Optimal resource distribution method for cooperative transmission energy collection cognitive radio network

Abstract

The invention discloses an optimal resource distribution method for a cooperative transmission energy collection cognitive radio network, solving the problem that an existing cognitive radio resource distribution strategy cannot meet energy collection requirements and cannot ensure fairness between secondary users. The method comprises the implementation steps of setting a target parameter; initializing a secondary user parameter; performing iterative computation on the secondary user parameter; judging an iteration condition of secondary user perception time; acquiring the best secondary user parameter; and completing the optimal resource distribution of the cooperative transmission energy collection cognitive radio network. According to the method provided by the invention, channel distribution with maximal fairness, the optimal perception time and the optimal power distribution can be rapidly acquired in the case of ensuring the minimal energy collection requirement of an energy collector and providing better fairness for the secondary user; the energy collector is used for collecting energy of radio frequency signals sent by a cognitive base station, the energy is recycled, and utilization efficiency is improved; the method provided by the invention is low in computation complexity, and has a prospect of engineering application.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and relates to an optimal resource allocation scheme for spectrum sensing sharing to ensure fairness, in particular to an optimal resource allocation method for a cooperative transmission energy harvesting cognitive radio network, which is used for resource allocation in wireless communication. Background technique [0002] In recent years, the number of mobile devices and people's demand for communication data rates have increased dramatically, making limited spectrum resources increasingly crowded. According to statistics from the US Federal Communications Commission, from 2012 to 2015, the number of mobile device users increased from 4.08 billion to 4.55 billion. Meanwhile, data traffic to existing cell sites has grown by an average of 12.5 times from 2009 to 2014. According to the European Commission's Seventh Framework Plan (FP7), it is predicted that by 2020, the number of m...

AI Technical Summary

Problems solved by technology

This power allocation method, because it does not take into account the energy harvesting requirements of the energy harvester and the impact of spectrum sensing performance, makes it unsuitable for energy harvesting green cognitive radio networks

[0009] The existing optimal resource allocation strategy is designed based on two mechanisms: the opportunistic spectrum access mechanism not only needs to detect the state of the primary user, but also may make judgment errors during the detection process, resulting in waste of spectrum resources or transmission of the primary user. Causes interference; the spectrum sharing mechanism does not take into account the energy harvesting requirements of the energy harvester and the impact of spectrum sensing performance, resulting in energy waste

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