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Energy efficiency optimization method, device and equipment based on adaptive particle swarm power distribution

An optimization method and self-adaptive technology, applied in power management, baseband system components, instruments, etc., to achieve the effect of improving energy efficiency

Pending Publication Date: 2022-04-08
CENT SOUTH UNIV
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Problems solved by technology

[0007] In view of various problems that are not fully considered in the existing power allocation scheme, the purpose of the present invention is to provide an energy efficiency optimization method, device and equipment based on adaptive particle swarm power allocation, through iterative optimization of user uplink data power , in the case of low computational complexity, considering the fairness of each user in the cell, the frequency efficiency and energy efficiency of the system are greatly improved

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  • Energy efficiency optimization method, device and equipment based on adaptive particle swarm power distribution
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  • Energy efficiency optimization method, device and equipment based on adaptive particle swarm power distribution

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[0080] The scheme of the present invention will be further described below in combination with specific embodiments and accompanying drawings.

[0081] see figure 1 , the first embodiment of the present invention provides an energy efficiency optimization method based on adaptive particle swarm power allocation, which includes the following steps:

[0082] S1, initializing the positions of each base station and each user in the cell.

[0083] Wherein, in one implementation manner, in this embodiment, a total of 16 cells are set up and arranged according to 4*4. In order to overcome interference between cells, the system uses orthogonal pilots for users in the cells. Meanwhile, in order not to lose generality, the pilot frequency reuse factor of this system is set to f=4. Therefore, the pilot sequence used in this system can be expressed as In each cell, users are set in a random distribution manner, and at the same time, the minimum distance between users and base statio...

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Abstract

The invention discloses an energy efficiency optimization method, device and equipment based on adaptive particle swarm power distribution. The method comprises the following steps: initializing the position of each base station and the position of each user in a cell; calculating a large-scale fading factor beta and a covariance matrix R of a channel according to the position of each base station and the position of each user; receiving an uplink pilot signal, and estimating a channel by adopting an MMSE (Minimum Mean Square Error) method in combination with a large-scale fading factor beta and a covariance matrix R of the channel; deriving a signal to interference plus noise ratio (SINR) expression of the system according to the estimated channel, calculating frequency efficiency according to the Shannon capacity theorem, and establishing an energy efficiency optimization model of the system in combination with a power consumption model of the system; and for the energy efficiency optimization model, according to the optimization objective function, carrying out data power distribution of users on the basis of fixed pilot frequency power by using an adaptive particle swarm optimization algorithm. The energy efficiency of the system can be effectively improved, and the requirement of green communication is met.

Description

technical field [0001] The invention belongs to the technical field of massive MIMO system wireless communication, and in particular relates to an energy efficiency optimization method, device and equipment based on adaptive particle swarm power allocation. Background technique [0002] The massive MIMO system configures hundreds of thousands of antennas at the base station and uses multipath scattering to obtain space diversity gain and space multiplexing gain, so that the system can greatly improve the system frequency efficiency in the case of the original bandwidth. Energy efficiency and reliability of wireless links have become one of the key technologies of 5G. There are generally two multiplexing duplex methods for data transmission in wireless communication systems——TDD (Time Division Duplex) and FDD (Frequency Division Duplex). Reciprocity, using the TDD pattern. The positional relationship between the user and the base station and the surrounding environment are ...

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Application Information

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IPC IPC(8): H04W52/14H04W52/24H04W52/26H04W52/42G06N3/00H04L25/02
Inventor 邓宏贵张捷封雨鑫刘洪梅
Owner CENT SOUTH UNIV
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