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A novel routing method for dynamic control in distributed computing power networks

Digital Communications and Networks 2024年第6期10卷 1644-1652页

作者： Lujie Guo Fengxian Guo Mugen Peng The State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China

Driven by diverse intelligent applications,computing capability is moving from the central cloud to the edge of the network in the form of small cloud nodes,forming a distributed computing power *** with both packet transmission and data processing,it requires joint optimization of communications and *** the diverse requirements of applications,we develop a dynamic control policy of routing to determine both paths and computing nodes in a distributed computing power *** from traditional routing protocols,additional metrics related to computing are taken into consideration in the proposed *** on the multi-attribute decision theory and the fuzzy logic theory,we propose two routing selection algorithms,the Fuzzy Logic-Based Routing(FLBR)algorithm and the low-complexity Pairwise Multi-Attribute Decision-Making(l PMADM)*** results show that the proposed policy could achieve better performance in average processing delay,user satisfaction,and load balancing compared with existing works.

关键词： Computing power networks Routing Fuzzy logic Multi-attribute decision making

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The Lightweight Edge-Side Fault Diagnosis Approach Based on Spiking Neural Network

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Computers, Materials & Continua 2024年第6期79卷 4883-4904页

作者： Jingting Mei Yang Yang Zhipeng Gao Lanlan Rui Yijing Lin State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing100876China

Network fault diagnosis methods play a vital role in maintaining network service quality and enhancing user experience as an integral component of intelligent network *** the unique characteristics of edge networks,such as limited resources,complex network faults,and the need for high real-time performance,enhancing and optimizing existing network fault diagnosis methods is ***,this paper proposes the lightweight edge-side fault diagnosis approach based on a spiking neural network(LSNN).Firstly,we use the Izhikevich neurons model to replace the Leaky Integrate and Fire(LIF)neurons model in the LSNN *** neurons inherit the simplicity of LIF neurons but also possess richer behavioral characteristics and flexibility to handle diverse data *** by Fast Spiking Interneurons(FSIs)with a high-frequency firing pattern,we use the parameters of ***,inspired by the connection mode based on spiking dynamics in the basal ganglia(BG)area of the brain,we propose the pruning approach based on the FSIs of the BG in LSNN to improve computational efficiency and reduce the demand for computing resources and energy ***,we propose a multiple iterative Dynamic Spike Timing Dependent Plasticity(DSTDP)algorithm to enhance the accuracy of the LSNN *** on two server fault datasets demonstrate significant precision,recall,and F1 improvements across three diagnosis ***,lightweight indicators such as Params and FLOPs significantly reduced,showcasing the LSNN’s advanced performance and model *** conclude,experiment results on a pair of datasets indicate that the LSNN model surpasses traditional models and achieves cutting-edge outcomes in network fault diagnosis tasks.

关键词： Network fault diagnosis edge networks Izhikevich neurons pruning dynamic spike timing dependent plasticity learning

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BUPTCMCC-6G-CMG+: a GBSM-based ISAC standard channel model generator

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Science China(Information Sciences) 2025年第5期68卷 235-249页

作者： Changsheng ZHAO Jianhua ZHANG Yuxiang ZHANG Lei TIAN Heng WANG Hanyuan JIANG Yameng LIU Wenjun CHEN Tao JIANG Guangyi LIU State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Future Research Laboratory China Mobile Research Institute

Integrated sensing and communication(ISAC) has been recognized as the key technology in the vision of the sixth generation(6G) era. With the emergence of new concepts in mobile communications, the channel model is the prerequisite for system design and performance evaluation. Currently, the 3rd generation partnership project(3GPP) Release 19 is advancing the standardization of ISAC channel models. Nevertheless, a unified modeling framework has yet to be established. This paper provides a simulation diagram of ISAC channel modeling extended based on the geometry-based stochastic model(GBSM),compatible with existing 5G channel models and the latest progress in the 3GPP Rel-19 standardization. We first introduce the progress of the ISAC channel model standardization in general. Then, a concatenated channel modeling method is presented considering the team's standardization proposals, which are implemented on the BUPTCMCC-6G-CMG+ channel model generator. We validated the model in cumulative probability density function in statistical extension of angle and delay, and radar cross section(RCS). Simulation results show that the proposed model can realistically characterize the feature of channel concatenation and RCS within the ISAC channel.

