IEEE Transactions on Network Science and Engineering最新文献_第3页

FD-RAN Empowered Multiple Base Stations Cooperative ISAC for Low-Altitude Networks FD-RAN授权的低空网络多基站合作ISAC

IF 7.9 2区计算机科学

IEEE Transactions on Network Science and Engineering Pub Date : 2026-02-10 DOI: 10.1109/TNSE.2026.3663391

Jianzhe Xue;Haibo Zhou;Haohai Huang;Gui Wen;Yunting Xu;Xinyu Huang;Xuemin Shen

{"title":"FD-RAN Empowered Multiple Base Stations Cooperative ISAC for Low-Altitude Networks","authors":"Jianzhe Xue;Haibo Zhou;Haohai Huang;Gui Wen;Yunting Xu;Xinyu Huang;Xuemin Shen","doi":"10.1109/TNSE.2026.3663391","DOIUrl":"https://doi.org/10.1109/TNSE.2026.3663391","url":null,"abstract":"The fully-decoupled radio access network (FD-RAN) with multiple base stations (BS) networked cooperation is expected to provide high-quality communication coverage for aerial vehicles while sensing their locations accurately and efficiently. In this paper, we propose a novel multiple BSs cooperative passive integrated sensing and communication (ISAC) framework in FD-RAN for low-altitude aerial vehicles. It utilizes the Doppler shift information from uplink orthogonal frequency division multiplexing (OFDM) signals to achieve efficient localization without incurring additional sensing overhead. Specifically, the carrier frequency offset (CFO) compensation process at each BS captures Doppler shift resulting from the relative motion between the aerial vehicle and the BS. Considering the position and velocity of the aerial vehicle as unknown variables, the localization is achieved by formulating and solving a system of equations describing these Doppler shifts. Furthermore, to enable accurate trajectory tracking, we design a learning-based adaptive double-filter (LADF) algorithm, which leverages temporal correlations in both Doppler shift measurements and vehicle trajectories to improve the time-continuous localization. Extensive simulation results demonstrate the effectiveness of our proposed ISAC framework in low-altitude FD-RAN, which can enhance the coverage performance and efficiently provide accurate localization for aerial vehicles.","PeriodicalId":54229,"journal":{"name":"IEEE Transactions on Network Science and Engineering","volume":"13 ","pages":"6927-6943"},"PeriodicalIF":7.9,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147299534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evolutionary Knowledge-Enhanced Semantic Communication: Transition From SISO to MIMO 进化知识增强的语义通信：从SISO到MIMO的过渡

IF 7.9 2区计算机科学

IEEE Transactions on Network Science and Engineering Pub Date : 2026-02-09 DOI: 10.1109/TNSE.2026.3662778

Bizhu Wang;Huachao Xiong;Shujun Han;Mengying Sun;Daiqi Zhang;Xiaodong Xu;Ping Zhang

{"title":"Evolutionary Knowledge-Enhanced Semantic Communication: Transition From SISO to MIMO","authors":"Bizhu Wang;Huachao Xiong;Shujun Han;Mengying Sun;Daiqi Zhang;Xiaodong Xu;Ping Zhang","doi":"10.1109/TNSE.2026.3662778","DOIUrl":"https://doi.org/10.1109/TNSE.2026.3662778","url":null,"abstract":"Semantic communication (SemCom) conveys semantic meaning rather than raw data to address growing data demands within limited spectrum resources. However, existing SemCom systems remain confined to single-input single-output (SISO) configurations, creating a gap with modern multiple-input multiple-output (MIMO) infrastructure. While some recent studies have explored MIMO-enabled SemCom, they assume perfect channel state information (CSI), an impractical requirement given real-world interference and complex propagation. To bridge this gap, we propose the MIMO-augmented Knowledge-Enhanced SemCom (MIMO-KESC) system, integrating MIMO-specific modules including layer mapping, precoding, and channel equalization into conventional SemCom architecture. Its key innovation is a complex-valued neural equalizer that processes inherently complex signals to preserve phase information, delivering more accurate equalization than conventional minimum mean square error (MMSE) methods without perfect CSI. The system also incorporates a knowledge enhancement component for decoding highly compressed semantics. Simulations demonstrate that MIMO-KESC delivers robustly superior transmission quality (e.g., higher Bilingual Evaluation Understudy (BLEU) scores) under diverse wireless conditions and antenna setups, paving the way for scalable, high-performance SemCom in future MIMO networks.","PeriodicalId":54229,"journal":{"name":"IEEE Transactions on Network Science and Engineering","volume":"13 ","pages":"6855-6870"},"PeriodicalIF":7.9,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147299547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

