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International Journal of Modern Physics C, 2008
Small-world networks, exhibiting short nodal distances and high clustering, and scale-free networks, typified by a scale-free, power-law node-degree distribution, have been shown to be widespread both in natural and artificial systems. We propose a new type of network — cluster-dense network — characterized by multiple clusters that are highly intra ...
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Small-world networks, exhibiting short nodal distances and high clustering, and scale-free networks, typified by a scale-free, power-law node-degree distribution, have been shown to be widespread both in natural and artificial systems. We propose a new type of network — cluster-dense network — characterized by multiple clusters that are highly intra ...
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Dense Spatial Translation Network
2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES), 2018Neural networks are widely used in autonomous driving and driver assistance systems tasks. Limited by hardware, these networks are restricted by their capacity and capability. To deal with this limitation, an application dedicated unit which exploits prior knowledge on beneficial steps may reduce the required network complexity.
Weimeng Zhu +2 more
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2020
Understand the theoretical principles, key technologies and applications of UDNs with this authoritative survey. Theory is explained in a clear, step-by-step manner, and recent advances and open research challenges in UDN physical layer design, resource allocation and network management are described, with examples, in the context of B5G and 6G ...
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Understand the theoretical principles, key technologies and applications of UDNs with this authoritative survey. Theory is explained in a clear, step-by-step manner, and recent advances and open research challenges in UDN physical layer design, resource allocation and network management are described, with examples, in the context of B5G and 6G ...
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2017
This chapter explores the progression of exploiting the capacity gains offered by small cells through the use of very small cells in indoor scenarios, and proposes the concept of an attocell, which is characterized by a very low‐power base station (BS) that aims at providing high capacity and tailored coverage to individual indoor UEs.
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This chapter explores the progression of exploiting the capacity gains offered by small cells through the use of very small cells in indoor scenarios, and proposes the concept of an attocell, which is characterized by a very low‐power base station (BS) that aims at providing high capacity and tailored coverage to individual indoor UEs.
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Network synchronization for dense small cell networks
IEEE Wireless Communications, 2015Although the development of the next generation (i.e., 5G) of wireless networks is in its initial phase, it is widely agreed that some key technologies will play a vital role in the realization of 5G, such as millimeter waves, massive MIMO, small cells, and new radio air interfaces.
Kingsley Jun Zou, Kristo Wenjie Yang
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Dense Bynet: Residual Dense Network for Image Super Resolution
2018 25th IEEE International Conference on Image Processing (ICIP), 2018This paper proposes a method, Dense ByNet, for single image super-resolution based on a convolutional neural network (CNN). The main innovation is a new architecture that combines several CNN design choices. Using a residual network as a basis, it introduces dense connections inside residual blocks, significantly reducing the number of parameters ...
Jiu Xu +3 more
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Mobility management for dense networks
34th IEEE Sarnoff Symposium, 2011This paper considers a Wireless Local Area Network consisting of Access Points that can provide only a limited cone of coverage. A dense access point deployment is required for such a network to provide coverage over a substantial area. Such a deployment introduces challenges associated with support of terminal mobility, backhaul management load and ...
Alex Reznik +4 more
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Decision fusion: Sparse network vs. dense network
2016 24th Iranian Conference on Electrical Engineering (ICEE), 2016Wireless sensor networks have found many applications because of their facility for remote information monitoring and processing. One of the main applications of sensor networks is detection of an event occurrence. In these applications, a fusion center decides about an event occurrence based on the data of sensors.
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