Adaptive resource allocation method for high-speed mobile 3G-HSDPA communication system

Abstract

The invention relates to an adaptive resource allocation method for a high-speed mobile 3G-HSDPA communication system. The system comprises a NodeB side and a UE side which mutually transmit communication signals. The method comprises the following steps that: the UE side reports a signal-to-noise ratio to the NodeB side at a certain time interval T; b, the NodeB side builds a prediction model according to the signal-to-noise ratio reported by the UE at certain time interval; c, the model is used to perform linear prediction to acquire a signal-to-noise ratio value in an actual data transmission process after the scheduling of the NodeB side; d, multi-user resource scheduling is performed according to the predicted signal-to-noise ratio value; e, according to the predicted signal-to-noise ratio value, data corresponding to a scheduled user are subjected to adaptive modulation and are transmitted to the corresponding UE side; and f, the NodeB side adjusts the parameters of the prediction model at the time interval T according to the signal-to-noise ratio reported by the UE side. The invention reduces system error rate on the basis of ensuring system throughput.

Description

technical field [0001] The invention belongs to the technical field of communication, and in particular relates to a high-speed mobile 3G-HSDPA communication system adaptive resource allocation method. Background technique [0002] The traditional HSDPA system is based on the UE side (the UE side is the user side), and performs packet scheduling and adaptive modulation and coding (AMC) according to the measurement of the signal-to-noise ratio of the pilot. However, the UE side reports the signal-to-noise ratio to the NodeB side (NodeB It takes time to perform packet scheduling at both the UE end (referring to the base station) and the NodeB end, that is, there is a certain delay between the pilot measurement at the UE end and the data transmission after the NodeB end performs packet scheduling. When the UE is moving at a medium-high speed (100 km / h to 250 km / h), the channel will undergo fast fading during this delay time, and as the UE moves faster, the speed of fast fading ...

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Problems solved by technology

[0002] The traditional HSDPA system is based on the UE side (the UE side is the user side), and performs packet scheduling and adaptive modulation and coding (AMC) according to the measurement of the signal-to-noise ratio of the pilot. However, the UE side reports the signal-to-noise ratio to the NodeB side (NodeB end refers to the base station) and the NodeB end to perform packet scheduling, it takes time, that is, there is a certain delay between the pilot measurement of the UE end and the transmission of the data after the NodeB end performs packet scheduling

When the UE is moving at a medium-high speed (100 km / h to 250 km / h), the channel will undergo fast fading during this delay time, and as the UE moves faster, the speed of fast fading will also increase. Large, so that there is a large error between the signal-to-noise ratio reported by the UE and the signal-to-noise ratio in the actual data transmission process after NodeB scheduling, which affects the packet scheduling and adaptive modulation and coding of the HSDPA system, resulting in an increase in the system bit error rate. , the throughput drops

[0003] like figure 1 As shown, due to the delay between the time when the UE measures the signal-to-noise ratio and the time when the data is transmitted, the SNR1, ..., SNR4 reported by the UE are not equal to the SNR1', ..., SNR4' of the actual transmission channel, resulting in systematic errors

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