QoE-Driven Multi-Task Offloading for Semantic-Aware Edge Computing Systems 语义感知边缘计算系统的qos驱动多任务卸载

IF 7.9 2区计算机科学

IEEE Transactions on Network Science and Engineering Pub Date : 2026-02-09 DOI: 10.1109/TNSE.2026.3662899

Xuyang Chen;Daquan Feng;Wei Jiang;Qu Luo;Gaojie Chen;Yao Sun

{"title":"QoE-Driven Multi-Task Offloading for Semantic-Aware Edge Computing Systems","authors":"Xuyang Chen;Daquan Feng;Wei Jiang;Qu Luo;Gaojie Chen;Yao Sun","doi":"10.1109/TNSE.2026.3662899","DOIUrl":"https://doi.org/10.1109/TNSE.2026.3662899","url":null,"abstract":"Mobile edge computing (MEC) provides low-latency offloading solutions for computationally intensive tasks, effectively improving the computing efficiency and battery life of mobile devices. However, for data-intensive tasks or scenarios with limited uplink bandwidth, network congestion might occur due to massive simultaneous offloading nodes, increasing transmission latency, and affecting task performance. In this paper, we propose a semantic-aware multi-task offloading framework to address the challenges posed by limited uplink bandwidth. By introducing a semantic extraction factor, we balance the tradeoff among transmission latency, computation energy consumption, and task performance. To measure the offloading performance of different tasks, we design a unified and fair quality of experience (QoE) metric that includes execution latency, energy consumption, and task performance. We formulate the QoE optimization problem as a Markov decision process (MDP) and exploit the semantic-aware multi-agent proximal policy optimization (MAPPO) reinforcement learning algorithm to jointly optimize the semantic extraction factor and communication and computing resources allocation to maximize overall QoE. Experimental results show that the proposed method achieves a 12.68% improvement in user QoE compared with the semantic-unaware approach. Moreover, the proposed approach can be easily extended to models with different user preferences.","PeriodicalId":54229,"journal":{"name":"IEEE Transactions on Network Science and Engineering","volume":"13 ","pages":"7100-7117"},"PeriodicalIF":7.9,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147362311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SecHeto-FL: A Secure and Resilient Federated Learning Framework for Heterogeneous IoT Networks SecHeto-FL：面向异构物联网网络的安全弹性联邦学习框架

IF 7.9 2区计算机科学

IEEE Transactions on Network Science and Engineering Pub Date : 2026-02-09 DOI: 10.1109/TNSE.2026.3663098

Shehan Edirimannage;Ibrahim Khalil;Xun Yi;Kwok-Yan Lam

{"title":"SecHeto-FL: A Secure and Resilient Federated Learning Framework for Heterogeneous IoT Networks","authors":"Shehan Edirimannage;Ibrahim Khalil;Xun Yi;Kwok-Yan Lam","doi":"10.1109/TNSE.2026.3663098","DOIUrl":"https://doi.org/10.1109/TNSE.2026.3663098","url":null,"abstract":"This study introduces a semi-asynchronous web browser-based federated learning (FL) framework with secure communication, designed for heterogeneous IoT networks. The study addresses the complex challenges of FL over a large number of heterogeneous IoT devices connected by insecure and unstable communication links compounded with the possibility of client dropout, where clients may disconnect due to internal failures or external reasons, using a model-centric client selection strategy and a semi-asynchronous FL protocol. In the semi-asynchronous process, the central server emulates a synchronous system model by setting a submission deadline for clients and only timely updates are considered for the client selection process. This ensures a robust FL process for the client dropout problem. Unlike agnostic selection protocols, we propose a performance-based client selection algorithm that evaluates local model quality. This maintains fairness and global model performance even with intermittent client participation. Moreover, we utilize TLS-based central server validation and a public key cryptography-based client authentication mechanism to defend against communication layer threats (man-in-the-middle attacks, unauthorized client access) to further strengthen communication security. The proposed framework is hereafter referred to as SecHeto-FL. Extensive evaluation results show that SecHeto-FL significantly outperforms state-of-the-art techniques, in terms of global model accuracy. Theoretical analysis further guarantees convergence of the global model and resilience against client dropout attacks. These findings position SecHeto-FL as a practical and scalable FL framework for next-generation intelligent networks that remains secure in the face of communication security risks.","PeriodicalId":54229,"journal":{"name":"IEEE Transactions on Network Science and Engineering","volume":"13 ","pages":"6772-6789"},"PeriodicalIF":7.9,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147299553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

