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http://dx.doi.org/10.5392/IJoC.2016.12.1.070

Power Allocation and Capacity Analysis of Secondary User in Heterogeneous Spectrum Sharing Systems  

Lim, Sungmook (Dept. of Electronic Engineering Korea National University of Transportation)
Ko, Kyunbyoung (Dept. of IT Convergence & Dept. of Control and Instrumentation Engineering Korea National University of Transportation)
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Abstract
In this paper, we considered heterogeneous spectrum sharing system where the number of subcarriers of the primary user (PU) was twice as much as that of the secondary user (SU). In this case, due to non-orthogonality and inter-carrier interference (ICI) from SU to PU, it is difficult to satisfy the interference constraint of PU. In order to mitigate ICI and satisfy the interference constraint, we proposed a new transmission scheme of the SU with power allocation scheme. The proposed scheme will only generate subcarrier-by-subcarrier interference. Therefore, it can easily satisfy the interference constraint of the PR and enhance the capacity of the SU. In addition, we derived the ergodic capacity of the SU. Based on numerical results, we confirmed that the proposed schemes could guarantee SU with a reliable capacity while satisfying the interference constraint of the PU. In addition, the derived capacity well matched the numerical results.
Keywords
Spectrum Sharing System; Heterogeneous System; OFDM; Power Allocation; Capacity;
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1 S. Haykin, “Cognitive radio: brain-empowered wireless communications,” IEEE Signal Processing Mag., vol. 23, no. 2, Feb. 2005, pp. 201-220.
2 J. M. Peha, “Approaches to spectrum sharing,” IEEE Commun. Mag., vol. 43, no. 2, Feb. 2005, pp. 10-12.   DOI
3 A. J. Goldsmith, S. A. Jafar, I. Maric, and S. Srinivasa, “Breaking spectrum gridlock with cognitive radios: an information theoretic perspective,” Proc. IEEE, vol. 97, no. 5, May 2009, pp. 894-914.   DOI
4 A. Ghasemi and E. S. Sousa, “Fundamental limits of spectrum-sharing in fading environments,” IEEE Trans. Wireless Commun., vol. 6, no. 2, Feb. 2007, pp. 649-658.   DOI
5 H. Wang, J. Lee, S. Kim, and D. Hong, “Capacityenhancement of secondary links through spatial diversity in spectrum sharing,” IEEE Trans. Wireless Commun., vol. 9, no. 2, Feb. 2010.   DOI
6 H. A. Suraweera, P. J. Smith, and M. Shafi, “Capacity limits and performance analysis of cognitive radio with imperfect channel knowledge,” IEEE Trans. Veh. Technol., vol. 59, no. 4, May. 2010.   DOI
7 Alberto Leo-Garcia, Probability and Random Processes for Electrical Engineering, 2nd Edition, Prentice Hall, 1993.
8 S. Lim, H. Wang, H. Kim, and D. Hong, “Mean value-based power allocation without instantaneous CSI feedback in spectrum sharing systems,” IEEE Trans. Wireless Commun., vol.11, no.3, Mar. 2012, pp. 874-879.   DOI
9 S, Lim and K. Ko, "A novel power allocation scheme of secondary user in OFDM-based spectrum sharing system," Proc. International Conference on Convergence Content, Dec. 2015.
10 S. Lim, G. Noh, H. Kim, and D. Hong, “Optimal tone space selection scheme for OFDMA-VTS in carrier aggregation,” IEEE Trans. Wireless Commun., vol. 12, no. 11, Nov. 2013, pp. 5679-5691.   DOI