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International Conference on Computer, communication and Computational Sciences, ICCCCS 2016

作者： Zhao, Xuejian Li, Dongjun Yuan, Yuan Sun, Zhixin Chen, Yong Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China Jiangsu Posts & Telecommunications Planning and Designing Institute Co. LTD Nanjing China Nanjing Longyuan Microelectronic Co. LTD Nanjing China

ISBN: (纸本)9789811037696

Association rule analysis, as one of the significant means of data mining, plays an important role in discovering the implicit knowledge in massive transaction data. Aiming at the inherent defects of the classic Apriori algorithm, this paper proposes IAPS (Improved Apriori with Prejudging and Screening) algorithm. IAPS algorithm adds a prejudging and screening procedure on the basis of the self-join and pruning progress in Apriori algorithm which can reduce and optimize the k-frequent item sets using prior probability. IAPS algorithm simplifies the operation process of mining frequent item sets. Experimental results show that the improved algorithm can effectively reduce the number of scanning databases and reduce the running time of the algorithm. © Springer Nature Singapore Pte Ltd. 2017.

关键词： Association rules

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Server-Aided Verification Proxy Re-signature

Server-Aided Verification Proxy Re-signature

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IEEE International Conference on Trust, Security and Privacy in Computing and communications (TrustCom)

作者： Zhiwei Wang Wei Lv Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing Jiangsu Province P.R. China

Proxy re-signature is proposed by Blaze, Blemmer and Strauss (BBS), in which a semi-trusted proxy acts as a translator converts a signature from Alice into a signature from Bob on the same message. Proxy re-signature is a very useful tool for the interoperable DRM architecture and the proof of passed path in cloud computing. However, cloud users usually are mobile devices which are constrained with processing and power limitations. When a mobile user obtain the converted signature from the proxy (cloud server), it still can not verify it due to the heavy computation cost. We propose a new definition of server-aided verification proxy re-signature which consist of a proxy re-signature scheme and a server-aided verification protocol. With the server-aided verification protocol, some computational tasks for a proxy re-signature verification are carried out by the proxy (cloud server), which is generally untrusted, therefore, it is very useful for mobile devices. We present, on the basis of Ateniese and Hohenberger's unidirectional proxy re-signature scheme, two novel existential unforgeability server-aided verification proxy re-signature schemes.

关键词： Servers Protocols Cloud computing Mobile communication Public key

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Influence of oceanic turbulence on propagation of Airy vortex beam carrying orbital angular momentum

arXiv

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arXiv 2018年

作者： Wang, Xinguang Yang, Zhen Zhao, Shengmei Nanjing210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education NUPT Nanjing210003 China

With Rytov approximation theory, we derive the analytic expression of de- tection probability of Airy vortex beam carrying orbital angular momentum (OAM) through an anisotropic weak oceanic turbulence. We investigate the influences of turbulence parameters and beam parameters on the propagation properties of Airy-OAM beam. The numerical simulation results show that the anisotropic oceanic turbulence with a lower dissipation rate of temperature vari- ance, smaller ratio of temperature and salinity contributions to the refractive index spectrum, higher dissipation rate of kinetic energy per unit mass of fluid, bigger inner scale factor, larger anisotropic coefficient causes the larger detection probability of Airy-OAM beam. Moreover, the Airy-OAM beam with a smaller topological charge, larger main ring radius and longer wavelength, has strong resistance to oceanic turbulent interference. Additionally, the detection proba- bility decreases with the increase of receiving aperture size. In comparison with Laguerre-Gaussian-OAM beam, Airy-OAM beam has more anti-interference to turbulence when its topological charge is larger than 5 due to its non-diffraction and self-healing characteristics. The results are useful for underwater optical communication link using Airy-OAM beam. Copyright © 2018, The Authors. All rights reserved.

