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2nd International Conference on networking and Distributed Computing, ICNDC 2011

作者： Wei, Fei Xia, Pengrui Yang, Zhen Tian, Feng Key Lab. of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing Jiangsu Province China

ISBN: (纸本)9780769544274

This paper addresses the information rate maximization problem under interference temperature constraint for a multiple-in multiple-out cognitive radio (MIMO-CR) network in which each CR user is equipped with multiple antennas. We formulate this as a Nash equilibrium problem where each CR tries to maximize its own utility by choosing appropriate wave-form. A decentralized iterative water-filling algorithm (IWFA) with pricing is proposed to solve it;the pricing mechanism is used to satisfy the interference temperature constraint while achieving the Nash equilibrium. Simulation results show that our algorithm can satisfy the interference temperature constraint perfectly and is fast convergent;we also show that the proposed IWFA with pricing can achieve a performance improvement in terms of sum-rate over the existed IWFA with power shaping. © 2011 IEEE.

关键词： Costs

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An improved packet sending algorithm based on LTP in Delay Tolerant networks

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Journal of Computational Information Systems 2014年第12期10卷 5279-5286页

作者： Liu, Yan Wang, Kun Xu, Lili Yu, Yue Ouyang, Zhiyou College of Automation and Electrical Engineering Nanjing University of Technology Nanjing 210009 China Key Lab. of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Nanjing 210003 China

In DTN (Delay Tolerant networks), bundle and block shred data to cope with frequent interruption. However, it remains a problem of what impact will be generated on transmission efficiency by the size of bundle and block as well as how to achieve maximum efficiency by adjusting Bundle and block size in terms of environment. This paper focuses on Bundle and LTP (Licklider Transmission Protocol) in transmission layer of DTN and the impact of block size on transmission efficiency. Then a packet sending algorithm is proposed that dynamically varies its strategy to achieve the best transmission efficiency. Finally, simulation results illustrate the advantages of our proposed scheme. Meanwhile, selecting optimum size of block in proposed algorithm can increase the transmission efficiency. 1553-9105/Copyright © 2014 Binary Information Press.

关键词： Delay tolerant networks

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An improved game-theoretic spectrum sharing in cognitive radio systems

An improved game-theoretic spectrum sharing in cognitive rad...

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International Conference on communications and Mobile Computing

作者： Ma, Liang Zhu, Qi Key Lab. of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9780769543574

In this paper, an improved game-theoretic spectrum sharing algorithm is proposed. Besides considering the available bandwidth, a reliance factor that represents how the primary users would like to lease the free spectrum to secondary users is introduced and the battery capacity of secondary users is taken into account. The simulation results show that the shared spectrum is in direct proportion to the reliance and battery capacity. The existence and uniqueness of Nash equilibrium are proved. © 2011 IEEE.

关键词： Cognitive radio

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A Visualization System of Ship Navigation Environment Based on OSG 4

A Visualization System of Ship Navigation Environment Based ...

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4th IEEE International Conference on Image, Vision and Computing, ICIVC 2019

作者： Zhang, Chengcheng Chen, Jianxin Guo, Wei Nanjing University of Posts and Telecommunications Ministry of Education Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing210003 China

ISBN: (纸本)9781728123257

Maritime safety has become a hot topic over the past few years and ocean supervision is one of the most important parts for the maritime safety administration. Traditional ocean supervision technology usually uses two-dimensional (2D) images information to detect the illegal invasions. However, it is incomplete to represent the complex navigation environment for ships. Fortunately, with the development of virtual reality technology and deep learning, we are able to build a visualization system to establish the virtual 3D ocean scene for ship navigation with obtained information such as image and video in real time. In this paper, we design and implement such a visualization platform, which enables us to establish the 3D scene originated from images in real time, with the use of OSG, 3D modeling and deep learning network. © 2019 IEEE.

关键词： Virtual reality

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Face Recognition Based on Two-stage CNN Combined with Transfer Learning 4

Face Recognition Based on Two-stage CNN Combined with Transf...

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4th IEEE International Conference on Image, Vision and Computing, ICIVC 2019

作者： Zhou, Anqi Chen, Jianxin DIng, Jie Pan, Zhaolai Nanjing University of Posts and Telecommunications Ministry of Education Nanjing Key Lab of Broadband Wireless Communication and Sensor Network Technology 210003 China

ISBN: (纸本)9781728123257

In recent years, pattern recognition has received wide attention, especially face recognition. Research shows that traditional methods have limits in face recognition under unrestricted environment because of illumination, facial expression, pose and so on. Deep learning is chosen to solve these problems. In this paper, we propose a complete method for face recognition under unrestricted environment by deep learning. First, we design a novel two-stage convolutional neural network for face detection and alignment. The first stage of the network aims at searching face windows and their bounding box regression vector. The second stage merges facial candidates which are covered highly. Then, the network finishes the task of face detection and alignment whose outputs are face regions and the position of the five facial landmarks. It achieves great performance on angle of faces in image and obtains accuracy of 96.1% on AFW and 98.9% on FDDB. Then faces are sent to convolutional neural network for transfer learning because of limited training samples. On the testing dataset, the accuracy of face recognition reaches to 95.3%, comparing with 89.1% of the original network. What' more, our method is better than the traditional algorithms and general CNN. © 2019 IEEE.

