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http://dx.doi.org/10.3837/tiis.2016.06.006

Hybrid Full Frequency Precoding for Integrated Remote Wireless Sensor and Multibeam Satellite Networks  

Li, Hongjun (College of Communication Engineering, PLA University of Science and Technology)
Dong, Feihong (College of Communication Engineering, PLA University of Science and Technology)
Gong, Xiangwu (College of Communication Engineering, PLA University of Science and Technology)
Deng, Changliang (College of Communication Engineering, PLA University of Science and Technology)
Jia, Luliang (College of Communication Engineering, PLA University of Science and Technology)
Wang, Jingchao (Institute of China Electronic System Engineering Company)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.10, no.6, 2016 , pp. 2546-2566 More about this Journal
Abstract
This paper investigates an efficient transmission scheme for the remote wireless sensors to receive information which is rarely discussed in the integrated remote wireless sensor and multibeam satellite networks (IWSMSNs). The networks can be employed to exchange sensing information for emergency scenario, ocean scenario, and so on, which are isolated from available terrestrial networks. As the efficient transmission link is important to the IWSMSNs, we propose a hybrid full frequency (HFF) precoding by taking advantage of frequency reuse and multiple-input multiple-output (MIMO) precoding. Considering energy efficiency and sinks fairness are crucial to transmission link, thus the HFF precoding problems are formulated as transmit power minimization (TPM) and max-min fair (MMF) received signal to interference plus noise ratio (SINR) problems, which can be transformed to indefinite quadratic optimization programs. Then this paper presents a semi-definite programming (SDP) algorithm to solve the problems for the IWSMSNs. The promising potential of HFF for the real IWSMSNs is demonstrated through simulations.
Keywords
hybrid full frequency; precoding; multiple-input multiple-output; integrated remote wireless sensor and multibeam satellite networks; semi-definite programming;
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1 O. Aulov, and M. Halem, “Human sensor networks for improved modeling of natural disasters,” IEEE Proceedings, vol. 100, no. 10, pp. 2812-2823, October, 2012. Article (CrossRef Link)   DOI
2 V. Dyo, S. Ellwood, D. Macdonald, A. Markham, et al., “WILDSENSING: design and deployment of a sustainable sensor network for wildlife monitoring,” ACM Transactions on Sensor Networks, vol. 8, no. 4, pp. 1651-1654, September, 2012. Article (CrossRef Link)   DOI
3 J. Caldeira, J. Rodrigues, and P. Lorenz, “Intra-mobility support solutions for healthcare wireless sensor networks-handover issues,” IEEE Sensors Joural, vol. 14, no. 10, pp. 4339-4348, November, 2013. Article (CrossRef Link)   DOI
4 G. Zheng, L. Fu, J. Li, and M. Li, “A large-scale multi-track mobile data collection mechanism for wireless sensor networks,” KSII Transactions on Internet and Information Systems, vol. 8, no. 3, pp. 857-872, March, 2014. Article (CrossRef Link)   DOI
5 S. Astapov, J. Preden, J. Ehala and V. Milutinovic, "Object detection for military surveillance using distributed multimodal smart sensors," in Proc. of the 19th International Conference on Digital Signal Processing (DSP'14), pp. 366-371, Hong Kong, August 20-23, 2014. Article (CrossRef Link)
