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arXiv · 1808.06537

Ricean K-factor Estimation based on Channel Quality Indicator in OFDM Systems using Neural Network

Kun Wang
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Abstract

Ricean channel model is widely used in wireless communications to characterize the channels with a line-of-sight path. The Ricean K factor, defined as the ratio of direct path and scattered paths, provides a good indication of the link quality. Most existing works estimate K factor based on either maximum-likelihood criterion or higher-order moments, and the existing works are targeted at K-factor estimation at receiver side. In this work, a novel approach is proposed. Cast as a classification problem, the estimation of K factor by neural network provides high accuracy. Moreover, the proposed K-factor estimation is done at transmitter side for transmit processing, thus saving the limited feedback bandwidth.

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Kun Wang. 2018-08-15. Ricean K-factor Estimation based on Channel Quality Indicator in OFDM Systems using Neural Network. https://arxiv.org/abs/1808.06537

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