Method and device for configuring pre-coding weights in cells

Abstract

The invention discloses a method and a device for configuring pre-coding weights in cells. The method comprises the steps of: for each user in a plurality of cells, obtaining a first weight of a user based on a maximum signal to leakage noise ratio rule; for each user, obtaining a game function of the user according to the strategy set and the revenue function of the user; for each user, configuring the first weight of the user according to the game function and first weights of other users, causing interference to the user, in the cells, wherein the first weight configured for the user enables the revenue function of the user to be maximum and the configured first weight is used as a precoding weight of the user when the revenue function meets the Nash equilibrium. By adopting the invention, the reasonable precoding weights can be selected based on selection criteria and method of a game theory, a better effect of inhibiting the interference to the users in the cells is obtained, and the problems of poor interference inhibition effect, difficult realization of interference and great influence on the traditional structure in correlation techniques are avoided.

Description

technical field [0001] The present invention relates to the field of communications, and in particular, to a method and device for configuring multi-cell precoding weights. Background technique [0002] The multiple-input multiple-output (Multi-input Multi-output, MIMO for short) technology has been developed for nearly ten years, and its development process has gone through point-to-point single-link to single-cell multi-user communication. [0003] Moreover, with the advancement of next-generation mobile communication technologies and standards, MIMO technology has begun to move from laboratories to practical applications. However, a key problem arises in the MIMO technology in the extended multi-cell system, that is, the problem of adjacent cell interference (abbreviated as OCI) in the multi-antenna multi-cell system. [0004] This problem was first proposed in 2000, and through a series of system-level simulations and theoretical verifications, it was found that when mu...

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Problems solved by technology

[0008] Based on the above assumptions, although the cooperation between base stations can obtain higher spectral efficiency, the following problems still exist in the actual system implementation process: (1) In order to realize joint precoding, each base station must obtain real-time data of all communication users in the system channel information, which is difficult to achieve in an environment with a large number of users and users moving at high speed; (2) linear joint precoding is very sensitive to the characteristics of the channel matrix. The variance of the singular value distribution is large), the system performance will be significantly reduced, and in severe cases, the ZF method cannot be used; (3) when the transmitted signals from multiple base stations arrive at the receiver, there is usually a large time offset , the joint coding technique requires that the base station must pre-compensate the time of each user channel before sending data, and for the case of high data rate transmission or the location of the receiver far away from the cell boundary, it will be difficult for the base station to obtain the timing of the real-time channel. Existing research It shows that the signal synchronization problem in the joint coding system will lead to a serious decline in the performance of the joint coding system. If this problem is to be avoided, a more complex control technology at the sending end is required, thereby increasing the complexity of the system

[0009] In addition, in order to enable each user to communicate with surrounding base stations at the same time, the multi-cell joint coding system also faces a problem: the system needs to adjust the link design of the existing system on a large scale, and even need to change the existing communication system. The topological structure of the system and the power control of each base station in the cell are also very complicated issues, which will undoubtedly greatly increase the cost of mobile operators

[0010] Aiming at the difficulty in implementing interference suppression in a multi-cell MIMO environment in related technologies, the implementation cost and complexity are high, and even affect the existing topology of the network, no effective solution has been proposed so far

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