关键词： channel model generator channel concatenation ISAC channel radar cross section (RCS) 3GPP standardization

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Latest progress for 3GPP ISAC channel modeling standardization

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Science China(Information Sciences) 2024年第11期67卷 357-358页

作者： Yuxiang ZHANG Jianhua ZHANG Yuanpeng PEI Yameng LIU Tao JIANG State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Future Research Laboratory China Mobile Research Institute

Integrated sensing and communication(ISAC) is regarded as a promising technology for sixth-generation(6G) *** channel modeling is essential for designing and evaluating the performance of ISAC systems. In December 2023, the 3rd Generation Partnership Project(3GPP)established a new industry specification group dedicated to ISAC. The group's objective is to research ISAC channel modeling, laying the technical foundations for 6G standardization. Compared to the traditional 5G communication channel, 6G ISAC channel requires accurate modeling of new properties.

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Software defined intelligent satellite-terrestrial integrated networks:Insights and challenges

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Digital Communications and Networks 2023年第6期9卷 1331-1339页

作者： Shuo Yuan Mugen Peng Yaohua Sun Xiqing Liu The State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing100876China

Satellite-Terrestrial integrated Networks(STNs)have been advocated by both academia and industry as a promising network paradigm to achieve service continuity and ***,STNs suffer from problems including poor flexibility of network architecture,low adaptability to dynamic environments,the lack of network intelligence,and low resource *** handle these challenges,a Software defined Intelligent STN(SISTN)architecture is ***,the hierarchical architecture of the proposal is described and a distributed deployment scheme for SISTNs controllers is proposed to realize agile and effective network management and ***,three use cases in SISTNs are ***,key techniques and their corresponding solutions are presented,followed by the identification of several open issues in SISTNs including compatibility with existing networks,the tradeoff between network flexibility and performance,and so on.

关键词： Satellite-terrestrial network Software-defined network Artificial intelligence Reconfigurable networking

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A Hybrid Small-Cell and Clustered Cell-Free Massive MIMO System under Mobility Scenarios

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China Communications 2024年第12期21卷 49-65页

作者： Lu Guangyan Li Lihua Tian Hui State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China

Recently,cell-free(CF)massive multipleinput multiple-output(MIMO)becomes a promising architecture for the next generation wireless communication system,where a large number of distributed access points(APs)are deployed to simultaneously serve multiple user equipments(UEs)for improved ***,a clustered CF system is considered to tackle the backhaul overhead issue in the huge connection *** this paper,taking into account the more realistic mobility scenarios,we propose a hybrid small-cell(SC)and clustered CF massive MIMO system through classifications of the UEs and APs,and constructing the corresponding pairs to run in SC or CF mode.A joint initial AP selection of this paradigm for all the UEs is firstly proposed,which is based on the statistics of estimated ***,closed-form expressions of the downlink achievable rates for both the static and moving UEs are provided under Ricean fading channel and Doppler shift *** also develop a semi-heuristic search algorithm to deal with the AP selection for the moving UEs by maximizing the weight average achievable *** results demonstrate the performance gains and effective rates balancing of the proposed system.

关键词： access point(AP)selection clustered cell-free Doppler shift effect massive multiple-input multiple-output(MIMO) small-cell

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An Incentive Mechanism Model for Crowdsensing with Distributed Storage in Smart Cities

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Computers, Materials & Continua 2023年第8期76卷 2355-2384页

作者： Jiaxing Wang Lanlan Rui Yang Yang Zhipeng Gao Xuesong Qiu State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijingChina

Crowdsensing,as a data collection method that uses the mobile sensing ability of many users to help the public collect and extract useful information,has received extensive attention in data *** crowdsensing relies on user equipment to consume resources to obtain information,and the quality and distribution of user equipment are uneven,crowdsensing has problems such as low participation enthusiasm of participants and low quality of collected data,which affects the widespread use of *** paper proposes to apply the blockchain to crowdsensing and solve the above challenges by utilizing the characteristics of the blockchain,such as immutability and *** architecture for constructing a crowdsensing incentive mechanism under distributed incentives is proposed.A multi-attribute auction algorithm and a k-nearest neighbor-based sensing data quality determination algorithm are proposed to support the *** users upload data,determine data quality according to the algorithm,update user reputation,and realize the selection of perceived *** process of screening data and updating reputation value is realized by smart contracts,which ensures that the information cannot be tampered with,thereby encouraging more users to *** of the simulation show that using two algorithms can well reflect data quality and screen out malicious *** the help of blockchain performance,the architecture and algorithm can achieve decentralized storage and tamper-proof information,which helps to motivate more users to participate in perception tasks and improve data quality.

