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Erschienen in: Wireless Personal Communications 4/2018

14.09.2018

Adaptive Energy Detection Based Solution for Fronthaul Problem in C-RAN

verfasst von: Lokesh Chouhan, H. S. Lalventhangi

Erschienen in: Wireless Personal Communications | Ausgabe 4/2018

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Abstract

It hasbeen anticipated that the fifth generation (5G) wireless systems will deliver an efficient growth of the energy and spectral efficiency. To accomplish these goals, centralized radio access networks (C-RAN) is presented as the advanced wireless access networks paradigm with centralized baseband units (BBUs) and remote radio heads (RRHs). Although it is affected by Common Public Radio Interface (CPRI) limitations which requires high bandwidth for existing BBU/RRH interfaces. Moreover, the fronthaul links the BBU and RRH. But CPRI limits the deployment of C-RAN for fronthaul networking due to its fixed-rate fronthaul interface which transmit CPRI streams even in the absence of traffic load. However, this causes data transmission inefficient. So, the classical fronthauling method demands high bandwidth and the failure of fronthaul will cause losing a very high bandwidth. The purpose of this paper is to develop energy detection (ED) based algorithm which permits the secondary users to use the channel without interfering the primary users, so that the bandwidth in the fronthaul can be used in an efficient manner. A dynamic threshold with noise uncertainty based ED algorithm is proposed in this paper. It compares the fixed threshold with dynamic threshold by comparing probability of detection with probability of false alarm. Finally, by using this proposed algorithm, it can be concluded that performance of the probability of detection improves even with the presence of noise uncertainty.

