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Due to the recent progress in deep learning and neural acceleration architectures, specialized deep neural network or convolutional neural network (CNNs) accelerators are expected to provide an energy-efficient solution for real-time vision/speech processing, recognition and a wide spectrum of approximate computing applications. In addition to their wide applicability scope, we also found that the...
Cloud radio access network (C-RAN) is considered to be a promising architecture for the future network due to its competitive advantage in both spectral efficiency and energy efficiency (EE). However, the tremendous increase in the mobile data traffic lead resource allocation in C-RANs to be less flexible and efficient. To solve this problem, an energy efficient resource allocation scheme for uplink...
As the number of users exponentially grows in the 5G mobile wireless environment, mobility support, flexibility reaction and integration are the major changes for the future satellite and terrestrial integrated network. Information-centric networking (ICN) and software defined networking (SDN) are considered to be the promising techniques to solve these problems. In this paper, a SDN-based ICN architecture...
With the development of the Internet of Things, the concept of Integrated Sensing Network (ISN) and its functional architecture are proposed. The core functions of the sensing stratum, the transport stratum, the service stratum and the management platform as well as a data flow model for ISN are discussed. The reference architecture and the model provide a common basis for the research and development...
In this paper, three centralized packet scheduling schemes with fairness-oriented feature are proposed for OFDMA multihop relaying networks, namely Greedy polling with novel starvation restrained (SR-GP), enhanced proportional fairness with SR (SR-EPF) and novel subcarrier pairing with hop balance (HB-SP) scheduling algorithms. SR-GP can bring better fairness than traditional throughput-oriented algorithms...
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