A self-adaptive transmission power distribution method for a downlink of an unmanned aerial vehicle base station

Abstract

The invention discloses a self-adaptive transmission power distribution method for a downlink of an unmanned aerial vehicle base station. The cognitive OFDM technology is adopted in the application scene of the method, and the requirement for signal bandwidth, the number of available channels, interference limitation and the like are all continuously changed. A resource allocation technology in atraditional wireless network is not completely applicable, so an efficient and flexible unmanned aerial vehicle base station wireless resource allocation method needs to be designed by adopting cognitive radio. In the downlink, the method assumes that a single cell covered by an unmanned aerial vehicle base station only has a single cognitive user and multiple main users; according to the size ofthe signal to interference plus noise ratio, a modulation mode is automatically selected, then the transmission rate is continuous, and a Lagrangian duality method based self-adaptive distribution algorithm for achieving the optimal power is provided, so that power distribution optimization and transmission rate maximization are achieved. The method is popularized to adaptive optimal power distribution and maximum transmission rate under the condition of multiple cognitive users and multiple main users. When the method is applied to an unmanned aerial vehicle base station adopting cognitive radio, better performance can be achieved compared with that of a traditional power algorithm, the bit error rate is reduced to a certain degree, optimal power is distributed in a self-adaptive mode, and the expected requirement can be met only through a small number of iterations.

Description

technical field [0001] The invention belongs to the field of wireless resource management and cognitive radio technology, and specifically relates to issues related to downlink adaptive transmission power allocation and transmission rate control when the UAV emergency base station used for mobile Internet adopts OFDM system and cognitive radio technology . Background technique [0002] With the popularization of mobile Internet and 5G technology, the number of terminal devices connected to the Internet will continue to increase in the future. Within a certain range, some fixed base station communications will be congested, the transmission rate will be slow, and high delay and high bit error rate are very likely to occur. Case. Therefore, the shortage of spectrum resources will become a bottleneck that needs to be overcome in the future development of the Internet of Things. The communication standard IEEE 802.22 based on cognitive radio technology is based on Time Divisio...

AI Technical Summary

Problems solved by technology

[0002] With the popularization of mobile Internet and 5G technology, the number of terminal devices connected to the Internet will continue to increase in the future. Within a certain range, some fixed base station communications will be congested, the transmission rate will be slow, and high delay and high bit error rate are very likely to occur. Case

Therefore, the shortage of spectrum resources will become the bottleneck that needs to be overcome in the future development of the Internet of Things

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