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Literatur
1.
Zurück zum Zitat Shankar, S., Sarkar, B. D., Chaurasiya, H., & Thakur, S. (2015). 5G-A near future. In 2015 international conference on computational intelligence and communication network (pp. 481–485). IEEE. Shankar, S., Sarkar, B. D., Chaurasiya, H., & Thakur, S. (2015). 5G-A near future. In 2015 international conference on computational intelligence and communication network (pp. 481–485). IEEE.
2.
Zurück zum Zitat Andrews, J. G., Buzzi, S., Choi, W., Hanly, S. V., Lozano, A., Soong, A. C. K., et al. (2014). What will 5G be. IEEE Journal on Selected Areas in Communications, 32(6), 1065–1082.CrossRef Andrews, J. G., Buzzi, S., Choi, W., Hanly, S. V., Lozano, A., Soong, A. C. K., et al. (2014). What will 5G be. IEEE Journal on Selected Areas in Communications, 32(6), 1065–1082.CrossRef
3.
Zurück zum Zitat Jo, M., Maksymyuk, T., Batista, R. L., Maciel, T. F., Almeida, A. L. F., & Klymash, M. (2014). A survey of converging solutions for heterogeneous mobile networks. IEEE Wireless Communications, 6, 54–62. Jo, M., Maksymyuk, T., Batista, R. L., Maciel, T. F., Almeida, A. L. F., & Klymash, M. (2014). A survey of converging solutions for heterogeneous mobile networks. IEEE Wireless Communications, 6, 54–62.
4.
Zurück zum Zitat Yu, G., Long, C., Xiang, M., & Xi, W. (2012). A novel energy detection scheme based on dynamic threshold in cognitive radio systems. Journal of Computational Information Systems, 8, 2245–2252. Yu, G., Long, C., Xiang, M., & Xi, W. (2012). A novel energy detection scheme based on dynamic threshold in cognitive radio systems. Journal of Computational Information Systems, 8, 2245–2252.
5.
Zurück zum Zitat Mariani, A., Giorgetti, A., & Chiani, M. (2011). SNR wall for energy detection with noise power estimation. In IEEE ICC. Mariani, A., Giorgetti, A., & Chiani, M. (2011). SNR wall for energy detection with noise power estimation. In IEEE ICC.
6.
Zurück zum Zitat Alink, M. S. O., Kokkeler, A. B. J., Klumperink, E. A. M., Smit, G. J. M., & Nauta, B. (2013). Lowering the SNR wall for energy detection using cross-correlation. IEEE Transactions on Vehicular Technology, 60(8), 3748–3757.CrossRef Alink, M. S. O., Kokkeler, A. B. J., Klumperink, E. A. M., Smit, G. J. M., & Nauta, B. (2013). Lowering the SNR wall for energy detection using cross-correlation. IEEE Transactions on Vehicular Technology, 60(8), 3748–3757.CrossRef
7.
Zurück zum Zitat Plata, D. M. M., & Reátiga, Á. G. A. (2012). Evaluation of energy detection for spectrum sensing based on the dynamic selection of detection-threshold. International Meeting of Electrical Engineering Research ENIINVIE, 35, 135–143. Plata, D. M. M., & Reátiga, Á. G. A. (2012). Evaluation of energy detection for spectrum sensing based on the dynamic selection of detection-threshold. International Meeting of Electrical Engineering Research ENIINVIE, 35, 135–143.
8.
Zurück zum Zitat de la Oliva, A., Hernández, J. A., Larrabeiti, D., & Azcorra, A. (2016). An overview of the CPRI specification and its application to C-RAN-based LTE scenarios. IEEE Communications Magazine, 54, 152–159.CrossRef de la Oliva, A., Hernández, J. A., Larrabeiti, D., & Azcorra, A. (2016). An overview of the CPRI specification and its application to C-RAN-based LTE scenarios. IEEE Communications Magazine, 54, 152–159.CrossRef
9.
Zurück zum Zitat Muchandi, N., & Khanai, R. (2016) Cognitive radio spectrum sensing: A survey. In International conference on electrical, electronics, and optimization techniques (ICEEOT) (pp. 3233–3237). Muchandi, N., & Khanai, R. (2016) Cognitive radio spectrum sensing: A survey. In International conference on electrical, electronics, and optimization techniques (ICEEOT) (pp. 3233–3237).
10.
Zurück zum Zitat Albreem, M. A. M. (2015). 5G wireless communication systems: Vision and challenges. In IEEE 2015 international conference on computer, communication, and control technology (I4CT) (pp. 494–497). Albreem, M. A. M. (2015). 5G wireless communication systems: Vision and challenges. In IEEE 2015 international conference on computer, communication, and control technology (I4CT) (pp. 494–497).
11.
Zurück zum Zitat Selim, M., Kamal, A. E., Elsayed, K., Abdel-Atty, H. M., & Alnuem, M. (2016). Fronthaul cell outage compensation for 5G networks. IEEE Communications Magazine, 54, 169–175.CrossRef Selim, M., Kamal, A. E., Elsayed, K., Abdel-Atty, H. M., & Alnuem, M. (2016). Fronthaul cell outage compensation for 5G networks. IEEE Communications Magazine, 54, 169–175.CrossRef
12.
Zurück zum Zitat Tandra, R., & Sahai, A. (2015). Fundamental limits on detection in low SNR under noise uncertainty. International Conference on Wireless Networks, Communications and Mobile Computing, 1, 464–469. Tandra, R., & Sahai, A. (2015). Fundamental limits on detection in low SNR under noise uncertainty. International Conference on Wireless Networks, Communications and Mobile Computing, 1, 464–469.
13.
Zurück zum Zitat Helif, S., Abdulla, R., & Kumar, S. (2015). A review of energy detection and cyclostationary sensing techniques of cognitive radio spectrum. In IEEE student conference on research and development (SCOReD) (pp. 177–181). Helif, S., Abdulla, R., & Kumar, S. (2015). A review of energy detection and cyclostationary sensing techniques of cognitive radio spectrum. In IEEE student conference on research and development (SCOReD) (pp. 177–181).
14.
Zurück zum Zitat Kumar, K. S., Saravanan, R., & Muthaiah, R. (2013). Cognitive radio spectrum sensing algorithms based on eigenvalue and covariance methods. International Journal of Engineering and Technology (IJE), 5(2), 594–601. Kumar, K. S., Saravanan, R., & Muthaiah, R. (2013). Cognitive radio spectrum sensing algorithms based on eigenvalue and covariance methods. International Journal of Engineering and Technology (IJE), 5(2), 594–601.
15.
Zurück zum Zitat Kumar, R. (2014). Analysis of spectrum sensing techniques in cognitive radio. International Journal of Information and Computation Technology, 4(4), 437–444 ISSN 0974-2239. Kumar, R. (2014). Analysis of spectrum sensing techniques in cognitive radio. International Journal of Information and Computation Technology, 4(4), 437–444 ISSN 0974-2239.
16.
Zurück zum Zitat Chabbra, K., Banerjee, P., & Mahendru, G. (2014). Effect of dynamic threshold & noise uncertainty in energy detection spectrum sensing technique for cognitive radio systems. In International conference on signal processing and integrated networks (SPIN) (pp. 337–381). Chabbra, K., Banerjee, P., & Mahendru, G. (2014). Effect of dynamic threshold & noise uncertainty in energy detection spectrum sensing technique for cognitive radio systems. In International conference on signal processing and integrated networks (SPIN) (pp. 337–381).
Metadaten
Titel
Adaptive Energy Detection Based Solution for Fronthaul Problem in C-RAN
verfasst von
Lokesh Chouhan
H. S. Lalventhangi
Publikationsdatum
14.09.2018
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 4/2018
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-018-5960-6

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