关键词： Crowdsensing incentive mechanism blockchain smart contract

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RIS-Enabled Multi-Target Sensing: Performance Analysis and Space-Time Beamforming Design

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IEEE Transactions on Wireless Communications 2024年第10期23卷 13889-13903页

作者： Wang, Zhen Hu, Xiaoling Liu, Chenxi Peng, Mugen Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing100876 China

Recently, reconfigurable intelligent surface (RIS) has gained growing research interests in sensing fields. While extensive efforts have been devoted to designing RIS space beamforming for improving sensing accuracy, the potential of RIS in improving sensing resolution has so far not been fully dug. In this paper, we investigate the fundamental performance of RIS-enabled multi-target sensing, and exploit the potential of RIS in simultaneously boosting resolution and accuracy. Specifically, based on the identification that sensing is to obtain target state information from the received echo signals, we adopt the sensing mutual information as the performance metric, thus enabling comprehensive evaluation of both sensing resolution and accuracy. Then, we derive the analytical expression of the sensing mutual information in our considered systems, revealing that in addition to providing beamforming gains to enhance sensing accuracy in the space domain, RIS can also flexibly vary its beamforming in the time domain to improve sensing resolution. Based on this result, we propose a novel space-time beamforming, in which space-domain and time-domain beamforming gains are utilized for enhancing sensing accuracy and resolution, respectively. Numerical results demonstrate the significant advantages of the proposed space-time beamforming scheme over the traditional space-only beamforming scheme in terms of sensing resolution. © 2024 IEEE.

关键词： Signal to noise ratio

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Knowledge-enhanced semantic communication system with OFDM transmissions

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Science China(Information Sciences) 2023年第7期66卷 266-282页

作者： Xiaodong XU Huachao XIONG Yining WANG Yue CHE Shujun HAN Bizhu WANG Ping ZHANG State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Department of Broadband Communication Peng Cheng Laboratory

As a promising technology to enable effective multi-modal transmission over wireless channels,semantic communication has attracted a lot of attention from academics and industries. Different from Shannon's information theory, based on common background knowledge provided by the knowledge base, the goal of semantic communication is transmitting intended useful information from the transmitter and recovered by the receiver at the semantic level. However, the existing studies on semantic communication rarely emphasize the essence and the usage of the knowledge base. In this paper, we propose a knowledge-enhanced semantic communication(KESC) system, where the knowledge base is cloud-edge-device collaborative cached. To solve the problem that float-type symbols are difficult to transmit directly through a radio frequency(RF)system, we adopt orthogonal frequency division multiplexing(OFDM) to transmit semantic vectors directly without some traditional signal processing techniques in semantic information transmission, and the semantic pilot is designed to assist semantic reception. Furthermore, we formulate a multi-encoder transformer based neural network model for the KESC system to support text transmission(KESC-T), where the decoder is implemented with a knowledge graph to enhance the performance of semantic decoding. Besides, we define knowledge-enhanced efficiency(KEE) to measure the gain in semantic recovery accuracy brought by per unit of knowledge. Simulation results demonstrate that the recovery accuracy of our proposed KESC outperforms the compared scheme, especially in low signal-to-noise ratio(SNR) or resource-constrained scenarios.

关键词： semantic communication knowledge graph OFDM transformer deep learning

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MADRL-Based 3D Deployment and User Association of Cooperative mm Wave Aerial Base Stations for Capacity Enhancement

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Chinese Journal of Electronics 2023年第2期32卷 283-294页

作者： ZHAO Yikun ZHOU Fanqin FENG Lei LI Wenjing YU Peng State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications

Although millimeter-wave aerial base station(m Ae BS) gains rich wireless capacity, it is technically difficult for deploying several m Ae BSs to solve the surge of data traffic in hotspots when considering the amount of interference from neighboring m Ae BS. This paper introduces coordinated multiple points transmission(Co MP) into the m Ae BS-assisted network for capacity enhancement and designs a two-timescale approach for three-dimensional(3D) deployment and user association of cooperative m Ae BSs. Specially, an affinity propagation clustering based m Ae BS-user cooperative association scheme is conducted on a large timescale followed by modeling the capacity evaluation, and a deployment algorithm based on multi-agent(MA) deep deterministic policy gradient(MADDPG) is designed on the small timescale to obtain the 3D position of m Ae BS in a distributed manner. Simulation results show that the proposed approach has significant throughput gains over conventional schemes without Co MP, and the MADDPG is more efficient than centralized deep reinforcement learning(DRL) algorithms in deriving the solution.

关键词： Deep learning Wireless communication Base stations Solid modeling Three-dimensional displays Simulation Interference

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