BPE-MTSNet: Balanced Performance and Efficiency in Multivariate Spatiotemporal Time Series Forecasting BPE-MTSNet：多元时空时间序列预测的平衡性能和效率

IF 7.9 2区计算机科学

IEEE Transactions on Network Science and Engineering Pub Date : 2026-02-06 DOI: 10.1109/TNSE.2026.3661975

Haitao Zhao;Yunjie Li;Pengfei Liu;Wei Wang;Lei Shi;Yongchao Cui

{"title":"BPE-MTSNet: Balanced Performance and Efficiency in Multivariate Spatiotemporal Time Series Forecasting","authors":"Haitao Zhao;Yunjie Li;Pengfei Liu;Wei Wang;Lei Shi;Yongchao Cui","doi":"10.1109/TNSE.2026.3661975","DOIUrl":"https://doi.org/10.1109/TNSE.2026.3661975","url":null,"abstract":"Multivariate spatiotemporal data are pervasive in IoT systems (e.g., smart grids, intelligent transportation), yet existing models suffer from prohibitive parameter counts and low computational efficiency, severely hindering deployment in resource-constrained IoT scenarios. To address this, we propose the Balanced Performance-Efficiency Multivariate Spatiotemporal Network (BPE-MTSNet), a lightweight multi-scale spatiotemporal framework that achieves an optimal balance between prediction performance and efficiency. Its innovation lies in three key modules: (i) the Dynamic Rank Non-negative Matrix Factorization (DR-NMF) adaptively adjusts the factorization rank to construct a multi-scale feature pyramid, eliminating redundant parameters; (ii) the Depthwise Separable Convolutional Network (DSCNN) decomposes standard convolutions into depthwise and pointwise operations, drastically reducing computation and parameters; (iii) the Cross-Scale Attention Fusion (CSAF) aggregates key cross-scale features via attention and gated fusion, preserving prediction performance. Experiments on four real-world datasets demonstrate BPE-MTSNet significantly reduces parameters while maintaining competitive performance on most, offering an optimized solution for IoT-oriented spatiotemporal modeling.","PeriodicalId":54229,"journal":{"name":"IEEE Transactions on Network Science and Engineering","volume":"13 ","pages":"6909-6926"},"PeriodicalIF":7.9,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147362296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

TerseChain: A Stateless UTXO-Based Blockchain With Sharding Support TerseChain：一个无状态的基于utxo的区块链，支持分片

IF 7.9 2区计算机科学

IEEE Transactions on Network Science and Engineering Pub Date : 2026-02-06 DOI: 10.1109/TNSE.2026.3662399

Tianwei Cai;Yi Sun;Chao Wang;Zhaowen Lin;Xueyun Zeng;Xiaohong Cai;Yijing Lin

{"title":"TerseChain: A Stateless UTXO-Based Blockchain With Sharding Support","authors":"Tianwei Cai;Yi Sun;Chao Wang;Zhaowen Lin;Xueyun Zeng;Xiaohong Cai;Yijing Lin","doi":"10.1109/TNSE.2026.3662399","DOIUrl":"https://doi.org/10.1109/TNSE.2026.3662399","url":null,"abstract":"Blockchain technology innovatively realizes data trusted verification and traceability through the chain structure. But meanwhile, the constant growth of blockchain causes a serious state bloat, becoming a critical challenge restricting the scalability of blockchain. The stateless blockchain, eliminating the necessity of storing the entire state by compressing it into a commitment, is a promising solution to address the state bloat problem. However, current stateless blockchains for unspent transaction output (UTXO) model suffer from poor performance and scalability. In this paper, we present TerseChain, a sharding stateless UTXO-based blockchain that can effectively balance storage, computation, and communication overhead. Specifically, TerseChain innovatively decouples the cross-shard transaction processing into local validation, global ordering, and parallel execution by stateless verification, improving scalability while guaranteeing security. More importantly, our enhanced algorithms markedly increase the efficiency of stateless verification within each shard, necessitating only a constant overhead in storage. Through rigorous theoretical analysis and extensive experimental results, we demonstrate that TerseChain provides high processing capacity that scales favorably with the expansion of the network. TerseChain not only addresses the scalability issues of stateless blockchains but also provides a foundation for AI-enhanced blockchain scalability solutions.","PeriodicalId":54229,"journal":{"name":"IEEE Transactions on Network Science and Engineering","volume":"13 ","pages":"6891-6908"},"PeriodicalIF":7.9,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147299537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrated Sensing and Communication Using a Smart Leaky-Wave Antenna 基于智能漏波天线的集成传感与通信