关键词： Face recognition

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QoE optimization for traffic offloading from LTE to WiFi 8

QoE optimization for traffic offloading from LTE to WiFi

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8th IEEE Global Conference on Consumer Electronics, GCCE 2019

作者： Tian, Feng Yu, Yue Li, Dapeng Cui, Jingwu Dong, Yue Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Nanjing210003 China

ISBN: (纸本)9781728135755

In this paper, a novel QoE (Quality of Experience) optimization mechanism is proposed for the coexistence between LTE and WiFi networks, where traffic offloading is enabled from LTE to WiFi. Firstly, the throughput models of LTE and WiFi are analyzed, respectively. And then the users' satisfaction function is introduced to measure QoE. An optimal problem that maximizing the QoE of LTE network with guaranteeing the QoE of WiFi network, is formulated and solved by transformation and simplification. Simulation results indicate that traffic offloading can greatly improve the QoE of LTE network. © 2019 IEEE.

关键词： Quality of service

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FoVs correlation model for wireless multimedia sensor networks based on three-dimensional perception

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Advances in Information Sciences and Service Sciences 2012年第3期4卷 27-34页

作者： Han, Chong Sun, Lijuan Xiao, Fu Guo, Jian Wang, Ruchuan College of Computer Nanjing University of Posts and Telecommunications Nanjing 210003 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing 210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Jiangsu Province Nanjing 210003 China

wireless multimedia sensor networks have become the focus of research in a wide variety of areas in recent years. The camera sensor nodes observe the phenomenon at different locations in the field, and the spatially proximal cameras could have highly overlapped field of views (FoVs). Based on the three-dimensional sensing model of camera sensor node, a FoVs correlation model was proposed in this paper. Then, a grid-based and a relative position-based approach were respectively designed to calculate the correlation coefficient between two cameras. Simulation results and algorithm complexity analysis demonstrate that the relative position-based method has highly efficiency and nearly reduces two orders of magnitude of time complexity to the former.

关键词： sensor nodes

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An efficient coverage control algorithm for three-dimensional underwater sensor networks

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Advances in Information Sciences and Service Sciences 2012年第10期4卷 393-399页

作者： Xiao, Fu Yang, Yang Sun, Li Wang, Ruchuan Nanjing University of Posts and Telecommunications Nanjing 210003 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou 215006 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing 210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing 210003 China

Strategy of sensor nodes deployment is directly related to the cost and performance for underwater wireless sensor networks, which is largely determined the various service-quality improvement of wireless sensor networks. In order to improve the coverage of the target area, this paper presents a distributed algorithm of coverage control. Assume that nodes initially deployed on the surface of the water and can only move in vertical direction in 3-D space, the algorithm is first to control the nodes in-depth and relocate the nodes at different depths, then the nodes continue to adjust their depths until there is no augment for improving their coverage, and to achieve efficient coverage of the three-dimensional sensor networks ultimately. Experimental results show that compared with traditional random deployment method, the proposed coverage control algorithm can improve coverage of network effectively.

关键词： Quality control

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Cloud-Edge Collaboration via Preference-based Reinforcement Learning in Semantic communications 11

Cloud-Edge Collaboration via Preference-based Reinforcement ...

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11th International Conference on Advanced Cloud and Big Data, CBD 2023

作者： Xu, Yikai Chen, Mingkai Zhang, Zhe Nanjing University of Posts and Telecommunications Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing210003 China

ISBN: (纸本)9798350345346

With the development of next-generation mobile communication, semantic communication is considered as a novel technology that focuses on conveying the meaning of a message to the intended users. The key of semantic communication is that the receiver and sender should have the similar background knowledge, hence the semantic knowledge base is the corner-stone of semantic communication. However, how to select an appropriate content as the background knowledge from huge amount of knowledge base data is a challenge in realizing a semantic communication system. Caching partial semantic knowledge bases at edge servers in advance is a promising approach to overcome the above issue. In this paper, we propose a novel semantic knowledge base deployment architecture, in which the specific content of the semantic knowledge base cached at the edge server is determined by the user's personal preferences, fact relevance, and the sender-receiver matching degree. The semantic knowledge base deployment architecture is affected by conditions such as latency and storage capacity of the edge server. Based on preference-based reinforcement learning (PbRL), we propose a policy ranking algorithm to drive the replacement of the categorical cache for semantic knowledge bases to maximize the hit ratio and the sender-receiver matching degree under the constraints of latency and caching capacity. Simulation results show that our algorithm can obtain higher knowledge base hit ratio and matching degree. © 2023 IEEE.

关键词： Reinforcement learning

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Spectrum sensing for cognitive OFDM system using free probability theory

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Journal of Information and Computational Science 2011年第10期8卷 1847-1859页

作者： Wang, Lei Zheng, Baoyu Cui, Jingwu Meng, Qingmin Institute of Signal Processing and Transmission Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab. of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education China

Free probability theory as a main branch of random matrix theory is a valuable tool for describing the asymptotic behavior of multiple systems, especially for those with large random matrices. In this paper, by using free probability theory, a new spectrum sensing scheme for cognitive OFDM system is proposed, which shows how asymptotic free behavior of random matrices and the property of Wishart distribution can be used to assist spectrum sensing for cognitive radios in such scenario. Simulation results show that the proposed scheme has a better detection performance than the energy detection technique and the maximum-minimum eigenvalue scheme even for the case of a small sample of observations. © 2011 by Binary Information Press.

关键词： Cognitive radio

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