Dish Wireless L.l.c.

Aravind Anchala

Gurpreet Sohi

Sourabh Gupta

Dilip Tandekar

Neil Nocete

Siddhartha Chenumolu

Dhaval Dipak Mehta

The present disclosure is directed to methods and systems for tuning a wireless network propagation model. A propagation model system can generate a nominal propagation model of a coverage area using collected geographical data and network equipment information. The nominal propagation model can provide a representation of the wireless network and coverage areas. The propagation model system can continuously calibrate the generated propagation models with continuous wave data and crowdsourced data from user devices. The crowdsourced data can provide a real-time representation of the coverage capability in an area as the terrain and clutter in an area can change.

Methods and systems for tuning a wireless network propagation model

Various arrangements for performing dynamic resource blanking on a cellular network are presented herein. Based on orbital data for a satellite, a cellular network can determine user equipment (UE) conducting an active call using a particular frequency band at a base station. For each of the UE a handover can be performed of on-going calls to a different frequency band. Following completion of the handovers, use of the frequency band at the base station can be temporarily disabled.

Dynamic cellular network interference management

Systems and methods are described for automated detection of border conflicts in physical radiofrequency (RF) communication network infrastructures. For example, proposed sector antennas in a greenfield physical network deployment may be licensed to radiate in certain spectrum blocks in the mapped licensed geographic regions (mLGR) where they are located, but the licenses may not permit radiated power in those spectrum blocks to cross into adjacent mLGRs. Embodiments compute radiation contours for the sector antennas indicating estimated local power levels computed based on antenna characteristics of the sector antennas and propagation model data that defines geographic morphologies for the mLGRs. The radiation contours are analyzed to detect any border conflict conditions where the estimated local power levels exceed defined threshold radiation levels in unlicensed regions. A culprit set of the sector antennas can be output to indicate those responsible for detected border conflict conditions.

Automated border coordination for radiofrequency network sectors

Systems and methods are described for automated sector creation in greenfield physical radiofrequency (RF) communication network infrastructures. For example, a network operator is granted licenses to use multiple spectrum blocks in multiple geographic regions for which the network operator does not currently have physical infrastructure. An RF network design defines a number of template antennas located at template site locations to meet a link budget over a target coverage area. For each template site location, embodiments can automatically compute sectors based on the associated template antennas and local spectrum licensing information. The computed sectors can effectively define a physical network deployment, including locations and configurations for sector antennas, by which the network operator can provide a desired quality of coverage to subscribers in the target coverage area.

Automated sector creation in physical radiofrequency network deployments

Various arrangements for performing dynamic resource blanking on a cellular network to prevent satellite communication interference are provided. Interference modelling can be provided by a satellite operator that operates a satellite. A cellular network can receive orbital data for the satellite. Based upon the orbital data for the satellite and the interference modelling, the cellular network can blank physical resource blocks (PRBs) for uplink communication with various base stations.

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Reston, VA, United States of America

Aravind Anchala