In this paper, we investigate the problem of energy saving (ES) for wireless access networks, especially for the inter-eNB scenario 2 which is a typical non-overlapped scenario specified by 3GPP.
We describe a system used to design private packet switched networks.
In this paper, based upon a probabilistic acoustic map (PAM) framework, we propose a discriminative Hidden Markov Model (HMM) training procedure.
We test for beta -conformance of an implementation linear operator A to a specification linear operator S where the operator domain and range are separable Hilbert spaces and the domain space F is
In wireless sensor networks, many communication protocols and applications rely on flooding for various networking purposes.
Renewal theory is a powerful tool in the analysis of source codes. In this paper, we use renewal theory to obtain some asymptotic properties of finite-state noiseless channels.
We propose a probabilistic distance measure for measuring the dissimilarity between pairs of hidden Markov models with arbitrary observation densities.
We consider the problem of selecting the kth largest of n inputs, where initially the inputs are stored in the n leaf processors of the 2n - 1 processor tree machine.
Industry 4.0 requires wireless solutions that meet various cyber-physical systems' high reliability and low latency requirements and serve many industrial sensors and actuators.
In this paper we consider a switching network as a directed graph.