关键词： Anisotropy

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Deep Learning Empowered Real-Time Haptic communications for IoT

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IEEE Transactions on Consumer Electronics 2024年

作者： Zhang, Xuguang Chen, Mingkai Nanjing University of Posts and Telecommunications School of Communications and Information Engineering Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing210003 China

The advancement of the Internet of Things (IoT) has enabled a variety of innovative consumer electronics applications. In particular, multi-modal applications integrating audio, video, and haptic interactions have emerged, offering users more immersive experiences and enhanced remote interaction capabilities. However, the distributed and fragmented nature of IoT network resources presents significant challenges for ensuring haptic communications under strict constraints. To address these challenges, this paper proposes a joint coding and network resource scheduling solution for haptic communications in IoT environments. First, we design a scalab.e and flexible haptic coding scheme that supports efficient and seamless haptic streaming across heterogeneous IoT networks. Second, we introduce a deep learning-based imperceptible Quality of Experience (QoE) recognition method, which uses emotional immersion as an evaluation metric to achieve unobtrusive QoE monitoring. Finally, based on user QoE feedback, we develop an on-demand cooperative network resource scheduling strategy to ensure high QoE, reduce network resource wastage, and optimize the utilization of fragmented IoT resources. Simulation results validate the effectiveness of the proposed architecture and strategies. © 1975-2011 IEEE.

关键词： network coding

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The Proof is in the Pudding: Decision-Oriented Machine-Type wireless Video Transmission

The Proof is in the Pudding: Decision-Oriented Machine-Type ...

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2024 IEEE Global communications Conference, GLOBECOM 2024

作者： Song, Jie Gao, Yun Wu, Dan Zhou, Liang Qian, Yi Nanjing University of Posts and Telecommunications Ministry of Education Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing China Army Engineering University of Pla Institute of Communications Engineering Nanjing China University of Nebraska-Lincoln Department of Electrical and Computer Engineering Lincoln United States

ISBN: (纸本)9798350351255

With the rise of the Internet of Everything, machine-type wireless video applications like intelligent surveillance are increasingly becoming mainstream network services. However, the massive transmission of video streams heavily burdens wireless networks. Existing methods typically establish a correlation between the transmitted content and the quality of experience or service, making it challenging to balance trade-offs among decision quality, bandwidth utilization, and latency requirements. To address this issue fundamentally, this paper proposes a novel perspective by designing wireless video transmission strategies from the angle of decision quality, where only the content that impacts the decision outcomes is transmitted. The highlight of this paper is designing a lightweight yet efficient binary classifier that predicts whether the current content will change decision outcomes based on content discrepancies, measured only through pixel-level differences and macroblock-level similarity. Furthermore, these discrepancies can be used to distinguish the background, thereby further saving bandwidth by reusing the background information. Additionally, a fine-tuning module is incorporated to flexibly update the classifier model, ensuring adaptability across various scenarios. Extensive results demonstrate that the proposed strategy achieves over 81% redundant bandwidth savings while maintaining decision quality and catering to strict latency requirements on computation-constrained devices. © 2024 IEEE.

关键词： Television transmission

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Service Migration Algorithm Based on Markov Decision Process with Multiple QoS Attributes

Research Square

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Research Square 2021年

作者： Ma, Anhua Pan, Su Tao, Shuai Zhou, Weiwei Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing210003 China

With the rapid development of mobile internet cloud computing, the traditional network structure becomes non-suitable for advanced network traffic requirements. A service migration decision algorithm is proposed in the Software Defined network(SDN) to satisfy differential Quality of Service(QoS) requirements. We divide services into real-time ones and non-real-time ones due to their different requirements on time delay and transmission rates, and construct the revenue function on two QoS attributes i.e. time delay and availab.e transmission rates. We use the Markov decision process to maximize the overall benefits of users and network system to achieve the best user experience. The simulation results show that our proposed algorithm achieves better performance in terms of overall benefits than the exiting algorithms only considering single service and single QoS attribute. © 2021, CC BY.

