CCFD-Massive MIMO system power distribution method based on quantum backtracking search optimization

Abstract

The invention provides a CCFD-Massive MIMO system power distribution method based on quantum backtracking search optimization. The CCFD-Massive MIMO system power distribution method based on quantum backtracking search optimization comprises the steps of: establishing a system model; initializing a quantum population and system parameters, so that mapping modes of quantum individuals are obtainedthrough a mapping rule; calculating adaptive values of the quantum individuals, and taking the quantum individual, the adaptive value of which is the maximum in the quantum population, as the globallyoptimal solution; generating new quantum individuals through evolution and crossover strategies; obtaining mapping modes of the new quantum individuals according to the mapping rule, calculating adaptive values, and updating the quantum population and the globally optimal solution through greedy selection; if the iteration time is less than the pre-set maximum iteration time, returning to the fourth step; and otherwise, ending iteration, and outputting the globally optimal solution, so that an optimal power distribution scheme is obtained. According to the CCFD-Massive MIMO system power distribution method based on quantum backtracking search optimization provided by the invention, the spectrum utilization rate is effectively increased; self-interference and mutual interference of base stations and users are sufficiently considered; the secrecy capacity of a system is increased to a great extent; and a new solution is provided for the power distribution problem of a complex system.

Description

technical field [0001] The invention relates to a CCFD-Massive MIMO system power allocation method optimized by quantum backtracking search, in particular to a simultaneous co-frequency full-duplex Massive MIMO system power allocation method based on quantum backtracking search optimization, belonging to the technical field of wireless communication. Background technique [0002] Massive MIMO is one of the key technologies of 5G. Compared with traditional MIMO technology, its base station is equipped with large-scale antennas, which can serve more users at the same time and effectively improve system capacity. In the communication system, the traditional duplex communication methods are mainly time division duplex (TDD) and frequency division duplex (FDD), which are used to avoid the interference of the transmitter signal on the receiver signal in the time domain and frequency domain. In order to meet the communication needs of higher spectrum efficiency, faster rate and lar...

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Problems solved by technology

However, this method requires too much calculation and is difficult to meet the needs of real-time communication.

In "Energy-Efficient Optimization for Secrecy Wireless Information and Power Transfer in MassiveMIMO Relaying Systems" published in "IET Communications" (2017, Vol.11, No.1, pp.10–16), Chuang Du et al. The expression of the system security energy efficiency when the device exists, and use the Lagrangian number multiplication to obtain the power allocation scheme with the maximum system security energy efficiency, but the Lagrangian number multiplication is only suitable for solving the convex optimization problem with equality constraints. For the inequality constraint problem, it is difficult to obtain the optimal solution by this method

System secrecy capacity is one of the effective indicators to measure the secrecy of communication systems, but the existing power allocation methods are mostly used in relatively simple scenarios, and it is difficult to obtain a large system secrecy capacity in actual communication systems

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