2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2014
DOI: 10.1109/icassp.2014.6854696
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The impact of finite-alphabet input on the secrecy-achievable rates for broadcast channel with confidential message

Abstract: This paper investigates the maximization of the secrecyachievable rate region for the Gaussian broadcast channel with confidential message (BCCM) using finite input constellations. The maximization is done jointly over symbol positions and their joint probabilities. The secrecy-achievable rate regions are given for various broadcast strategies which differ in their complexity of implementation. We compare these strategies in terms of improvement in achievable rates and we study the impact of finite input alpha… Show more

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Cited by 1 publication
(5 citation statements)
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“…is a concave function in D where D is the set of input alphabets with a minimum spacing between symbols greater than d and d is a function of the SNR and of the constellation size [15]. This condition was observed in experiments for most values of studied SNR (except when the value of s is very high such that s…”
Section: B Numerical Solutionmentioning
confidence: 74%
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“…is a concave function in D where D is the set of input alphabets with a minimum spacing between symbols greater than d and d is a function of the SNR and of the constellation size [15]. This condition was observed in experiments for most values of studied SNR (except when the value of s is very high such that s…”
Section: B Numerical Solutionmentioning
confidence: 74%
“…Therefore, the problem is now to choose an appropriate initial point. It is observed in [15] that the size of the region T k,θ (P U X ) where the objective function in (10) is concave in P U X is larger when θ increases. Thus we have more chance that the algorithm converges from a random initial guess in this case.…”
Section: B Numerical Solutionmentioning
confidence: 99%
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