Digital Communications and Networks最新文献_第3页

Joint PAPR reduction and digital post-distortion transmission framework for nonlinear OFDM systems 非线性OFDM系统的联合PAPR降低和数字后失真传输框架

IF 6.3 2区计算机科学

Digital Communications and Networks Pub Date : 2026-08-01 Epub Date: 2026-07-13 DOI: 10.1016/j.dcan.2026.07.002

Yi Fang, Sai Huang, Jiashuo He, Weiwei Jiang, Shuo Chang, Zhiyong Feng, Ping Zhang

{"title":"Joint PAPR reduction and digital post-distortion transmission framework for nonlinear OFDM systems","authors":"Yi Fang, Sai Huang, Jiashuo He, Weiwei Jiang, Shuo Chang, Zhiyong Feng, Ping Zhang","doi":"10.1016/j.dcan.2026.07.002","DOIUrl":"10.1016/j.dcan.2026.07.002","url":null,"abstract":"<div><div>Orthogonal Frequency-Division Multiplexing (OFDM) signals inherently exhibit a high Peak-to-Average Power Ratio (PAPR). This forces the Power Amplifier (PA) to operate with large input back-off, resulting in substantial energy waste and posing a serious challenge for green communication. To address this, we propose a novel transmission framework that integrates a nonlinear companding-based PAPR reduction method with the Digital Post-Distortion (DPoD) technique to balance power efficiency and Bit Error Rate (BER) performance. To recover the transmitted signals, a Successive Decision Feedback Nonlinearity Equalizer (SDFNE) is developed at the receiver side. The SDFNE employs a time-domain least squares equalizer with closed-loop iterative feedback to jointly mitigate companding distortion and PA nonlinearity. The proposed framework balances transmitter-side PAPR suppression and receiver-side nonlinear equalization. This enables the PA to operate closer to its saturation point while achieving excellent BER performance. Meanwhile, compliance with spectral emission mask requirements is maintained. Numerical results on diverse PA models demonstrate that the proposed transmission framework with the SDFNE method significantly outperforms conventional nonlinear signal processing methods, including nonlinear companding, digital predistortion, and DPoD. Superior BER performance is achieved in a power-efficient manner, making the proposed framework particularly suitable for resource-constrained communication systems.</div></div>","PeriodicalId":48631,"journal":{"name":"Digital Communications and Networks","volume":"12 8","pages":"Pages 1256-1265"},"PeriodicalIF":6.3,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148960978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Toward collaborative perception for CAVs: A joint optimization of latency, multimodel fusion, and resource allocation 自动驾驶汽车的协同感知：延迟、多模型融合和资源分配的联合优化

IF 6.3 2区计算机科学

Digital Communications and Networks Pub Date : 2026-08-01 Epub Date: 2026-05-27 DOI: 10.1016/j.dcan.2026.05.008

Xiaoge Huang, Hongyu Li, Caiwei Yu, Mu Zhou, Chengchao Liang, Qianbin Chen

{"title":"Toward collaborative perception for CAVs: A joint optimization of latency, multimodel fusion, and resource allocation","authors":"Xiaoge Huang, Hongyu Li, Caiwei Yu, Mu Zhou, Chengchao Liang, Qianbin Chen","doi":"10.1016/j.dcan.2026.05.008","DOIUrl":"10.1016/j.dcan.2026.05.008","url":null,"abstract":"<div><div>In complex traffic environment, the limited sensing range of Connected and Autonomous Vehicles (CAVs) leads to missing Regions of Interest (ROI) when occlusions occur. Collaborative perception can extend the sensing range and recover ROI through information sharing, but it also introduces additional computation and increases processing latency. In this paper, we propose a joint latency-resource optimization architecture to achieve accurate and real-time perception under occlusions. First, we model an edge-vehicle collaborative network, and formulate a dual optimization problem for resource allocation and minimizing perception data collection latency. Second, with resource constraints, this problem is transformed into an ROI fusion quality optimization problem, which is solved by the Improved Discrete Salp Swarm (IDSS) algorithm. Finally, based on the fusion quality optimization results, the Hybrid Action Space-based Deep Deterministic Policy Gradient (HDDPG) algorithm is introduced to dynamically allocate available computation resources, thereby achieving minimized perception fusion latency. Simulation results demonstrate the efficiency of the proposed joint optimization architecture, which could reduce the processing latency by 0.1 s compared to comparison algorithms, with higher accuracy.</div></div>","PeriodicalId":48631,"journal":{"name":"Digital Communications and Networks","volume":"12 8","pages":"Pages 1197-1207"},"PeriodicalIF":6.3,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148960977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Overcoming constructive/destructive interference in diversity transmission via Alamouti coding 利用Alamouti编码克服分集传输中的建设性/破坏性干扰

