Browse > Article
http://dx.doi.org/10.3837/tiis.2014.09.007

Throughput Maximization for a Primary User with Cognitive Radio and Energy Harvesting Functions  

Nguyen, Thanh-Tung (School of Electrical Engineering, University of Ulsan)
Koo, Insoo (School of Electrical Engineering, University of Ulsan)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.8, no.9, 2014 , pp. 3075-3093 More about this Journal
Abstract
In this paper, we consider an advanced wireless user, called primary-secondary user (PSU) who is capable of harvesting renewable energy and connecting to both the primary network and cognitive radio networks simultaneously. Recently, energy harvesting has received a great deal of attention from the research community and is a promising approach for maintaining long lifetime of users. On the other hand, the cognitive radio function allows the wireless user to access other primary networks in an opportunistic manner as secondary users in order to receive more throughput in the current time slot. Subsequently, in the paper we propose the channel access policy for a PSU with consideration of the energy harvesting, based on a Partially Observable Markov decision process (POMDP) in which the optimal action from the action set will be selected to maximize expected long-term throughput. The simulation results show that the proposed POMDP-based channel access scheme improves the throughput of PSU, but it requires more computations to make an action decision regarding channel access.
Keywords
Primary-secondary user; energy harvesting; cognitive radio; channel access policy; Partially Observable Markov decision process (POMDP);
Citations & Related Records
연도 인용수 순위
  • Reference
1 E. Z. Tragos, S. Zeadally, A. G. Fragkiadakis, and V. A. Siris, "Spectrum assignment in cognitive radio networks: A comprehensive survey," IEEE Communications Surveys & Tutorials, vol. 15, no. 3, pp. 1108-1135, July, 2013.   DOI   ScienceOn
2 S. Park, S. Lee, B. Kim, D. Hong, and J. Lee, "Energy-efficient opportunistic spectrum access in cognitive radio networks with energy harvesting," in Proc. of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management, pp. 62:1-62:5, 2011.
3 S. Park, H. Kim, and D. Hong, "Cognitive radio networks with energy harvesting," IEEE Transactions on Wireless Communications, vol. 12, no. 3, pp. 1386-1397, March, 2013.   DOI   ScienceOn
4 V. Sharma, U. Mukherji, V. Joseph, and S. Gupta, "Optimal energy management policies for energy harvesting sensor nodes," IEEE Transactions on Wireless Communications, vol. 9, no. 4, pp. 1326-1336, April, 2010.   DOI   ScienceOn
5 A. T. Hoang, Y. C. Liang, D. T. C. Wong, Y. Zeng, and R. Zhang, "Opportunistic spectrum access for energy-constraint cognitive radios," IEEE Transactions on Wireless Communications, vol. 8, no. 3, pp. 1206-1211, March, 2009.   DOI   ScienceOn
6 Q. Zhao, L. Tong, A. Swami, and Y. Chen, "Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework," IEEE journal on Selected Areas in Communications, vol. 25, no. 3, pp. 589-600, April, 2007.   DOI   ScienceOn
7 Y. C. Liang, Y. Zeng, E. C. Y. Peh, and A. T. Hoang, "Sensing-throughput tradeoff for cognitive radio networks," IEEE Transactions on Wireless Communications, vol. 7, no. 4, pp. 1326-1337, April, 2008.   DOI   ScienceOn
8 A. Sultan, "Sensing and transmit energy optimization for an energy harvesting cognitive radio," IEEE Wireless Communications Letters, vol. 1, no. 5, pp. 500-503, October, 2012.   DOI   ScienceOn