Abstract
Multi-Group multicast (MGMC) technology will play a very important role in the future multimedia communication application. It is valuable to study MGMC under the cognitive radio (CR) scenario since its spectrum efficiency. In this paper, we studied the power allocation strategy for sensing-based spectrum sharing (SSSA) CR networks, in order to maximize the overall rate of multi-group multicast (MGMC) mechanism. To effectively protect the primary user (PU) from harmful interference, we proposed an optimal resource allocation algorithm by considering the average transmit power constraint and interference power constraint for SSSA CR with MGMC under imperfect spectrum sensing case. Finally, numerical results have been obtained to compare the performances of two CR access schemes (underlay access and SSSA) and to validate the theoretical analysis.
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References
Vella, J.M., Zammit, S.: A survey of multicasting over wireless access networks. IEEE Commun. Surv. Tutor. 15(2), 718–753 (2013)
Gruber, M., Zeller, D.: Multimedia broadcast multicast service: new transmission schemes and related challenges. IEEE Commun. Mag. 49(12), 176–181 (2011)
Hao, W.M., Yang, S.Y., Ning, B.: Optimal resource allocation for CR networks with multi-group multicast based on inter-group and inner-group cooperation transmission. In: IEEE Vehicular Technology Conference, pp. 1–4 (2015)
Lecompte, D., Gabin, F.: Evolved multimedia broadcast/multicast service in LTE-advanced: overview and Rel-11 enhancements. IEEE Commun. Mag. 50(11), 68–74 (2012)
Afolabi, R.O., Dadlani, A., Kim, K.: Multicast scheduling and resource allocation algorithms for OFDMA based systems: a survey. IEEE Commun. Surv. Tutor. 15(1), 240–254 (2013)
Li, Y.X., Peng, Q.Y., Wang, X.B.: Multicast capacity with max-min fairness for heterogeneous networks. IEEE/ACM Trans. Netw. 22(2), 622–635 (2014)
Hadef, M., Apostolaras, A., O’Reilly, J.: Cooperative multicast resource allocation strategy. In: IEEE Wireless Communications and Networking Conference (WCNC), pp. 2769–2774 (2014)
Zhao, H., Su, W.: Cooperative wireless multicast: performance analysis and power location optimization. IEEE Trans. Wirel. Commun. 9(6), 2088–2010 (2010)
Liang, Y.-C., Zeng, Y., Peh, E.C.: Sensing-throughput tradeoff for cognitive radio networks. IEEE Trans. Wirel. Commun. 7(4), 1326–1337 (2008)
Stotas, S., Nallanathan, A.: Optimal sensing time and power allocation in multiband cognitive radio networks. IEEE Trans. Commun. 59(1), 226–235 (2011)
Zhang, R., Kang, X., Liang, Y.-C.: Protecting primary users in cognitive radio networks: peak or average interference power constraint? In: IEEE International Conference on Communications, pp. 1–5 (2009)
Dashti, M., Azmi, P., Navaie, K.: Radio resource allocation for orthogonal frequency division multiple access-based underlay cognitive radio networks utilising weighted ergodic rates. IET Commun. 6(16), 2543–2552 (2012)
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Li, X., Yang, S., Zhao, X., Cheng, Q. (2017). Optimal Power Allocation for Multi-group Multicast Under Sensing-Based Spectrum Sharing Cognitive Radio Networks. In: Peng, SL., Lee, GL., Klette, R., Hsu, CH. (eds) Internet of Vehicles. Technologies and Services for Smart Cities. IOV 2017. Lecture Notes in Computer Science(), vol 10689. Springer, Cham. https://doi.org/10.1007/978-3-319-72329-7_7
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DOI: https://doi.org/10.1007/978-3-319-72329-7_7
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