Visible to the public Biblio

Filters: Keyword is wireless channel conditions  [Clear All Filters]
2020-11-20
Dung, L. T., Tran, H. T. K., Hoa, N. T. T., Choi, S..  2019.  Analysis of Local Secure Connectivity of Legitimate User in Stochastic Wireless Networks. 2019 3rd International Conference on Recent Advances in Signal Processing, Telecommunications Computing (SigTelCom). :155—159.
In this paper, we investigate the local secure connectivity in terms of the probability of existing a secure wireless connection between two legitimate users and the isolated security probability of a legitimate user in stochastic wireless networks. Specifically, the closed-form expressions of the probability that there is a secure wireless communication between two legitimate users are derived first. Then, based on these equations, the corresponding isolated secure probability are given. The characteristics of local secure connectivity are examined in four scenarios combined from two wireless channel conditions (deterministic/Rayleigh fading) and two eavesdropper configurations (non-colluding/colluding). All the derived mathematical equations are validated by the Monte-Carlo simulation. The obtained numerical results in this paper reveal some interesting features of the impact of eavesdropper collusion, wireless channel fading, and density ratio on the secure connection probability and the isolated security probability of legitimate user in stochastic networks.
2015-05-06
Bi Hong, Wan Choi.  2014.  Asymptotic analysis of failed recovery probability in a distributed wireless storage system with limited sum storage capacity. Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on. :6459-6463.

In distributed wireless storage systems, failed recovery probability depends on not only wireless channel conditions but also storage size of each distributed storage node. For efficient utilization of limited storage capacity, we asymptotically analyze the failed recovery probability of a distributed wireless storage system with a sum storage capacity constraint when signal-to-noise ratio goes to infinity, and find the optimal storage allocation strategy across distributed storage nodes in terms of the asymptotic failed recovery probability. It is also shown that when the number of storage nodes is sufficiently large the storage size required at each node is not so large for high exponential order of the failed recovery probability.