Abstract
In this paper, optimal power allocation is investigated for maximizing the secrecy rate of orthogonal frequency division multiplexing (OFDM) systems under arbitrarily distributed input signals. Considering the discrete inputs are used in practical systems rather than the commonly assumed Gaussian inputs, we focus on secrecy rate maximization under more practical finite discrete constellations in this paper. It is known that the secrecy rate achieved by Guassian distributed inputs is concave with respect to the transmission power. However, we prove that the secrecy rate of finite discrete constellations is non-concave, which makes traditional convex optimization methods not applicable to our problem. To address this non-concave power allocation problem, we propose an efficient power allocation algorithm. Its gap from optimality vanishes asymptotically at the rate \(O(1/\sqrt{N})\), and its complexity grows in order of O(N), where N is the number of sub-carriers. Numerical results are provided to illustrate the benefits and significance of the proposed algorithm.
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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Qin, H., Sun, Y., Chen, X., Zhao, M., Wang, J. (2012). Optimal Power Allocation for OFDM-Based Wire-Tap Channels with Arbitrarily Distributed Inputs. In: Ren, P., Zhang, C., Liu, X., Liu, P., Ci, S. (eds) Wireless Internet. WICON 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 98. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30493-4_20
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DOI: https://doi.org/10.1007/978-3-642-30493-4_20
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