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2012 IEEE 11th International Conference on Signal Processing(ICSP 2012)

作者： Qikun Zhao Lina Qi Zongliang Gan Hongbo Zhu Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNanjing University of Posts and Telecommunications

ISBN: (纸本)9781467321969

This paper combines adaptive sub-carriers allocation, power allocation in OFDMA with the transmission of the H.264 SVC (Scalable Video Coding) encoded video sequences in order to support more user and provide better quality of service (Qos) to the subscribers. Firstly we compute the maximum number of users the system can support by our proposed CAC (call admission control), and then our proposed adaptive resource allocation algorithm is utilized to allocate resource to these users On the premise of meeting the most basic requirements of all the users, our proposed scheme can select appropriate resolution adaptively for users according to the channel information. Experimental results demonstrate that our scheme performs better than systems with a fixed resource allocation strategy.

关键词： OFMDA H.264 Adaptive Resource Allocation

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Optimal Price Strategy Selection for MVNOs in Spectrum Sharing: An Evolutionary Game Approach

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KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS 2012年第12期6卷 3133-3151页

作者： Zhao, Shasha Zhu, Qi Zhu, Hongbo Nanjing Univ Posts & Telecommun Minist Educ Key Lab Wideband Wireless Commun & Sensor Network Key Lab Wireless Commun Jiangsu Prov Nanjing 210003 Peoples R China

The optimal price strategy selection of two bounded rational cognitive mobile virtual network operators (MVNOs) in a duopoly spectrum sharing market is investigated. The bounded rational operators dynamically compete to sell the leased spectrum to secondary users in order to maximize their profits. Meanwhile, the secondary users' heterogeneous preferences to rate and price are taken into consideration. The evolutionary game theory (EGT) is employed to model the dynamic price strategy selection of the MVNOs taking into account the response of the secondary users. The behavior dynamics and the evolutionary stable strategy (ESS) of the operators are derived via replicated dynamics. Furthermore, a reward and punishment mechanism is developed to optimize the performance of the operators. Numerical results show that the proposed evolutionary algorithm is convergent to the ESS, and the incentive mechanism increases the profits of the operators. It may provide some insight about the optimal price strategy selection for MVNOs in the next generation cognitive wireless networks.

关键词： evolutionary game theory cognitive radio mobile virtual network operator evolutionary stable strategy replicator dynamics reward and punishment

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An Energy-Aware Routing Protocol for Mobile Ad Hoc networks Based on Route Energy Comprehensive Index

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wireless PERSONAL communicationS 2014年第2期79卷 1557-1570页

作者： Gu, Chao Zhu, Qi Nanjing Univ Posts & Telecommun Jiangsu Key Lab Wireless Commun Key Lab Wideband Wireless Commun & Sensor Network Minist Educ Nanjing 210003 Jiangsu Peoples R China

The design of energy-aware routing protocols has always been an important issue for mobile ad hoc networks (MANETs), because reducing the network energy consumption and increasing the network lifetime are the two main objectives for MANETs. Hence, this paper proposes an energy-aware routing protocol that simultaneously meets above two objectives. It first presents Route Energy Comprehensive Index (RECI) as the new routing metric, then chooses the path with both minimum hops and maximum RECI value as the route in route discovery phase, and finally takes some measures to protect the source nodes and the sink nodes from being overused when their energies are low so as to prolong the life of the corresponding data flow. Simulation results show that the proposed protocol can significantly reduce the energy consumption and extend the network lifetime while improve the average end-to-end delay compared with other protocols.

关键词： Ad hoc networks Energy routing Routing metric Route discovery Route maintenance

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An area constrained MAP localization with channel parameters estimation for indoor rss positioning

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Journal of Computational Information Systems 2015年第17期11卷 6335-6344页

作者： Cai, Zhengguo Shang, Lin Yang, Xuguang Wang, Yingguan Key Laboratory of Wireless Sensor Network and Communication Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai China

Indoor localization is a significant issue for Internet of Things. However, it is a problem for the indoor positioning to use received signal strength measurements that the signal may be contaminated by the time-variant fading interference due to walls and pedestrians. This paper proposes a novel localization scheme for the mixed line-of-sight and none-line-of-sight environment. It presents a feasible method based on Expectation Maximization to approximate the noise distribution with a mixture of two Gaussians. The MAP estimator takes the indoor architecture into account, regarding it as a constraint to the prior distribution of estimated positions. A multiple links hypothesis is introduced to adapt to the link altering. The experiment demonstrates its better performance of precision and feasibility. © 2015, by Binary Information Press

