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2019 | OriginalPaper | Buchkapitel

Robust Power Control Algorithm Based on Probabilistic Constraints in Cognitive Radio Networks

verfasst von : Guanglong Yang, Xuezhi Tan, Xiao Wang

Erschienen in: Green Energy and Networking

Verlag: Springer International Publishing

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Abstract

When the channel fading is assumed to be fast fading and the transient variation of the channel gain is considered, the signal-to-interference noise ratio (SINR, Signal to Interference plus Noise Ratio) of the secondary user changes with the channel gain. This will cause some secondary users to fail to get the SINR, required for normal communication if the secondary user transmit power is enhanced, although it meets the secondary user communication requirements, at the same time, the interference to the primary user exceeds the interference threshold. Affects the normal communication of the primary user. In order to solve this problem, a robust power control algorithm based on probabilistic constraints is proposed. In this paper, the average SINR model is transformed into the uncertain distribution model by introducing the uncertain parameters satisfying the exponential distribution. In this paper, the SINR probability density functions of primary and secondary users are given, and the probabilistic constraints are transformed into deterministic constraints. In order to solve the secondary user transmit power, the interference temperature of the primary user is taken as the constraint condition, and the complete iterative algorithm is used to realize the fast convergence of the secondary user transmit power. Since the protection of the primary user will lead to the damage of the interests of some secondary users, this chapter introduces the admission control, according to the highest degree of dissatisfaction first eliminate the mode of the sub-users who do not meet the requirements of communication to implement admission control. The number of secondary users meeting the communication condition in the system is increased. The simulation results show that the algorithm can quickly identify the secondary users who do not meet the communication conditions, and avoid the excessive elimination of the secondary users, increase the number of secondary users who can communicate normally, and increase the total throughput of the system.

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Literatur
1.
Zurück zum Zitat Han, S., Liang, Y.-C., Soong, B.-H.: Robust joint resource allocation for OFDMA-CDMA spectrum refarming system. IEEE Trans. Commun. 64(3), 1291–1302 (2016)CrossRef Han, S., Liang, Y.-C., Soong, B.-H.: Robust joint resource allocation for OFDMA-CDMA spectrum refarming system. IEEE Trans. Commun. 64(3), 1291–1302 (2016)CrossRef
2.
Zurück zum Zitat Bao, Y., Chen, H.: Design of robust broadband beamformers using worst-case performance optimization: a semidefinite programming approach. IEEE/ACM Trans. AudioSpeech Lang. Process. 25(4), 895–907 (2017)CrossRef Bao, Y., Chen, H.: Design of robust broadband beamformers using worst-case performance optimization: a semidefinite programming approach. IEEE/ACM Trans. AudioSpeech Lang. Process. 25(4), 895–907 (2017)CrossRef
3.
Zurück zum Zitat Phunchongharm, P., Hossain, E.: Distributed robust scheduling and power control for cognitive spatial-reuse TDMA networks. IEEE J. Sel. Areas Commun. 30(10), 1934–1946 (2012)CrossRef Phunchongharm, P., Hossain, E.: Distributed robust scheduling and power control for cognitive spatial-reuse TDMA networks. IEEE J. Sel. Areas Commun. 30(10), 1934–1946 (2012)CrossRef
4.
Zurück zum Zitat Du, H., Ratnarajah, T.: Robust utility maximization and admission control for a MIMO cognitive radio network. IEEE Trans. Veh. Technol. 62(4), 1707–1718 (2013)CrossRef Du, H., Ratnarajah, T.: Robust utility maximization and admission control for a MIMO cognitive radio network. IEEE Trans. Veh. Technol. 62(4), 1707–1718 (2013)CrossRef
5.
Zurück zum Zitat Mokari, N., Saeedi, H., Azmi, P.: Quantized ergodic radio resource allocation in cognitive femto networks with controlled collision and power outage probabilities. IEEE J. Sel. Areas Commun. 32(11), 2090–2104 (2014)CrossRef Mokari, N., Saeedi, H., Azmi, P.: Quantized ergodic radio resource allocation in cognitive femto networks with controlled collision and power outage probabilities. IEEE J. Sel. Areas Commun. 32(11), 2090–2104 (2014)CrossRef
6.
Zurück zum Zitat Rasti, M., Hasan, M., Le, L.B., Hossain, E.: Distributed uplink power control for multi-cell cognitive radio networks. IEEE Trans. Commun. 63(3), 628–642 (2015)CrossRef Rasti, M., Hasan, M., Le, L.B., Hossain, E.: Distributed uplink power control for multi-cell cognitive radio networks. IEEE Trans. Commun. 63(3), 628–642 (2015)CrossRef
7.
Zurück zum Zitat Xu, Y.J., Zhao, X.H.: Robust probabilistic distributed power control algorithm for underlay cognitive radio networks under channel uncertainties. Wirel. Pers. Commun. 78(2), 1297–1312 (2014)MathSciNetCrossRef Xu, Y.J., Zhao, X.H.: Robust probabilistic distributed power control algorithm for underlay cognitive radio networks under channel uncertainties. Wirel. Pers. Commun. 78(2), 1297–1312 (2014)MathSciNetCrossRef
Metadaten
Titel
Robust Power Control Algorithm Based on Probabilistic Constraints in Cognitive Radio Networks
verfasst von
Guanglong Yang
Xuezhi Tan
Xiao Wang
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-030-21730-3_3