Cognitive radio energy-efficient power allocation method based on non-orthogonal multiple access

Abstract

The invention belongs to the technical field of mobile communication, Particularly, the invention relates to a power allocation method of cognitive radio energy efficiency optimization based on non-orthogonal multiple access, which comprises the following steps: determining a consumption rate of a maximum transmission power of a subchannel according to an interference power constraint of each primary user; determining a consumption rate of a minimum transmission power of the subchannel according to a cognitive user quality of service constraint of each multiplexed user; To maximize the systemenergy efficiency as the optimization objective, in order to meet the maximum transmission power consumption rate and the minimum transmission power consumption rate of the sub-channel, obtaining theenergy efficiency optimization model, obtaining power allocation coefficients of cognitive users in subchannels based on convexity programming and normalization. The fractional programming problem istransformed into an equivalent convex problem by using Charnes-Cooper transform, and the optimal power consumption in subchannels is solved by using KKT condition and Lagrange multiplier method. On the premise of ensuring the service quality of the cognitive user and the fairness of the system, the average energy efficiency performance is superior to the fractional-order power distribution method.

Description

technical field [0001] The invention belongs to the technical field of mobile communication, and in particular relates to a power allocation method based on non-orthogonal multiple access (NOMA) cognitive radio energy efficiency optimization. Background technique [0002] With the widespread use of various mobile devices, current wireless networks are facing the problems of further increasing network capacity and shortage of available spectrum resources. However, so far, the static spectrum resource allocation leads to serious spectrum shortage. Therefore, in order to meet the massive growth of mobile services and user connections, cognitive radio technology is proposed. Cognitive radio technology further improves system performance by allowing cognitive users (unlicensed users) to access the spectrum of primary users (licensed users) in a certain way. In cognitive radio, there are two ways for cognitive users to access the spectrum of primary users. One is opportunistic. ...

AI Technical Summary

Problems solved by technology

The full search algorithm has the best performance, but the complexity is extremely high; the fixed power algorithm and the fractional power allocation algorithm exchange lower algorithm performance for lower algorithm complexity

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