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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보통신학회JICCE Journal of information and communication convergence engineering Journal of information and communication convergence engineering Vol.15 No.2
- 발행연도
- 2017.6
- 수록면
- 79 - 84 (6page)
이용수
초록· 키워드
오류제보하기
In a cognitive radio network (CRN), cognitive radio users (CUs) should be powered by a small battery for their operations. The operations of the CU often include spectrum sensing and data transmission. The spectrum sensing process may help the CU avoid a collision with the primary user (PU) and may save the energy that is wasted in transmitting data when the PU is present. However, in a time-slotted manner, the sensing process consumes energy and reduces the time for transmitting data, which degrades the achieved throughput of the CRN. Subsequently, the sensing process does not always offer an advantage in regards to throughput to the CRN. In this paper, we propose a scheme to find an optimal policy (i.e., perform spectrum sensing before transmitting data or transmit data without the sensing process) for maximizing the achieved throughput of the CRN. In the proposed scheme, the data collection period is considered as the main factor effecting on the optimal policy. Simulation results show the advantages of the optimal policy.
목차
Abstract
I. INTRODUCTION
II. SYSTEM MODEL
III. AN OPTIMAL POLICY FOR CU OPERATION
IV. SIMULATION RESULTS
V. CONCLUSION
REFERENCES
참고문헌 (12)
참고문헌 신청
Y. Hur, J. Park, W. Woo, K. Lim, C. H. Lee, H. S. Kim, and J. Laskar, “A wideband analog multi-resolution spectrum sensing (MRSS) technique for cognitive radio (CR) systems,” in Proceedings of IEEE International Symposium on Circuit and System (ISCAS), Island of Kos, Greece, pp. 4090-4093, 2006.
A. Sahai, N. Hoven, and R. Tandra, “Some fundamental limits on cognitive radio,” in Proceedings of Allerton Conference on Communications, Control, and Computing, Monticello, IL, pp. 1- 11, 2004.
Z. Shi, T. Tan, K. C. The, and K. H. Li, “Energy efficient cognitive radio network based on multiband sensing and spectrum sharing,” IET Communications, vol. 8, no. 9, pp. 1499-1507, 2014.
M. Zhou and X. Zhao, “Energy-efficient power allocation algorithm in cognitive radio networks,” IET Communications, vol. 10, no. 17, pp. 2445-2451, 2016.
S. Mao, M. H. Cheung, and V. Wong, “An optimal energy allocation algorithm for energy harvesting wireless sensor networks,” in Proceedings of IEEE International Conference on Communications (ICC), Ottawa, Canada, pp. 265?270, 2012.
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