Huawei Technologies Co., Limited

Telefonaktiebolaget Lm Ericsson (publ)

Zesong Fei

Wei Bai

Lei Wan

Guanglin Han

Xiaolin Deng

Jingming Kuang

The method includes: processing a PSNR of each segment of each sample video, determining an ePSNR predictive model according to preset parameters obtained after processing and mean opinion scores of all sample videos, and determining an enhanced mean opinion score eMOS predictive model according to the predictive model. Then, for any video that needs to be evaluated, QoE of the video that needs to be evaluated may be determined according to only the enhanced MOS predictive model and an ePSNR determined according to the ePSNR predictive model. In comparison with a prior-art method for determining QoE in which only a mean value of PERNs of all frames is considered, in this process of measuring quality of experience of a mobile video service, as many as factors that affect a PSNR of a video are considered. Therefore, accurate measurement of quality of experience of an HAS video service can be implemented.

Method and apparatus for measuring quality of experience of mobile video service

The channel estimation for a current data block is based on a previous data block, where the two data blocks are based on common information. Data symbol hypotheses of the previous data block can be forwarded to a channel estimator and used as known reference symbols when estimating the channel response for the current block. Alternatively, a combination of the data symbol hypotheses and preliminary data symbol estimates of the current block are used as reference symbols in a refined channel estimation for the current block. Data bit hypotheses of the previous block can also be input as a priori data in a preliminary demodulation of the current block. The demodulator output is used as reference data in a refined channel estimation for the current block. The technology is well-adapted for use in connection with Hybrid ARQ.

Channel estimation

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Zesong Fei