Multi-user cognition MIMO interference channel distributed energy efficiency optimization method

Abstract

The invention discloses a multi-user cognition MIMO interference channel distributed energy efficiency optimization method, comprising the steps of establishing a cognition user energy efficiency maximization target function according to the power limitation and interference threshold limitation of a cognition user, performing equation transformation on the cognition user energy efficiency maximization target function, removing all coupling relationships of the cognition user generated by interference threshold limitation, removing limitation conditions in a cognition user decoupling equivalent energy efficiency maximization target function by using a Lagrange method to obtain a cognition user extended type decoupling equivalent energy efficiency maximization target function, computing the optimal power value of the cognition user through convex optimization by using a matrix decomposition theory, and finally obtaining the optimal energy efficiency value of the cognition user. According to the multi-user cognition MIMO interference channel distributed energy efficiency optimization method provided by the invention, the spectrum effect as well as the energy efficiency of the system can be improved, and thereby the feasibility in practical application can be enhanced.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a distributed energy efficiency optimization method for multi-user cognitive MIMO interference channels. Background technique [0002] The multi-user cognitive MIMO interference channel system can improve the spectrum efficiency and solve the problem of scarcity of spectrum resources without increasing the system bandwidth in the existing fixed spectrum allocation scheme. With the explosive growth of smart devices and the continuous increase in the price of limited non-renewable energy in recent years, the government, academia and industry have begun research on energy efficiency methods that can achieve green communication, so that future wireless communication can take a sustainable development path . Optimizing the energy efficiency of the multi-user cognitive MIMO interference channel system can not only reduce the interference of cognitive users to licensed u...

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Problems solved by technology

[0004] X. Zhang et al. used the extended Lagrangian multiplier method to solve the optimization subproblem of multi-objective and multi-constraint conditions. Although this method can remove the coupling relationship of all cognitive users due to interference constraints, the algorithm is only The initial variable is a feasible solution when the algorithm converges, which will cause the interference generated by the cognitive user to the authorized user in the iterative process to violate the interference threshold

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