IF 7.9 2区计算机科学

IEEE Transactions on Network Science and Engineering Pub Date : 2026-02-06 DOI: 10.1109/TNSE.2026.3662043

Guillermo Inglés-Muñoz;Alejandro Gil-Martínez;José Antonio López-Pastor;Astrid Algaba-Brazález;Antonio Skarmeta;José Luis Gómez-Tornero

{"title":"Integrated Sensing and Communication Using a Smart Leaky-Wave Antenna","authors":"Guillermo Inglés-Muñoz;Alejandro Gil-Martínez;José Antonio López-Pastor;Astrid Algaba-Brazález;Antonio Skarmeta;José Luis Gómez-Tornero","doi":"10.1109/TNSE.2026.3662043","DOIUrl":"https://doi.org/10.1109/TNSE.2026.3662043","url":null,"abstract":"The forthcoming sixth-generation (6G) wireless systems promote the convergence of cellular, Wi-Fi, and Internet of Things (IoT) networks. In this context, indoor IoT environments demand particular attention, as enhancing communication performance through the integration of sensing information becomes crucial in such scenarios. Thus, Integrated sensing and communication (ISAC) is poised to be a native technology for the 6G wireless networks. However, the vast majority of proposed works have developed sensing and communication technologies separately, and just a few integrate both technologies in a single prototype. To address this research gap, this paper proposes for the first time the integration of a smart leaky-wave antenna with the Wi-Fi protocol to enhance sensing-assisted communication in a cluttered indoor IoT environment. Due to the dispersive frequency-scanning response of a leaky-wave antenna, a highly directive beam pointing to different directions in space can be used to enhance communication performance. The manufactured prototype enables precise predictive beamforming largely unaffected by clutter echoes, leading to significant improvements in effective data rate compared to widely used commercial monopole and switched beam antenna solutions.","PeriodicalId":54229,"journal":{"name":"IEEE Transactions on Network Science and Engineering","volume":"13 ","pages":"6871-6890"},"PeriodicalIF":7.9,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147299559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

RLAC: Rate-Limiting Anonymous Credential for Low Altitude Intelligent Transportation RLAC：用于低空智能交通的限速匿名凭证

IF 7.9 2区计算机科学

IEEE Transactions on Network Science and Engineering Pub Date : 2026-02-06 DOI: 10.1109/TNSE.2026.3662024

Jialing He;Yaqing Feng;Biwen Chen;Yi Yang;Ze Jiang;Debiao He;Tao Xiang

{"title":"RLAC: Rate-Limiting Anonymous Credential for Low Altitude Intelligent Transportation","authors":"Jialing He;Yaqing Feng;Biwen Chen;Yi Yang;Ze Jiang;Debiao He;Tao Xiang","doi":"10.1109/TNSE.2026.3662024","DOIUrl":"https://doi.org/10.1109/TNSE.2026.3662024","url":null,"abstract":"Low-altitude intelligent transportation (LAIT) relies on uncrewed aerial vehicles (UAVs) for diverse applications. However, current operational requirements often necessitate UAVs to broadcast their identity in plaintext, which introduces significant privacy risks. While anonymous credentials enable UAVs to prove legitimacy without revealing sensitive information or relying on constantly online central authorities, existing schemes lack integrated rate-limiting mechanisms essential for preventing denial-of-service attacks and managing high-density airspace resources safely. We propose <bold>RLAC</b>, a rate-limiting anonymous credential scheme based on BBS<inline-formula><tex-math>$^+$</tex-math></inline-formula> signatures. RLAC ensures non-transferability by cryptographically binding credentials to secure hardware via Device Unique Keys (DUK). It enforces time-window-based verification limits to prevent abuse, incorporates conditional anonymity to trace only malicious UAVs while preserving compliant user privacy, and supports efficient credential revocation. We conduct a thorough analysis of RLAC’s security and demonstrate its practicality via comprehensive performance evaluations. Experimental results show that our scheme achieves computational overhead within tens of milliseconds in both credential issuance and presentation phases, with performance suitable for real-world UAV deployments.","PeriodicalId":54229,"journal":{"name":"IEEE Transactions on Network Science and Engineering","volume":"13 ","pages":"7084-7099"},"PeriodicalIF":7.9,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147362283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantum-Driven Resource Optimization for Full-Duplex STAR-RIS-Aided NOMA-ISAC With Constraint Projection 基于约束投影的全双工star - ris辅助NOMA-ISAC量子驱动资源优化

