Real-time Prediction of Non-stationary Wireless Channels
| العنوان: | Real-time Prediction of Non-stationary Wireless Channels |
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| المؤلفون: | Maqsood Ahamed Abdul Careem, Aveek Dutta |
| المصدر: | IEEE Transactions on Wireless Communications. 19:7836-7850 |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Computer science, business.industry, Applied Mathematics, Transmitter, 020206 networking & telecommunications, Data_CODINGANDINFORMATIONTHEORY, 02 engineering and technology, Uncorrelated, Computer Science Applications, Channel state information, Modulation, 0202 electrical engineering, electronic engineering, information engineering, Bit error rate, Waveform, Wireless, Fading, Electrical and Electronic Engineering, business, Algorithm, Computer Science::Information Theory, Communication channel |
| الوصف: | Modern wireless systems are increasingly dense and dynamic that makes the channel highly non-stationary, rendering conventional receivers sub-optimal in practice. Predicting the channel characteristics for non-stationary channels has the distinct advantage of pre-conditioning the waveform at the transmitter to match the expected fading profile. The difficulty lies in extracting an accurate model for the channel, especially if the underlying variables are uncorrelated, unobserved and immeasurable. Our work implements this prescience by assimilating the Channel State Information (CSI), obtained as feedback from the receiver, over time and space to adjust the modulation vectors such that the channel impairments are significantly diminished at the receiver, improving the Bit Error Rate (BER). We design a channel recommender, in which an adaptive smoother is used to filter the noise in CSI, while a tensor factorization & completion approach is used to track the ephemeral changes in non-stationary channel statistics by observing the changes in certain measurable parameters. V2X communication is used as an example of non-stationary channels to shows the efficacy of this approach. Overall, the system is shown to operate with a prediction accuracy of 10−3 MSE even in dense scattering environments over space and time, improving the BER at the receiver by 90% for higher-order modulations. |
| تدمد: | 1558-2248 1536-1276 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::9390a11e0d8c9394cf9e7fadafb20916 https://doi.org/10.1109/twc.2020.3016962 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........9390a11e0d8c9394cf9e7fadafb20916 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15582248 15361276 |
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