Abstract
For Cognitive Radio (CR) systems operating within the range of low power incumbent wireless systems, effective and efficient radio resource management (RRM) technique is vital for the spectrum efficiency improvement. By using robust and efficient channel estimation and synchronization techniques, CR based RRM algorithms can be integrated into CR enabling techniques such as Ultra Wideband (UWB) to dynamically allocate the radio resource across the operating frequency band for the optimal spectrum usage. For OFDM based CR-UWB system, we proposed a hybrid RRM (HRRM) algorithm aiming to optimize spectrum efficiency. The HRRM algorithm involves the joint optimization of power and time resource allocation, in which the spectrum sensing window size is dynamically assigned in order to optimize the use of the optimal power distribution algorithm. Our numerical simulation indicates that HRRM algorithm outperforms traditional RRM in terms of spectrum efficiency enhancement and the gain contributed by the HRRM algorithm outperforms the complexity generated.
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Zeng, L. (2015). A Spectral Efficient Cognitive Radio Resource Management Method for Low-energy Cognitive Networks. In: Mu, J., Liang, Q., Wang, W., Zhang, B., Pi, Y. (eds) The Proceedings of the Third International Conference on Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-319-08991-1_5
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DOI: https://doi.org/10.1007/978-3-319-08991-1_5
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08990-4
Online ISBN: 978-3-319-08991-1
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