Signal transmission method and device

Abstract

The embodiment of the invention provides a signal transmission method and device. The weighted capacity sum of user equipment in a system becomes maximized, and the robustness of the system is improved. The method includes the steps: a base station codes emission information through a pre-coding matrix to form an emission signal and sends the emission signal that has been coded, and the user equipment receives the emission signal and conducts vector multiplication on a reception weight vector and the emission signal. The signal transmission method and device are used for maximizing the weighted capacity sum of the system.

Description

technical field [0001] Embodiments of the present invention relate to mobile communication technologies, and in particular to a signal transmission method and device. Background technique [0002] In the scenario of multiple user equipment and multiple base stations, if multiple user equipment are scheduled on the same time-frequency resource, each user will be subject to strong interference from adjacent cells, and the capacity of the system will be reduced, resulting in a multi-user scenario. The robustness of the lower system is low. The industry often uses linear precoding technology to coordinate the above-mentioned adjacent cell interference to improve system capacity. The precoding matrix is ​​obtained through the ZF (Zero-Forcing, zero-crossing) algorithm, and the base station multiplies the transmitted signal by the above precoding matrix sent to the user device. [0003] In the process of coordinating the above-mentioned adjacent cell interference, the inventors ...

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Problems solved by technology

[0004] The ZF algorithm obtains the above-mentioned precoding matrix by calculating the estimated value of the channel coefficient. When there is a difference between the estimated value of the channel coefficient and the real value of the channel coefficient, the signal transmitted by the base station passes between the user equipment After the channel transmission, due to the error between the estimated value and the real value of the above-mentioned channel coefficient, the modulus value of the signal encoded by the above-mentioned precoding matrix and the channel noise after vector multiplication is not equal to 1, that is, the channel noise cannot be completely removed , resulting in a low system SINR. According to the system capacity calculation method, it can be seen that the system capacity is low, so the system does not have good robustness in multi-user scenarios

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