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Energy Based Spectrum Detection using DPSS for Cognitive Radios
Due to limited spectrum available for use and steady expansion in the field of wireless applications, it has become necessary to organize all the applications in the same available spectrum. To provide a way out to the trouble of inefficient spectrum usage, Cognitive Radios (CR) are considered as a promising solution. A cognitive radio organization has the ability to perform spectrum sensing and transmission modifications by itself. A foremost detector put in for Thomson's Adaptive Multi- Taper Spectrum Estimation (AMTSE) has been discussed here. The detector has been employed for adapting itself to the maximum and minimum values. As a result, the detection threshold adjusts itself according to the environmental changes. The signal after being linearly precoded, is divided into small segments and the Discrete Prolate Spheroidal Sequences (DPSS) are multiplied with it in order to get better and smooth spectrum for detection. In case of the existence of a PU exists, the technique of interference cancellation has been applied for cancelling the interference. Whereas, when the PU is not using the spectrum band, the Secondary User's (SU) transmitter can detect the Channel condition as a result to the channel mutuality, granting the permission to use the free spectrum band by some other user who needs it. An idea to calculate the energy and detecting the availability of spectrum has been proposed, which leads to reduction in False Alarm Rate P(fa) and rise in probability of detection P(d).
Keywords
Adaptive Multi-Taper Spectrum Estimator (AMTSE), Cognitive Radio (CR), Discrete Prolate Spheroidal Sequences (DPSS), Dynamic Spectrum Management, Linear Precoding, Power Spectral Density (PSD).
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- Ian F. Akyildiz, Brandon F. Lo, Ravikumar, “Cooperative spectrum sensing in cognitive radio networks: A survey(2011)
- K. Challapali, S. Mangold, Z. Zhong,“Spectrum Agile Radio: Detecting Spectrum Opportunities”, In Proc. Int. Symposium on Advanced Radio Technologies, Boulder, CO, Mar. 2004.
- Z. Tian, G. B. Giannakis,“A Wavelet Approach to Wideband Spectrum Sensing for Cognitive Radios”, In Proc. IEEE Int. Conference
- Mariani A, Giorgetti A, Chiani M. Effects of Noise Power Estimation on Energy Detection for Cognitive Radio Applications[J]. IEEE Transactions on Communications, 2011, 59(12):3410-3420.
- Sina Maleki, Ashish Pandharipande, Geert Leus. two-stage spectrum sensing for cognitive radios[C]. Acoustics Speech and Signal Processing (ICASSP), 2010.
- Omar A. M. Aly. Two-stage spectrum sensing algorithm for low power signals in cognitive radio[C]. Electronics, Communications and Photonics Conference (SIECPC), 2013.
- Behrouz Farhang-Boroujeny, Senior Member, IEEE transactions on signal processing, VOL. 56, NO. 5, MAY 2008
- R. Prasad and A. Chockalingam, “Precoder Optimization in Cognitive Radio with Interference Constraints,” in Proc. IEEE ICC ’11, Kyoto, Japan, Jun. 2011, pp. 1–6.
- S. Rodriguez-Parera, V. Ramon, A. Bourdoux, F. Horlin, and R. Lauwereins, “Spectrum sensing over SIMO multi-path fading channels based on energy detection,” in Proc. IEEE Global Telecommun. Conf. (GLOBECOM), 2008, pp. 1–6.
- M. Jung, K. Hwang, and S. Choi, “Interference Minimization Approach to Precoding Scheme in MIMO-Based Cognitive Radio Networks,” IEEE Communication. Lett., vol. 15, no. 8, pp. 789–791, Aug. 2011.
- R. Zhang and Y. C. Liang, “Exploiting MultiAntennas for Opportunistic Spectrum Sharing in Cognitive Radio Networks,” IEEE J. Sel. Topics Signal Process., vol. 2, no. 1, pp. 88–102, Feb. 2008.
- Amir Ghasemi, Elvino S. Sousa,“Spectrum Sensing in Cognitive Radio Networks: Requirements, Challenges and Design Trade-offs Cognitive radio communication and networks”, IEEE Communication Magazine, pp. 32-39, 2008.
- G. Ganesan, Y. Li,“Cooperative Spectrum Sensing in Cognitive Radio, Part I: Two User Networks”, IEEE Transactions on Wireless Communications, Vol. 6, No. 6, pp. 2204 – 2213, Jun. 2007.
- Yi-Han Tseng, Terng-Hsing Chiu, Jung-Mao Lin, and His-Pin Ma, “Linear precoding and adaptive multi-taper spectrum detector for cognitive radios” International Symposium on VLSI Design, Automation and Test (VLSI-DAT), 2016.
- D. Cabric, I. O’Donnell, M.-W. Chen, and R. Brodersen, “Spectrum sharing radio,” IEEE Circuits Syst. Mag., vol. 6, no. 2, pp. 30–45, Jul. 2006.
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