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WIRELESS COMMUNICATIONS & MOBILE COMPUTING Volume 2019 ,2019-06-26
Dynamic Traffic Prediction with Adaptive Sampling for 5G HetNet IoT Applications
Research Article
Shuangli Wu 1 , 2 Wei Mao 1 , 3 Cong Liu 4 Tao Tang 4
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DOI:10.1155/2019/4687272
Received 2019-04-01, accepted for publication 2019-06-12, Published 2019-06-12
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摘要

Due to the proliferation of global monitoring sensors, the Internet of Things (IoT) is widely used to build smart cities and smart homes. 5G HetNets play an important role in the IoT video stream. This paper proposes an improved Call Session Control Function (CSCF) scheme. The improved CSCF server contains additional modules to facilitate IoT traffic prediction and resource reservation. We highlight traffic prediction in this work and develop a compressed sensing based linear predictor to catch the traffic patterns. Experimental results justify that our proposed scheme can forecast the traffic load with high accuracy but low sampling overhead.

授权许可

Copyright © 2019 Shuangli Wu et al. 2019
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

通讯作者

Shuangli Wu.Computer Network Information Center, Chinese Academy of Sciences, Beijing, China, cas.cn;University of Chinese Academy of Sciences, Beijing, China, ucas.ac.cn.wushuangli@cnic.cn

推荐引用方式

Shuangli Wu,Wei Mao,Cong Liu,Tao Tang. Dynamic Traffic Prediction with Adaptive Sampling for 5G HetNet IoT Applications. WIRELESS COMMUNICATIONS & MOBILE COMPUTING ,Vol.2019(2019)

