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International Conference on wireless communications and Signal Processing (WCSP)

作者： Xinyu Zhang Xitao He Mingkai Chen Lei Wang Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (数字)9798350390643

ISBN: (纸本)9798350390650

Semantic communication is an emerging intelligent paradigm that provides some special solutions for the various future applications. With the rise of large language model (LLM), it may enhance well on semantic communication. However, how to balance on the accuracy and the efficiency of compression remains an urgent issue to semantic communication with LLMs. In this paper, we design a multimodal large language models (MLLMs)-enabled semantic communication system specifically designed for image transmission, where the reinforcement learning from human-like feedback (RLHLF) framework is proposed to apply reasoning and self-reflection capabilities of MLLMs to enhance the quality of semantic extraction and image generation. For one thing, we first optimize the image semantic information at the transmitter by RLHLF framework. For another thing, the generated images are optimized at the receiver by RLHLF framework. Simulation results show that our proposed system provides bandwidth savings and enables graceful performance improvement as the channel quality improves, which proves the potential of MLLMs for future semantic communication.

关键词： wireless communication Image coding Accuracy Image synthesis Transmitters Large language models Image communication Simulation Reinforcement learning Semantic communication

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Energy-Efficient Resource Allocation for wireless-Powered Backscatter communication networks

Energy-Efficient Resource Allocation for Wireless-Powered Ba...

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International Conference on communication Systems

作者： Bin Lyu Zhen Yang Feng Tian Guan Gui Key Laboratory of Ministry of Education in Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781538678657;9781538678640

In this paper, we investigate energy-efficient resource allocation in a wireless powered backscatter communication network (WPBCN), which consists of two types of wireless devices. To fully exploit the information transmission time, the two devices are supported to operate in different modes, i.e., the harvest-then-transmit (HTT) mode and backscatter communication (BackCom) mode, respectively. To improve the efficiency of wireless power transfer, energy beamforming technique is adopted at the PB. We formulate the system energy efficiency (EE) maximization problem by jointly optimizing the energy beamforming vector, power allocation, and time allocation. Since the formulated problem is non-convex, we employ variable substitutions, fractional programming theory, and semi-definite relaxation (SDR) to transform the non-convex problem into a convex problem. An algorithm is finally proposed to derive the optimal solution. Simulation results show that the proposed resource allocation scheme can improve the system EE.

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Data aggregation scheduling algorithm based on maximum weighted independent set for WSNs

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Journal of Information and Computational Science 2012年第15期9卷 4451-4459页

作者： Xu, Jian Yang, Geng Yang, Zhen Zhang, Zixiong College of Computer Science and Technology Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab. of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing 210003 China

Because sensor nodes are typically resource-constrained, the key challenge in wireless sensor networks (WSNs) design is the energy-efficiency and how to deal with the trade-off between it and the QoS parameters. Data Aggregation is an attractive technique able to cut down the data traffic, thereby reduce energy consumption, and extend the network lifetime. Meanwhile, the QoS performance of data aggregation rests with the aggregation scheduling algorithm. The previously proposed schemes consist of two phases: tree construction and scheduling. However most of them suffer from the following disadvantages: they must rely on some specific aggregation trees, and cannot guarantee the weighted fairness. Based on this defect, in this paper, we proposed an improved scheduling algorithm based on the Max Weighted Independent Set (MWIS). The aggregation scheduling methods presented here produce conflict-free schedules depending on the topology and data weight. The experiments results show that our approach have better performance in any arbitrary tree while the node of network have different priority to be scheduled. © 2012 by Binary Information Press.

关键词： Scheduling algorithms

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P2P traffic identification method based on an improvement incremental SVM learning algorithm

P2P traffic identification method based on an improvement in...

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International Symposium on wireless Personal Multimedia communications (WPMC)

作者： Jing Gong Wenjun Wang Pan Wang Zhixin Sun Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Education (Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781479964123

How to classify the data sets with vast information amount and large distribution fluctuation, which is always the research hotspot. This paper puts forward an improved SVM incremental learning algorithm by comparing the different incremental learning methods of SVM algorithm. In the algorithm, whether to violate the KTT conditions is regarded as an important basis for incremental data set. And the algorithm will be more efficient on the classification of SVM incremental sets through optimizing and improving itself. Then the paper compares the SVM-based re-training algorithm, the standard SVM incremental learning algorithm and the improved SVM incremental learning algorithm through identifying P2P network traffic. The experimental results show that the improved SVM incremental learning algorithm proposed in this article can save storage space and increase the accuracy of the identification of P2P traffic.

关键词： Classification algorithms Support vector machines Algorithm design and analysis Training Standards Accuracy Data models

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International Conference on wireless communications and Signal Processing (WCSP)

作者： Lihua Gao Haitao Ling Xutong Fan Jianxin Chen Qin Yin Lei Wang China Telecom Co Jiangsu Branch. Key Lab of Broadband Wireless Communication and Sensor Network Technology University of Telecommunications Ministry of Education Nanjing Multimedia Service Product Dept. China Telecom Co Jiangsu Branch Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Telecommunications Ministry of Education

ISBN: (纸本)9781509028610

With the popularity of network, P2P-based Video on Demand (VoD) has become one of the main services in Internet. However, due to the huge amount of videos, how to access the video quickly is important since it affects the subscriber's experience. In this paper, a popularity-driven storing model is proposed to fasten the video discovery for a centralized P2P-VoD system. All videos are stored in a binary tree in the server according to their popularities. Experimental results show that this scheme works well in terms of discovery delay and resource utilization.

关键词： Binary trees Servers Delays Peer-to-peer computing Telecommunications Computational modeling wireless communication

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Online energy management for data centers and electric vehicles in smart grid environment

Online energy management for data centers and electric vehic...

