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In this paper, we jointly perform the cell selection and activation (CSA) to maximize the network energy efficiency (EE) under users' long-term rate constraints for green communications in ultra-dense heterogeneous networks (UD-HetNets). The finally formulated problem is in a mixed-integer fractional form and hard to tackle. We first transform it into a parametric subtractive form, by which we reach...
Estimating the number of hidden neurons required for the implementation of an arbitrary function is a fundamental problem of neural networks. This paper presents the lower bound on the number of hidden neurons in three-layer multi-valued multi-threshold neural networks for implementation of an arbitrary q-valued function defined on a set of N-point with n-dimension (N??qn). This result can be applied...
A novel flexible decoding architecture for quasi-cyclic (QC) low-density parity-check (LDPC) code is proposed in this paper to reduce decoding complexity. The novelty of this architecture lies in a new time-sharing scheme of processing units, which provides low complexity and flexible serial factor of decoding hardware. Without loss of coding performance, the architecture requires significantly less...
A new encryption strategy proposed in this paper, which based on duple permutation, is designed for transparent transcoding. Firstly the original image is divided into several macro blocks by certain size, and the sequence of macro block rows is reordered. Then, the macro blocks are permuted in rows. Theoretical analysis and experimental results indicate that the strategy proposed in this paper is...
A high-throughput decoding architecture for quasi-cyclic (QC) low-density parity-check (LDPC) codes is developed in this paper. Regular pipelined schemes of the partially parallel decoder, which are adaptable to various decoding requirements, are derived to simplify the design and implementation. Utilizing normalized uniformly most powerful (UMP) belief propagation (BP) algorithm, pipelined partially...
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