Mapping method, mapping system, link quality prediction method and link quality prediction system based on mutual information

Abstract

The invention discloses a mapping method based on mutual information, which comprises the steps of: determining symbol-level mutual information under a current modulation mode; and determining corresponding symbol-level signal-to-noise ratios (SNR) under different modulation modes according to the normalized symbol-level mutual information. The invention also discloses a mapping system based on the mutual information as well as a link quality prediction method and a link quality prediction system based on HARQ of the mutual information. The adoption of the mapping method and the mapping systemcan effectively and accurately realize the mapping of the symbol-level SNRs among different modulation modes, and is equivalent to realizing the mapping from the symbol-level SNRs to bit-level SNRs among different modulation modes under the condition that a non-BPSK modulation mode is converted to a BPSK modulation mode. The adoption of the link quality prediction method and the link quality prediction system effectively solves the mapping from the symbol-level SNRs to the bit-level SNRs under the condition of the HARQ, and improves the accuracy of link quality prediction under the conditionof the HARQ.

Description

technical field [0001] The present invention relates to mutual information technology, in particular to a method and system for mapping symbol-level signal-to-noise ratio (SNR) between different modulation methods based on mutual information, and a link of hybrid automatic repeat request (HARQ) based on mutual information Quality prediction method and system. Background technique [0002] In an adaptive communication system, in order to improve the spectrum utilization of the system more effectively, it is necessary to adjust the transmission parameters of the system in time according to the current real-time channel conditions, such as transmission power, coding rate and modulation scheme. The way to obtain the current real-time channel status is: measure the current channel quality information, that is, measure the communication link quality of the current channel. It can be seen that the measurement of the current channel quality information is very important. In additi...

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Problems solved by technology

[0008] In summary, the existing mapping methods from symbol-level SNR to bit-level SNR can only achieve a rough estimation of bit-level SNR

Moreover, for the rough estimation of bit-level SNR realized by formula (2), a large number of simulations are needed to determine the value of the penalty adjustment factor when mapping from symbol-level SNR to bit-level SNR under different modulation schemes. An accurate correspondence, while the implementation of the algorithm is more complicated

For the mapping from symbol-level SNR to bit-level SNR, there is currently no effective and accurate implementation method

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