined. For every channel in the shared spectra, at least one of a static dataset and a dynamic dataset is determined. At least one set of output data, that is a statistical characterization of the radio network, is generated using at least one of the static dataset and the dynamic dataset, to aid in design of the radio network.
Abstract:
A computing device includes a processor and memory storing instructions that are executable to determine a median of a first mixture distribution. The instructions are also executable to determine a parent mean, a parent standard deviation, and boundaries for each of multiple segments in the first mixture distribution. The instructions are also executable to determine a segment mean and a segment second moment for each segment based on the parent mean, the parent standard deviation, and the boundaries for the respective segment. The instructions are also executable to determine a scaled probability for each segment. The instructions are also executable to determine a mixture mean and a mixture standard deviation for the first mixture distribution based on the segment mean, the segment second moment, and the scaled probability for each segment in the first mixture distribution.
Abstract:
In one embodiment, a method is provided. The method comprises determining a free space path loss distance at a frequency of a transmitter; determining a morphology class for a geographic location of the transmitter; determining a scaling factor P corresponding to the determined morphology class; determining a circular analysis region based upon the scaling factor P; and generating a contour.
Abstract:
A method for detecting the presence of a signal in a frequency spectrum is provided. The method includes receiving the frequency spectrum. The power spectral density of the received frequency spectrum is estimated. A plurality of frequency bins are segmented for the frequency spectrum based on the estimated power spectral density. For segments with an estimated power spectral density above a first threshold, a radar spectral signature matching algorithm is applied to detect the presence of the signal and for segments with a power estimate below the first threshold and above a second threshold, additional techniques are applied to detect the presence of the signal.
Abstract:
A method of associating streams of baseband data with one or more antenna ports of a remote radio head (RRH) is provided. The method includes extracting streams of baseband data from a user-plane of front-haul data communicated to the RRH over a communication link, determining which, if any, layer mapping and precoding scheme and associated antenna port configuration was used to encode and modulate one or more of the extracted streams of baseband data, wherein each layer mapping and precoding scheme has one or more of associated antenna port configurations, each antenna port configuration associating each of one or more steams of baseband data with a respective antenna port of the RRH.
Abstract:
The present disclosure describes systems and methods for identifying a signal that is a product of two or more other signals. In an embodiment, the presence of intermodulation distortion in a communication system is determined by comparing a cyclic autocorrelation function (“CAF”) of a complex envelop of signal content in a frequency bin, comparing the determined CAF with the CAF for a known signal type, and comparing a frequency of the signal content with the frequency of an RF channel in the communication system.
Abstract:
The present disclosure describes systems and methods for identifying a signal that is a product of two or more other signals. In an embodiment, the presence of intermodulation distortion in a communication system is determined by comparing a cyclic autocorrelation function (“CAF”) of a complex envelop of signal content in a frequency bin, comparing the determined CAF with the CAF for a known signal type, and comparing a frequency of the signal content with the frequency of an RF channel in the communication system.
Abstract:
The present disclosure describes systems and methods for identifying a signal that is a product of two or more other signals. In an embodiment, the presence of a particular signal is determined and identified by applying a cyclostationarity detection technique, such as comparing a cyclic autocorrelation function of a product signal with the cyclic autocorrelation function of at least one of the signals which formed the product signal.
Abstract:
Techniques for planning locations of receiver systems for an environmental sensing capabilities (ESC) system are provided. An ESC system is used to detect activity of primary users in shared spectra. The techniques can be used to reduce dead zone area(s), created by the receiver systems, for radios of secondary systems using the shared frequency spectrum.
Abstract:
Techniques for planning locations of receiver systems for an environmental sensing capabilities (ESC) system are provided. An ESC system is used to detect activity of primary users in shared spectra. The techniques can be used to reduce dead zone area(s), created by the receiver systems, for radios of secondary systems using the shared frequency spectrum.