Link self-adaption transmission method and equipment

Abstract

The invention discloses a link self-adaption transmission method and equipment, and the method comprises the following steps: measuring and calculating high-speed downlink shared channel data provided by a network side in a current transmission time interval to obtain a demodulated bit signal-to-noise ratio; querying a channel quality indication mapping table corresponding to the capability levels of user equipment to obtain a data transmission parameter corresponding to the bit signal-to-noise ratio, wherein the channel quality indication mapping table is constructed by the modulated bit signal-to-noise ratio of the high-speed downlink shared channel data in multiple transmission time intervals in advance; and reporting the data transmission parameter for the network side to provide high-speed downlink shared channel data in the next transmission time interval. By using the invention, code rate and modulation mode can be adjusted in a self-adaption manner by the user equipment in theprocess of executing link self-adaption, thus ensuring higher system throughout.

Description

technical field [0001] The present invention relates to mobile communication technology, in particular to a TD-SCDMA (Time Division Synchronous Code Division Multiple Access, Time Division Synchronous Code Division Multiple Access) mobile communication system when providing HSDPA (High Speed ​​Downlink Packet Access, high-speed downlink packet access) services A link adaptive transmission method and device. Background technique [0002] With social development and technological progress, international exchanges and cooperation are becoming more and more frequent. People hope that mobile communication systems can provide interactive multimedia services that integrate voice, images and data, just like fixed networks. WCDMA (Wideband Code Division Multiple Access, Wideband Code Division Multiple Access), cdma2000 and TD-SCDMA, which are the three mainstream standards of the third generation of mobile communication, are all undergoing technical enhancements to adapt to the ever-...

AI Technical Summary

Problems solved by technology

Although the CQI information reported by the mobile terminal to the network side only includes two data transmission parameters, RMF and RTBS, because there is no definition of the CQI mapping table, and there is no fixed CQI information index, transport block size and modulation for different UE capability levels The corresponding relationship between the modes, which makes the possible combination results between different modulation modes and transport block sizes extremely complicated

[0010] In the process of self-adaptive selection and reporting of CQI information, currently adopted methods are generally divided into two types: 1) UE selects CQI starting from a certain initial value, and adjusts the transmission block index value with a fixed step size, when the transmission block After the index value is adjusted to a certain value, consider changing the modulation method; the problem with this method is that it is difficult to determine the initial value of the CQI, the adjustment step size of the transport block index, and the conversion point of the modulation method, and it cannot really achieve self-adaptation of the CQI information selection and reporting

2), UE measures the SINR (Signal-to-Interference-and-Noise Ratio, the ratio of signal power to interference and noise power), and uses simulation combined with linear fitting to determine the transmission block index value and transmission block size, and then according to The physical layer processing capability determines the modulation mode, and reports the transport block size and modulation mode as CQI information to the network side; the problem with this method is that in addition to measuring the signal power and noise power at the receiving end, the UE also needs to measure the interference power at the receiving end , the SINR can be obtained, and the measurement method of the interference power is more complicated, the amount of calculation is large, the overhead of the processor is increased, the processing speed is reduced, and it cannot be well adapted to the requirements of HSDPA for high-speed data transmission.

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