关键词： Indoor positioning systems

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Throughput Analysis and Optimization Based on Mobility Analysis and Markov Process for Heterogeneous wireless networks

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wireless PERSONAL communicationS 2014年第2期77卷 1091-1116页

作者： Shi, Zheng Zhu, Qi Nanjing Univ Posts & Telecommun Jiangsu Key Lab Wireless Commun Key Lab Wideband Wireless Commun & Sensor Network Minist Educ Nanjing 210003 Jiangsu Peoples R China

One of the hot issues in heterogeneous wireless networks (HWNs) is radio resource utilization. The objective of this paper is to solve this problem. By considering the diversity of radio access technologies (RATs) in HWNs, the differences between them should be studied and exploited, e.g., coverage radius of each network, service arrival rate of each region, data transmission rate. The paper proposes a novel method for HWNs throughput analysis and optimization on the basis of these differences. Users engaging in calls in overlapping regions need to conduct network selection. To enhance the throughput of HWNs, users in these regions should be reasonably allocated to each network. Hence, the users' proportion accessing each network is an important factor in the HWNs utilization. The mean total throughput of HWNs can be formulated by the Markov Model, which is determined by the distribution of service arrival rate and the analysis of handoff rate. Users' mobility, furthermore, is important in network analysis because of its effect upon the handoff rate, which is one of the parameters to decide the throughput of HWNs. The service access proportion should be optimized to maximize the throughput of HWNs. By considering the convexity of the objective function, the subgradient method is employed in the solution of the optimization problem. Meanwhile, quadratic programming is used to reduce the computational complexity. Finally, a throughput optimization algorithm is proposed for HWNs on the basis of the architecture of common radio resource management, which can jointly manage diverse RATs. Then the validity of the proposed algorithm is illustrated through the simulation results, from which the paper simultaneously draw some important conclusions.

关键词： Heterogeneous wireless network Common radio resource management Mobility analysis Markov model Convex optimization Subgradient method Quadratic programming

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Multiple regions matching with spin images for 3D face recognition

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Journal of Information and Computational Science 2014年第13期11卷 4487-4497页

作者： Zhang, Cheng Gu, Yuzhang Hu, Keli Wang, Yingguan Key Laboratory of Wireless Sensor Network and Communication Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai China

This paper presents a novel method for 3D face recognition under expression and occlusion variations. It is based on the combination of the matching results from matching multiple partial regions on the 3D face. Spin image features are used for comparison between faces. Meanwhile, an efficient approach is proposed to detect nose tip and the nose tip determines the location of each candidate region. To fuse the contribution of each region, score-based and rank-based fusion scheme are performed and compared. The proposed method is evaluated on the Bosphorus database and achieves good results. It obtains 96.68% recognition rate in the presence of expression and occlusion variations. Copyright © 2014 Binary Information Press.

关键词： Face recognition

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A novel algorithm for network selection in heterogeneous wireless networks based on Interval Triangular Fuzzy Numbers

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Journal of Computational Information Systems 2015年第15期11卷 5373-5383页

作者： Li, Xuanjie Zhu, Qi Jiangsu Key Lab of Wireless Communications Key Lab on Wideband Wireless Communications and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China

Taking the uncertainty and irregularity of different network parameters into consideration, this paper proposes a novel algorithm for network selection in heterogeneous wireless networks which is based on Interval Triangular Fuzzy Numbers. This algorithms uses a combination of subjective and objective weights to construct an optimization model and finally approach weights the optimal weights for each network parameters. The subjective weights are obtained by Fuzzy Analytic Hierarchy Process (FAHP), while the objective weights are obtained by Entropy Method. Because of the uncertainty of network parameters, we use Interval Triangular Fuzzy Number to process data when constructing the decision matrix. An improved Grey Relational Analysis Method is applied to sort the alternative networks, as well as to find the target one. The simulation results show that the proposed algorithm has a better performance compared to other methods. Copyright © 2015 Binary Information Press.