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Annual Conference of Industrial Electronics Society

作者： Liang Yu Yulong Zou Kun Wang Key Laboratory of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China

To avoid an additional demand charge incurred by the adoption of electric vehicles (EVs), we study an online cost minimization problem for geo-distributed data centers and EVs of their employees without violating heterogeneous EV charging delays and the given peak power limits in all geographical locations, where the total cost consists of the electricity bill, revenue loss, and the penalty imposed on unfinished EV demands. We first formulate a stochastic programming problem with the considerations of uncertainties in data center workloads, electricity prices, and EV energy demands. Since the future parameters are uncertain, an online algorithm is proposed to solve the formulated problem. Moreover, the performance analysis of the online algorithm is conducted. Simulation results indicate the advantages of the proposed algorithm over other baselines.

关键词： Algorithm design and analysis Delays Minimization Servers Electric vehicles Distributed databases Uncertainty

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Utility Maximization for NFV-Based Tactile Internet

Utility Maximization for NFV-Based Tactile Internet

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IEEE International Conference on communications in China (ICCC)

作者： Xinmian Xu Haie Dou Mingkai Chen Lei Wang Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China

In recent years, there has been significant attention and development in the Tactile Internet (TI) as a new type of network that supports typical applications such as remote healthcare and virtual reality. However, the demand for ultra-low latency and the inflexibility of traditional network architecture have presented serious challenges. In this paper, we propose a utility function for TI based on 5G network function virtualization (NFV) technology to evaluate network performance. The utility function considers the transmission of haptic and video data flows, as well as their latency and cost. We then formulate a network optimization problem with the utility function as the objective, strictly constraining latency and cost. To address this problem, we design two algorithms: the VNF deployment and routing of haptic and video flows (DRHV) algorithm tackles the VNF deployment and path selection issue, while the deep deterministic policy gradient(DDPG)-based traffic scheduling (DTS) algorithm allocates traffic resources and saves costs. Simulation results demonstrate that our algorithms achieve excellent optimization performance under the given constraints, and parameter changes align with the expected relationships and trends.

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Energy-Efficient Resource Allocation in Downlink GFDM-NOMA networks

Energy-Efficient Resource Allocation in Downlink GFDM-NOMA N...

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International Conference on wireless communications and Signal Processing (WCSP)

作者： Yonghai Lin Zhen Yang Haiyan Guo Key Laboratory of Ministry of Education in Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China

In this paper, the authors investigate the downlink radio resource allocation for wireless communications which consist of generalized frequency division multiplexing (GFDM) and non-orthogonal multiple access (NOMA). In our scheme, the whole frequency resource is divided into a lot of sub-carriers which are not always orthogonal and each subcarrier is allocated to multiple users according to NOMA principle. Energy efficiency (EE) is formulated under basic data rate requirements and the maximum transmitting power constraint of base station (BS). Due to the non-convex nature of the problem, we decompose it into two sub-problems: subcarrier allocation and power allocation. Subcarrier allocation is implemented in a greedy manner based on the predefined NOMA pairing principle and power allocation is transformed into a sequence of convex sub-problems by successive convex approximations. Numerical results demonstrate the correctness of our analysis and effectiveness of our algorithm. Additionally, GFDM can be easily integrated with cognitive radio to further enhance the performance of wireless communications.

关键词： NOMA Resource management OFDM wireless communication Interference Frequency division multiplexing Complexity theory

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A tree-based data aggregation scheduling algorithm for wireless sensor networks

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Journal of Computational Information Systems 2012年第13期8卷 5409-5416页

作者： Xu, Jian Yang, Geng Liu, Zhipeng Chen, Yunfang College of Computer Science and Technology Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab. of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing 210003 China

Data aggregation is one of the key technologies for wireless sensor networks applications. Data aggregation can cut down the data traffic, thereby reduce energy consumption, and extend the network lifetime. But the QoS performance of data aggregation rests with the aggregation scheduling algorithm. The scheduling problems have been extensively studied recently, however most of them must rely on some specific aggregation trees and this restricts the applicability of those algorithms dramatically. In this paper, we proposed an improved scheduling algorithm, which is applicable for arbitrary aggregation tree topology. Based on the characteristics of the structure of the tree, we construct the transfer node set of each time slot, and implement the conflict-free data aggregation scheduling. The results of experiments show that our algorithm can reduce the delay of data aggregation process for various aggregation trees. © 2011 by Binary Information Press.

关键词： wireless sensor networks

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Social-aware file-sharing mechanism for device-to-device communications

Social-aware file-sharing mechanism for device-to-device com...

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International Conference on wireless communications and Signal Processing (WCSP)

作者： Lei Wang Lulu Gao Aiqing Zhang Mingkai Chen National Mobile Communications Research Laboratory Southeast University Nanjing China NUPT Key Lab of Broadband Wireless Communication and Sensor Network Technology China

ISBN: (纸本)9781467376884

Device-to-device (D2D) communication technology can significantly improve energy efficiency and offload base station traffic. It has become a new research focus in next generation mobile communications. In this paper, a file-sharing mechanism based on social networks is proposed for the D2D communication system underlaying cellular networks aiming at improving the users' quality of experience (QoE). In the proposed mechanism, all users are divided into several groups according to the documentation requirements. Then the D2D communication links are built within each group by fully considering the social relationships and trust degrees of users. The target files give priority to be shared through the D2D mode. Theoretical analysis and extensive simulation results show clearly that the social relationships can affect the whole wireless networks significantly. Selecting a user with the largest social degree as a central user can greatly reduce the transmission delay, relieve the heavy burden of base stations and then optimize the overall performance of cellular communication systems.

关键词： Base stations Social network services Delays wireless communication Mobile communication Quality of service

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