Comparison of generalized Q-function algorithms
IEEE Transactions on Information Theory
Convex Optimization
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IEEE Transactions on Communications
On the Mutual information distribution of MIMO rician fading channels
IEEE Transactions on Communications
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New bounds for the generalized Marcum Q-function
IEEE Transactions on Information Theory
On the monotonicity of the generalized Marcum and Nuttall Q-functions
IEEE Transactions on Information Theory
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
IEEE Transactions on Wireless Communications
New bounds for the Marcum Q-function
IEEE Transactions on Information Theory
Diversity–Multiplexing Tradeoff and Outage Performance for Rician MIMO Channels
IEEE Transactions on Information Theory
Largest eigenvalue of complex Wishart matrices and performance analysis of MIMO MRC systems
IEEE Journal on Selected Areas in Communications
Hi-index | 754.84 |
In this paper, we present a comprehensive study of the monotonicity and log-concavity of the generalized Marcum and Nuttall Q-functions. More precisely, a simple probabilistic method is first given to prove the monotonicity of these two functions. Then, the log-concavity of the generalized Marcum Q-function and its deformations is established with respect to each of the three parameters. Since the Nuttall Q-function has similar probabilistic interpretations as the generalized Marcum Q-function, we deduce the log-concavity of the Nuttall Q-function. By exploiting the log-concavity of these two functions, we propose new tight lower and upper bounds for the generalized Marcum and Nuttall Q-functions. Our proposed bounds are much tighter than the existing bounds in the literature in most of the cases. The relative errors of our proposed bounds converge to 0 as b → ∞. The numerical results show that the absolute relative errors of the proposed bounds are less than 5% in most of the cases. The proposed bounds can be effectively applied to the outage probability analysis of interference-limited systems such as cognitive radio and wireless sensor network, in the study of error performance of various wireless communication systems operating over fading channels and extracting the log-likelihood ratio for differential phase-shift keying (DPSK) signals.