关键词： Analytic hierarchy process

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Exploring MEC Server Strategy in Blockchain networks: Mining for Mobile Users or for Self

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IEEE Transactions on Mobile Computing 2025年

作者： Ling, Xintong Jiang, Rui Cao, Weihang Chen, Mingkai Wang, Jiaheng Ding, Zhi Gao, Xiqi Nanjing University of Posts and Telecommunications Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing210003 China University of Maryland College Park Department of Electrical and Computer Engineering College ParkMD20742 United States Southeast University National Mobile Communications Research Laboratory Nanjing210096 China Purple Mountain Laboratories Nanjing210023 China Southeast University School of Cyber Science and Engineering Nanjing210096 China University of California Department of Electrical and Computer Engineering DavisCA95616 United States

Blockchain-based decentralized applications (DApps) offer enhanced security and decentralization features;nevertheless, their maintenance demands substantial computational resources and poses challenges for deployment in mobile networks. To address this, a number of studies have explored offloading blockchain mining tasks from mobile users to mobile edge computing (MEC) servers. However, the existing literature overlooks the fact that MEC servers can not only mine for mobile users but also mine for themselves, potentially explaining why MEC mining offloading has not gained broad acceptance within the industry. In this work, we exploit a more practical case and rethink the question of whether MEC servers lease computing power to mobile users by taking into account that MEC servers can mine for themselves. We establish a game model and apply backward induction to analytically characterize Nash equilibria for mining strategies adopted by MEC and mobile users. Our findings suggest that, if MEC can mine for self, MEC would mine for mobile users only under specific conditions where mobile users possess superior information gathering capability (at least better than the MEC server) or the whole blockchain system exhibits significant network value. We further provide a series of simulations to verify our conclusion and illustrate the impact of network parameters on the strategies of both sides. © 2025 IEEE.

关键词： Mobile edge computing

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Interference aware routing for mobile ad hoc networks based on node's sending and receiving capabilities

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The Journal of China Universities of Posts and Telecommunications 2013年第4期20卷 73-79,111页

作者： GU Chao ZHU Qi Jiangsu Key Laboratory of Wireless Communications Nanjing University of Posts and Telecommunications Key Lab on Wideband Wireless Communications and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications

How to efficiently build routes among nodes is increasing important for mobile ad hoc networks （MANETs）. This paper puts forward an interference aware routing protocol called Interference aware cross layer routing protocol （IA-CLR） for MANETs based on the IEEE 802.11 medium access layer （MAC）. By defining the node＇s sending and receiving capabilities, IA-CLR can indicate the interference strength of the link in a real and comprehensive way. Further more, in order to choose the route with minimum bottleneck link interference, a new routing metric is proposed by combining the MAC layer and the network layer for cross layer design. Simulation results show that IA-CLR can significantly improve the performances of network such as the average end-to-end delay, the packets loss ratio and the throughput.

关键词： ad hoc networks routing protocol routing design interference aware

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Tactile-assisted point cloud super-resolution

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Chinese Optics Letters 2025年第5期23卷 051102-051102页

作者： Haoran Shen Puzheng Wang Ming Lu Chi Zhang Jian Li Qin Wang Institute of Quantum Information and Technology Nanjing University of Posts and Telecommunications Nanjing 210003 China Broadband Wireless Communication and Sensor Network Technology Key Lab of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing 210003 China

With the rapid advancement of three-dimensional (3D) scanners and 3D point cloud acquisition technology, the application of 3D point clouds has been increasingly expanding in various fields. However, due to the limitations of 3D sensors, the collected point clouds are often sparse and non-uniform. In this work, we introduce local tactile information into the point cloud super-resolution task to aid in enhancing the resolution of the point cloud using fine-grained local details. Specifically, the local tactile point cloud is denser and more accurate compared to the low-resolution point cloud. By leveraging tactile information, we can obtain better local features. Therefore, we propose a feature extraction module that can efficiently fuse visual information with dense local tactile information. This module leverages the features from both modalities to achieve improved super-resolution results. In addition, we introduce a point cloud super-resolution dataset that includes tactile information. Qualitative and quantitative experiments show that our work performs much better than existing similar works that do not include tactile information, both in terms of handling low-resolution inputs and revealing high-fidelity details.

关键词： Deep learning Point clouds sensor networks Super resolution imaging Superresolution Three dimensional reconstruction

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