Research On Power Allocation Algorithm Of Cognitive Radio Based On Energy Efficiency

In the "Internet +" era,iphone,Android and other mobile multimedia communication devices have flooded into people’s daily lives.These wireless communication devices rely on their features such as convenience and speed to develop rapidly and become a major component of information consumption.With the continuous introduction of advanced technologies such as the Internet,cloud computing,Internet of Things and big data,the spectrum resources in wireless communication networks have become very scarce,and cognitive radio technology has emerged.Wireless communication systems also face high energy consumption issues.The energy efficiency of communication systems in cognitive radio networks has become an important indicator of the performance of communications in green wireless networks.This paper builds a spectrum sharing platform for cognitive radio networks based on energy efficiency.Minimize the power consumption of cognitive radio systems and maximize the energy efficiency of cognitive systems to achieve an efficient,green spectrum sharing mechanism.Primary users allow cognitive users to share their authorized spectrum resources in an opportunistic manner,provided that cognitive users’ interference with primary users must be strictly controlled within the maximum interference threshold that primary users can afford.This article aims at the above problems and studies two different cognitive radio power allocation(also called resource allocation)schemes based on energy efficiency.The main tasks are as follows:From the perspective of building a green wireless network,reduce power consumption and improve the energy efficiency of the communication system.The power consumption of the cognitive user is minimized,the interference between the communication users is further controlled,the battery life of the communication device is extended,and the like,so that the energy efficiency of the communication system is greatly improved.In order to reduce the extra consumption of the communication system,a distributed power allocation mechanism is adopted in the cognitive radio network.The traditional cognitive radio power allocation algorithm estimates the channel gain and other parameters mostly based on the perfect sensing state.However,in the process of actual transmission data for cognitive radio networks,the working environment is often in adynamic change,and parameters in the channel often have uncertain parameters.We use a robust optimization algorithm to process the estimation error of channel parameters and propose a robust optimization based power allocation method.The scheme aims at minimizing the transmit power of cognitive users and uses the constraints of the cognitive user’s transmission rate threshold and the interference threshold of the primary user as constraint conditions and describes the uncertainty of channel parameters using ellipse sets to achieve the best resources allocation and communication system robustness.The experimental results show that,cognitive users can obtain higher transmission rates to ensure their own communication service quality without affecting the communication quality of primary users under a robust power allocation algorithm with rate constraints,.The algorithm takes into account the relationship between the user’s energy efficiency and the robustness of the system.In the distributed power allocation mechanism,we will further study the energy efficiency of cognitive systems.When cognitive users share the authorized spectrum of primary users,we should protect the interference threshold constraints of primary users and the signal-to-interference noise ratio constraints of cognitive users,and power allocation algorithm of Cognitive Radio based on Energy efficiency is studied.For different communication quality requirements of different cognitive users,further studies the time-varying cognitive user target SINR constraints and new cognitive users are added to the cognitive system during the communication process to influence the transmission quality of the entire communication systems.The experimental results show that this algorithm better can protect the communication quality of cognitive users,and strictly to provide protection for the normal communication of primary users.Finally,summarize the whole paper and look forward to the next research work.