The coverage and capacity of exploiting TV White Spaces (TVWS) from High Altitude Platforms (HAPs) with multiple antenna payloads using uniform rectangular phased array (URA) antennas are explored in this article. A scenario is suggested in which a HAP and TVWS base station are installed on the HAP within a HAP coverage area with a radius of 100 km and a cell radius of 10.5 km. The formation of HAP cells with various reuse patterns has been established. An analysis of coverage, capacity and power profile function for TVWS link from 25 × 25 URA HAP arrays is presented. To minimize the sidelobe levels in the antenna array synthesis, window function has been assumed. Power profile within a cell using URA is highlighted. Channel to Interference (CIR) performance contour, coverage probability and channel capacity have been determined. The channel capacity for the theoretical Shannon bound and practical truncated Shannon bound are determined and compared. Results show that a maximum channel capacity of 53 Mbps can be attained from the proposed model.
Reference:
Hussien, H., Katzis, K., Mfupe, L.P. & Bekele, E. 2022. Capacity, coverage and power profile performance evaluation of a novel rural broadband services exploiting TVWS from high altitude platform. IEEE Open Journal of the Computer Society, 3. http://hdl.handle.net/10204/12467
Hussien, H., Katzis, K., Mfupe, L. P., & Bekele, E. (2022). Capacity, coverage and power profile performance evaluation of a novel rural broadband services exploiting TVWS from high altitude platform. IEEE Open Journal of the Computer Society, 3, http://hdl.handle.net/10204/12467
Hussien, HM, K Katzis, Luzango P Mfupe, and ET Bekele "Capacity, coverage and power profile performance evaluation of a novel rural broadband services exploiting TVWS from high altitude platform." IEEE Open Journal of the Computer Society, 3 (2022) http://hdl.handle.net/10204/12467
Hussien H, Katzis K, Mfupe LP, Bekele E. Capacity, coverage and power profile performance evaluation of a novel rural broadband services exploiting TVWS from high altitude platform. IEEE Open Journal of the Computer Society, 3. 2022; http://hdl.handle.net/10204/12467.