6 I. Akyldiz, W. Su, Y. Sankarasubramaniam and E. Cayirci, “A survey on sensor networks,” IEEE Communications Magazine, vol. 40, no. 8, pp. 102-114, August, 2002. Article (CrossRef Link)   DOI
7 J. Mukherjee and B. Ramamurthy, “Communication technologies and architectures for space network and interplanetary internet,” IEEE Communications Surveys & Tutorials, vol. 15, no. 2, pp. 881-897, Second Quarter, 2013. Article (CrossRef Link)   DOI
8 F. Dong, H. Li, X. Gong, Q. Liu and J. Wang, “Energy-efficient transmissions for remote wireless sensor networks: an integrated HAP/satellite architecture for emergency scenarios,” Sensors, pp. 22266-22290, vol. 15, no. 9, September, 2015. Article (CrossRef Link)   DOI
9 I. Bisio and M. Marchese, “Satellite earth station (SES) selection method for satellite-based sensor networks,” IEEE Communications Letters, vol. 11, no. 12, pp. 970-972, December, 2007. Article (CrossRef Link)   DOI
10 J. Horneber, and A. Hergenroder, “A survey on testbeds and experimentation environments for wireless sensor networks,” IEEE Communications Surveys & Tutorials, vol. 16, no. 4, pp. 1820-1838, Fourth quarter, 2014. Article (CrossRef Link)   DOI
11 L. Borges, F. Velez and A. Lebres, “Survey on the characterization and classification of wireless sensor network applications,” IEEE Communications Surveys & Tutorials, vol. 16, no. 4, pp. 1860-1890, Fourthquarter, 2014. Article (CrossRef Link)   DOI
12 P. Kumar, M. Ylianttila, A. Gurtov, S. Lee and H. Lee, “An efficient and adaptive mutual authentication framework for heterogeneous wireless sensor network-based applications,” Sensors, vol. 14, no. 2, pp. 2732-2755, February, 2014. Article (CrossRef Link)   DOI
13 W. Wang, J. Cai, and Q. Peng, “Near-space microwave radar remote sensing: potentials and challenge analysis,” Remote Sensing, vol. 2, no. 3, pp. 717-739, March, 2010. Article (CrossRef Link)   DOI
14 F. Dong, M. Li, X. Gong, H. Li, and F. Gao, “Diversity performance analysis on multiple HAP networks,” Sensors, vol. 15, no. 7, pp. 15398-15418, June, 2015. Article (CrossRef Link)   DOI
15 W. Wang and D. Jiang, “Integrated wireless sensor systems via near-space and satellite platforms: a review,” IEEE Sensors Journal, vol. 14, no. 11, pp. 3903-3914, November, 2014. Article (CrossRef Link)   DOI
16 Q. Gao, Y. Zuo, J. Zhang and X. Peng, “Improving energy efficiency in a wireless sensor network by combining cooperative MIMO with data aggregation,” IEEE Transactions on Vehicular Technology, vol. 59, no. 8, pp. 3956-3965, October, 2010. Article (CrossRef Link)   DOI
17 I. Bisioa and M. Marchese, “Efficient satellite-based sensor networks for information retrieval,” IEEE Sensors Journal, vol. 2, no. 4, pp. 464-475, December, 2008. Article (CrossRef Link)
18 S. Verma, P. Pillai and Y. Hu, "Performance evaluation of alternative network architectures for sensor-satellite integrated networks," in Proc. of the International Conference on Advanced Information Networking and Applications Workshops (WAINA'13), pp. 120-125, Barcelona, Spain, March 25-28, 2013. Article (CrossRef Link)
19 W. Zhang, G. Zhang, F. Dong, Z. Xie and D. Bian, “Capacity model and constraints analysis for integrated remote wireless sensor and satellite network in emergency scenarios,” Sensors, vol. 15, no. 11, pp. 29036-29055, November, 2015. Article (CrossRef Link)   DOI
20 G. Psaltopoulos and A. Wittneben, “Nonlinear MIMO: affordable MIMO technology for wireless sensor networks,” IEEE Transactions on Wireless Communications, vol. 9, no. 2, pp. 824-832, February, 2010. Article (CrossRef Link)   DOI