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参考文献
[1] G. Shrividya, S. H. Bharathi. A study of optimum sampling pattern for reconstruction of MR images using compressive sensing. :1-6. DOI: 10.1109/TCOMM.2018.2877671.
[2] S. Han, Y. Zhang, W. Meng, H. Chen. et al.(2018). Self-interference-cancelation-based SLNR precoding design for full-duplex relay-assisted system. IEEE Transactions on Vehicular Technology.67(9):8249-8262. DOI: 10.1109/TCOMM.2018.2877671.
[3] S. Rouabah, M. Ouarzeddine, B. Souissi. SAR images compressed sensing based on recovery algorithms. :8897-8900. DOI: 10.1109/TCOMM.2018.2877671.
[4] Z. Zhang, L. Song, Z. Han, W. Saad. et al.(2014). Coalitional games with overlapping coalitions for interference management in small cell networks. IEEE Transactions on Wireless Communications.13(5):2659-2669. DOI: 10.1109/TCOMM.2018.2877671.
[5] N. Eswara, K. Manasa, A. Kommineni, S. Chakraborty. et al.(2018). A continuous QoE evaluation framework for video streaming over HTTP. IEEE Transactions on Circuits and Systems for Video Technology.28(11):3236-3250. DOI: 10.1109/TCOMM.2018.2877671.
[6] S. Sun, M. Kadoch, L. Gong, B. Rong. et al.(2015). Integrating network function virtualization with SDR and SDN for 4G/5G networks. IEEE Network.29(3):54-59. DOI: 10.1109/TCOMM.2018.2877671.
[7] G. Ma, Y. Yang, X. Qiu, Z. Gao. et al.Fault-tolerant topology control for heterogeneous wireless sensor networks using Multi-Routing Tree. :620-623. DOI: 10.1109/TCOMM.2018.2877671.
[8] M. Li, Y. Du, X. Ma, S. Huang. et al.A 3-param network selection algorithm in heterogeneous wireless networks. :392-396. DOI: 10.1109/TCOMM.2018.2877671.
[9] A. Sammoud, A. Kumar, M. Bayoumi, T. Elarabi. et al.Real-time streaming challenges in Internet of Video Things (IoVT). :1-4. DOI: 10.1109/TCOMM.2018.2877671.
[10] S. Han, S. Xu, W. Meng, C. Li. et al.(2018). Dense-device-enabled cooperative networks for efficient and secure transmission. IEEE Network.32(2):100-106. DOI: 10.1109/TCOMM.2018.2877671.
[11] S. Han, Y. Huang, W. Meng, C. Li. et al.(2019). Optimal power allocation for SCMA downlink systems based on maximum capacity. IEEE Transactions on Communications.67(2):1480-1489. DOI: 10.1109/TCOMM.2018.2877671.
[12] M. Lu, Z. Qu, Z. Wang, Z. Zhang. et al.(2018). Hete_MESE: multi-dimensional community detection algorithm based on multiplex network extraction and seed expansion for heterogeneous information networks. IEEE Access.6:73965-73983. DOI: 10.1109/TCOMM.2018.2877671.
[13] Y. Wu, B. Rong, K. Salehian, G. Gagnon. et al.(2012). Cloud transmission: a new spectrum-reuse friendly digital terrestrial broadcasting transmission system. IEEE Transactions on Broadcasting.58(3):329-337. DOI: 10.1109/TCOMM.2018.2877671.
[14] Z. Zheng, L. Pan, K. Pholsena. Mode decomposition based hybrid model for traffic flow prediction. :521-526. DOI: 10.1109/TCOMM.2018.2877671.
[15] D. Ghadiyaram, J. Pan, A. C. Bovik. (2019). A subjective and objective study of stalling events in mobile streaming videos. IEEE Transactions on Circuits and Systems for Video Technology.29(1):183-197. DOI: 10.1109/TCOMM.2018.2877671.
[16] A. Montazerolghaem, M. H. Moghaddam, A. Leon-Garcia. (2018). OpenSIP: toward software-defined SIP networking. IEEE Transactions on Network and Service Management.15(1):184-199. DOI: 10.1109/TCOMM.2018.2877671.
[17] K. Zhang, S. Leng, Y. He, S. Maharjan. et al.(2018). Cooperative content caching in 5G networks with mobile edge computing. IEEE Wireless Communications Magazine.25(3):80-87. DOI: 10.1109/TCOMM.2018.2877671.
[18] A. K. Vimal, S. Pandit, A. K. Godiyal, S. Anand. et al.An instrumented flexible insole for wireless COP monitoring. :1-5. DOI: 10.1109/TCOMM.2018.2877671.
[19] N. Anselmi, L. Poli, G. Oliveri, A. Massa. et al.Three dimensional imaging with the contrast source compressive sampling. :1-2. DOI: 10.1109/TCOMM.2018.2877671.
[20] S. Fan, H. Zhao. (2018). Delay-based cross-layer QoS scheme for video streaming in wireless ad hoc networks. China Communications.15(9):215-234. DOI: 10.1109/TCOMM.2018.2877671.
[21] A. Mirrashid, A. A. Beheshti. Compressed remote sensing by using deep learning. :549-552. DOI: 10.1109/TCOMM.2018.2877671.
[22] J. Rosenberg, H. Schulzrinne, G. Camarillo, A. Johnston. et al.(June 2002). SIP: session initiation protocol. RFC 3261. DOI: 10.1109/TCOMM.2018.2877671.
[23] B. Rong, Y. Qian, K. Lu, H.-H. Chen. et al.(2008). Call admission control optimization in WiMAX networks. IEEE Transactions on Vehicular Technology.57(4):2509-2522. DOI: 10.1109/TCOMM.2018.2877671.
[24] K. Zhang, S. Leng, Y. He, S. Maharjan. et al.(2018). Mobile edge computing and networking for green and low-latency internet of things. IEEE Communications Magazine.56(5):39-45. DOI: 10.1109/TCOMM.2018.2877671.
[25] I. D. Irawati, A. B. Suksmono, I. Y. M. Edward. Local interpolated compressive sampling for internet traffic reconstruction. :93-98. DOI: 10.1109/TCOMM.2018.2877671.
[26] T. Zhang, L. Feng, P. Yu, S. Guo. et al.A handover statistics based approach for cell outage detection in self-organized heterogeneous networks. :628-631. DOI: 10.1109/TCOMM.2018.2877671.
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