IF 7.9 2区计算机科学

IEEE Transactions on Network Science and Engineering Pub Date : 2026-02-06 DOI: 10.1109/TNSE.2026.3661278

Aditya Sharma;Keshav Singh;Anal Paul;Kamal Agrawal;Kapal Dev;Sudip Biswas

{"title":"Quantum-Driven Resource Optimization for Full-Duplex STAR-RIS-Aided NOMA-ISAC With Constraint Projection","authors":"Aditya Sharma;Keshav Singh;Anal Paul;Kamal Agrawal;Kapal Dev;Sudip Biswas","doi":"10.1109/TNSE.2026.3661278","DOIUrl":"https://doi.org/10.1109/TNSE.2026.3661278","url":null,"abstract":"This paper proposes a projected quantum gradient descent (P-QGD) framework for joint beamforming and simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS) configuration in full-duplex non-orthogonal multiple access (NOMA)-assisted integrated sensing and communication (ISAC) systems. A parameterized quantum circuit (PQC) encodes downlink beamforming vectors, STAR-RIS phase shifts, and amplitude reflection/transmission coefficients into quantum states using Pauli-<inline-formula><tex-math>$X$</tex-math></inline-formula> rotation gates. At each iteration, measurement-based stochastic gradients are projected onto a constrained feasible set to ensure physical realizability, including unit-modulus phase constraints, amplitude normalization, and transmit power limits. A convergence guarantee is established under standard smoothness and bounded variance assumptions. The proposed P-QGD method exhibits logarithmic scaling in parameter dimensionality and achieves faster convergence compared to classical projected stochastic gradient descent (P-SGD). Extensive simulations validate that P-QGD yields higher downlink sum rate, improved sensing signal-to-interference-plus-noise ratio, and superior beamforming sharpness across varying reconfigurable intelligent surfaces (RIS) sizes, channel state information errors, and sensing–communication trade-offs. The framework also enables physical interpretability by linking quantum-optimized parameters to far-field beam pattern behavior. This work demonstrates the feasibility and advantages of quantum-native optimization in RIS-aided ISAC systems with constrained, multi-objective requirements.","PeriodicalId":54229,"journal":{"name":"IEEE Transactions on Network Science and Engineering","volume":"13 ","pages":"6827-6842"},"PeriodicalIF":7.9,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147299577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Decentralized, Game-Theoretic Reflection Control in Battery-Free Ambient Backscatter Communication Internet of Things Networks 无电池环境后向散射通信物联网网络中的分散博弈论反射控制

IF 7.9 2区计算机科学

IEEE Transactions on Network Science and Engineering Pub Date : 2026-02-04 DOI: 10.1109/TNSE.2026.3660982

Azadeh Pourkabirian;Kai Li;Xiaolin Zhou;Wei Ni;Mohsen Guizani

{"title":"Decentralized, Game-Theoretic Reflection Control in Battery-Free Ambient Backscatter Communication Internet of Things Networks","authors":"Azadeh Pourkabirian;Kai Li;Xiaolin Zhou;Wei Ni;Mohsen Guizani","doi":"10.1109/TNSE.2026.3660982","DOIUrl":"https://doi.org/10.1109/TNSE.2026.3660982","url":null,"abstract":"The Internet of Things is constrained by energy consumption and battery limitations, leading to high network maintenance costs and environmental impact. Battery-free ambient backscatter communication (AmBC) provides a sustainable alternative by enabling passive tags to harvest RF energy for continuous data transmission. The inherently low power of AmBC signals increases signal outage probability and bit error rates (BER), requiring effective adaptation mechanisms. This paper proposes a new reflection coefficient adjustment approach that enables both energy harvesting and reliable data transmission at each passive tag. In our decentralized multi-agent framework, tags compete to achieve higher transmit powers for reliable communication. To mitigate interference between tags, we model the interaction among tags as a non-cooperative Cournot game, where each tag acts as a rational agent adjusting its reflection coefficient to maximize its own utility—defined as a trade-off between transmission reliability and interference mitigation. Our game-theoretic approach eliminates the need for explicit coordination or information exchange, promoting scalability and robustness. Numerical results show that our approach significantly outperforms existing methods by reducing BER and improving energy efficiency, making it a viable solution for sustainable, battery-free IoT communications.","PeriodicalId":54229,"journal":{"name":"IEEE Transactions on Network Science and Engineering","volume":"13 ","pages":"7244-7264"},"PeriodicalIF":7.9,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147440511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0