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http://dx.doi.org/10.6109/jkiice.2016.20.3.506

Resource Allocation for Maximizing Energy Efficiency in Energy Harvesting Networks with Channel Estimation Error  

Lee, Kisong (Department of Information and Telecommunication Engineering, Kunsan National University)
Hong, Jun-Pyo (Department of Information and Communications Engineering, Pukyong National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.20, no.3, 2016 , pp. 506-512 More about this Journal
Abstract
Recently, energy harvesting technology is considered as a tool to improve the lifetime of sensor networks by mitigating the battery capacity limitation problem. However, the previous work on energy harvesting has failed to provide practical information since it has assumed an ideal channel knowledge model with perfect channel state information at transmitter (CSIT). This paper proposes an energy efficient resource allocation scheme that takes account of the channel estimation process and the corresponding estimation error. Based on the optimization tools, we provide information on efficient scheduling and power allocation as the functions of channel estimation accuracy, harvested energy, and data rate. The simulation results confirm that the proposed scheme outperforms the conventional energy harvesting networks without considering channel estimation error in terms of energy efficiency. Furthermore, with taking account of channel estimation error, the results provides a new way for allocating resources and scheduling devices.
Keywords
Energy Efficiency; Energy Harvesting; Channel Estimation; Resource Allocation;
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1 Study on enhancements for MTC, 3GPP TR Std. TR 22.888, v.0.4.0, 2011.
2 C. He, B. Sheng, P. Zhu, and X. You, "Energy efficiency and spectral efficiency tradeoff in downlink distributed antenna systems," IEEE Wireless Commun. Lett., vol. 1, no. 3, pp. 153-156, June 2012.   DOI
3 D. W. K. Ng, E. Lo, and R. Schober, "Energy-efficient resource allocation in OFDMA systems with large numbers of base station antennas," IEEE Trans. Wireless Commun., vol. 11, no. 9, pp. 3292-3304, Sept. 2012.   DOI
4 M. Pinuela, P. Mitcheson, and S. Lucyszyn, "Ambient RF energy harvesting in urban and semi-urban environments," IEEE Trans. Microwave Theory Tech., vol. 61, no. 7, pp. 2715-2726, July 2013.   DOI
5 R. Zhang and C. K. Ho, "MIMO broadcasting for simultaneous wireless information and power transfer," IEEE Trans. Wireless Commun., vol. 12, no. 5, pp. 1989-2001, May 2013.   DOI
6 L. Liu, R. Zhang, and K. Chua, "Wireless information and power transfer: a dynamic power splitting approach," IEEE Trans. Commun., vol. 61, no. 9, pp. 3990-4001, Sept. 2013.   DOI
7 R. Berry and R. Gallager, "Communication over fading channels with delay constraints," IEEE Trans. Inf. Theory, vol. 48, no. 5, pp. 1135-1149, May 2002.   DOI
8 B. Hassibi and B. M. Hochwald, "How much training is needed in multiple-antenna wireless links?," IEEE. Trans. Inf. Theory, vol. 49, no. 4, pp. 951-963, Apr. 2003.   DOI
9 O. Arnold, F. Richter, G. Fettweis, and O. Blume, "Power consumption modeling of different base station types in heterogeneous cellular networks," in Proc. Future Netw. Mobile Summit, pp. 18, June 2010.