关键词： Quality of service

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Interference suppression algorithms for D2D communication underlaying cellular networks

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Journal of Computational Information Systems 2015年第18期11卷 6705-6717页

作者： Huan, Cheng Liu, Chen Fu, Youhua The Key Lab. of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China National Mobile Communications Research Laboratory Southeast University Nanjing China

In this paper, we investigate the interference scenario where Device-to-Device (D2D) users and the cellular user share the same spectrum resource, and propose two novel interference suppression algorithms for D2D communication. One of the two proposed algorithms is the step-by-step interference suppression algorithm called SISA, and the other one is the joint interference suppression algorithm called JISA. The SISA mainly deals with the cellular interference to the D2D receiver, while the JISA copes with not only the cellular interference but also the noise at the D2D receiver. Both algorithms are designed from the perspective of precoding and decoding. Based on this, we first formulate the interference suppression problem for D2D communication as an optimization problem to maximize the signal-to- interference- plus-noise ratio (SINR) of the D2D receiver, and regard the precoding vector of the D2D transmitter and the decoding vector of the D2D receiver as the optimized variables. Second, we in turn propose the SISA and JISA to solve the optimization problem. Finally, we derive out respective closed-form expressions for optimize variables according to the SISA and JISA. Numerical results show that the two proposed algorithms both enable D2D to achieve significant performance gains over that using the existing schemes in terms of SINR and bit-error rate (BER). © 2015 by Binary Information Press.

关键词： Bit error rate

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Decentralized Waveform Design for MIMO Cognitive Radio under Interference Temperature Constraint

Decentralized Waveform Design for MIMO Cognitive Radio under...

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International Conference on networking and Distributed Computing (ICNDC)

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

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.

关键词： Interference Pricing Receivers Cognitive radio Nash equilibrium Covariance matrix MIMO

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Mining Frequent Itemsets in Data Streams Based on Genetic Algorithm

Mining Frequent Itemsets in Data Streams Based on Genetic Al...

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2013 15th IEEE International Conference on communication technology

作者： Chong Han Lijuan Sun Jian Guo Xiaodong Chen College of Computer Nanjing University of Posts and Telecommunications Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education of Jiangsu Province

ISBN: (纸本)9781479900763

Stream data is a very common data type in big data and in many data streams applications,users tend to pay more attention to the mode information of the data *** mining frequent patterns in data streams is a significative ***,finding frequent itemests in a data set with predefined fixed support threshold could be seen as an optimization *** this paper,the problem of frequent itemsets mining is derived as a non-linear optimization problem,then genetic algorithm is adopted to solve *** the formal and bitmap representation of frequent itemsets,the non-linear optimization problem is transformed to 0-1 programming.A set of experimental results show that unlike typical Apriori algorithm,the complexity of time and memory space grows exponentially as the support decrease,our proposed algorithm has a high time and space efficiency even with a very low support.

关键词： Big data,data streams,genetic algorithm,frequent itemsets

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Sparse and low-rank matrices recovery from incomplete and noisy measurement

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Journal of Computational Information Systems 2013年第19期9卷 7703-7710页

作者： Yang, Zhenzhen Yang, Zhen College of Communication and Information Engineering Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab. of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing 210003 China

The problem of recovering sparse and low-rank matrices from a given matrix captures many applications. However, this recovery problem is NP-hard and thus not tractable in general. Recently, it has been shown that this NP-hard problem can be well approached via heuristically solving a convex relaxation problem where the ?1-norm and the nuclear norm are used to induce sparse and low-rank structures, respectively. To capture more applications, this paper studies the recovery problem in a more general setting: the matrix is acquired by compressed measurement and the measurement is corrupted by Gaussian noise. The separable structure of the new model enables us to solve the involved subproblems more efficiently by splitting the multipliers function. Hence, an implementable numerical algorithm which called accelerated alternating direction method of multipliers (AADMM) is proposed to solve the novel model. Our experimental results show that AADMM is surprisingly efficient for solving the new recovery model. © 2013 Binary Information Press.

关键词： Recovery

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