21 B. Kim, K. Kim, and B. Roh, “ENC-MAC: energy-efficient non-overlapping channel MAC for cognitive radio enabled sensor networks,” KSII Transactions on Internet and Information Systems, vol. 9, no. 11, pp. 4367-4386, November, 2015. Article (CrossRef Link)   DOI
22 M. Arunraja and V. Malathi, “Collective prediction exploiting spatio temporal correlation (CoPeST) for energy efficient wireless sensor networks,” KSII Transactions on Internet and Information Systems, vol. 9, no. 7, pp. 2488-2511, July, 2015. Article (CrossRef Link)   DOI
23 G. Zheng, S. Chatzinotas and B. Ottersten, “Generic optimization of linear precoding in multibeam satellite systems,” IEEE Transactions on Wireless Communications, vol. 11, no. 6, pp. 2308-2320, June, 2012. Article (CrossRef Link)   DOI
24 P. Arapoglou, K. Liolis, M. Bertinelli, et al., “MIMO over satellite: a review,” IEEE Communications Surveys & Tutorials, vol. 13, no. 1, pp. 27-51, First Quarter, 2011. Article (CrossRef Link)   DOI
25 L. Cottatellucci, M. Debbah, G. Gallinaro, et al., "Interference mitigation techniques for broadband satellite systems," in Proc. of the 24th AIAA International Communications Satellite Systems Conference (ICSSC'06), pp. 1-13, San Diego, USA, June 11-14, 2006. Article (CrossRef Link)
26 B. Devillers, A. Perez-Neira and C. Mosquera, "Joint linear precoding and beamforming for the forward link of multi-beam broadband satellite systems," in Proc. of the IEEE Global Telecommunications Conference (GLOBECOM'11), pp. 1-6, Houston, USA, December 5-9, 2011. Article (CrossRef Link)
27 G. Song, B. Hu and X. Zhang, "Optimal linear precoding scheme for multibeam satellite systems based on partial channel information," in Proc. of the Wireless and Optical Communication Conference (WOCC'15), pp. 1-4, Taipei, Taiwan, October 23-24, 2015. Article (CrossRef Link)
28 H. Du, T. Ratnarajah, M. Pesavento and C. Papadias, “Joint transceiver beamforming in mimo cognitive radio network via second-order cone programming,” IEEE Transactions on Signal Processing, vol. 60, no. 2, pp. 781-792, February, 2012. Article (CrossRef Link)   DOI
29 S. Cai and Y. Gong, “Cognitive beamforming for multiple secondary data streams with individual snr constraints,” IEEE Transactions on Signal Processing, vol. 61, no. 17, pp. 4189-4198, September, 2013. Article (CrossRef Link)   DOI
30 T. Phan, A. Vorobyov, N. Sidiropoulos and C. Tellambura, “Spectrum sharing in wireless networks via qos-aware secondary multicast beamforming,” IEEE Transactions on Signal Processing, vol. 57, no. 6, pp. 2323-2335, June, 2009. Article (CrossRef Link)   DOI
31 N. D. Sidiropoulos, T. N. Davidson, and Z-Q. Luo, “Transmit beamforming for physical-layer multicasting,” IEEE Transactions on Signal Processing, vol. 54, no. 6, June, 2006. Article (CrossRef Link)   DOI
32 D. Christopoulos, S. Chatzinotas, M. Matthaiouy and B. Ottersten, "Capacity analysis of multibeam joint decoding over composite satellite channels," in Proc. of the 45th Asilomar Conference on Signals, Systems and Computers (ASILOMAR'11), pp. 1795-1799, Pacific Grove, CA, November 6-9, 2011. Article (CrossRef Link)
33 Z. Luo, W. Ma, A. So, Y. Ye and S. Zhang, “Semidefinite relaxation of quadratic optimization problems,” IEEE Signal Processing Magazine, vol. 27, no. 3, pp. 20-34, May, 2010. Article (CrossRef Link)   DOI
34 M. Grant, and S. Boyd, Cvx: Matlab software for disciplined convex programming. version 1.21. Article (CrossRef Link)
35 S. Boyd, and L. Vandenberghe, “Convex optimization,” Cambridge University Press, London, United Kingdom, 2009. Article (CrossRef Link)