IF 6.3 2区计算机科学

Digital Communications and Networks Pub Date : 2026-08-01 Epub Date: 2026-04-09 DOI: 10.1016/j.dcan.2026.04.002

Jiali Chen, Ye Zhou, Qinyi Zhang, Mingxu Wang, Xin Lu, Hansong Ma, Ying Wu, Qiutong Zhang, Jianyu Long, Weiping Li, Wen Zhou, Kaihui Wang, Jianjun Yu

{"title":"Overcoming constructive/destructive interference in diversity transmission via Alamouti coding","authors":"Jiali Chen, Ye Zhou, Qinyi Zhang, Mingxu Wang, Xin Lu, Hansong Ma, Ying Wu, Qiutong Zhang, Jianyu Long, Weiping Li, Wen Zhou, Kaihui Wang, Jianjun Yu","doi":"10.1016/j.dcan.2026.04.002","DOIUrl":"10.1016/j.dcan.2026.04.002","url":null,"abstract":"<div><div>We propose a novel Alamouti-Orthogonal Frequency Division Multiplexing (OFDM) system that mitigates constructive and destructive interference in practical multi-antenna wireless communications. The key innovation lies in directly applying Alamouti coding at the OFDM subcarrier level. By harnessing the inherent orthogonality and frequency-domain properties of OFDM subcarriers, our system fundamentally mitigates the constructive/destructive interference caused by propagation path-delay differences between transmit antennas. By discovering and leveraging the inherent properties of OFDM subcarriers and combined with the full diversity gain and inter-carrier orthogonality enabled by Alamouti coding, our system simultaneously achieves diversity gain while overcoming unavoidable multi-signal time delays inherent in diversity transmissions. Experimental results across multiple scenarios demonstrate that, under spatial misalignment, the Alamouti-OFDM system provides a maximum Signal-to-Noise Ratio (SNR) gain of 3.45 dB over traditional diversity transmission systems; in scenarios where traditional methods exhibit  > 10 dB spectral fluctuations, our system confines the spectral variations of the received signals within 2 dB.</div></div>","PeriodicalId":48631,"journal":{"name":"Digital Communications and Networks","volume":"12 8","pages":"Pages 1313-1322"},"PeriodicalIF":6.3,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148997754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Absolute calibration in massive MIMO systems: analysis of errors and SNR requirements 大规模MIMO系统中的绝对校准：误差和信噪比要求分析

IF 6.3 2区计算机科学

Digital Communications and Networks Pub Date : 2026-08-01 Epub Date: 2026-03-28 DOI: 10.1016/j.dcan.2026.03.013

Fuqian Yang, Jinlin Zhang, Yutao Wang, Chun Cai, Hebing Wu, Xiqi Gao

{"title":"Absolute calibration in massive MIMO systems: analysis of errors and SNR requirements","authors":"Fuqian Yang, Jinlin Zhang, Yutao Wang, Chun Cai, Hebing Wu, Xiqi Gao","doi":"10.1016/j.dcan.2026.03.013","DOIUrl":"10.1016/j.dcan.2026.03.013","url":null,"abstract":"<div><div>In practical Massive Multiple-Input Multiple-Output (MIMO) systems, inherent Radio Frequency (RF) analog circuit mismatches across Base Station (BS) antennas inevitably degrade performance without precise calibration. While conventional relative calibration preserves Uplink-Downlink (UL-DL) channel reciprocity, it fails to ensure antenna consistency-a critical requirement for emerging sixth generation (6G) technologies such as sparse channel estimation, Integrated Sensing and Communication (ISAC), and high-resolution Direction-of-Arrival (DoA) estimation. Absolute calibration addresses this gap by enforcing both reciprocity and antenna consistency, yet its error resilience and Signal-to-Noise Ratio (SNR) requirements remain underexplored. This paper presents a comprehensive analysis of absolute calibration errors and their implications for massive MIMO systems. First, we derive the statistical distributions of calibration-induced amplitude and phase errors, revealing their asymptotic convergence to zero-mean truncated Gaussian variables under high SNR conditions. Subsequently, closed-form expressions for Downlink (DL) Signal-to-Interference-plus-Noise Ratio (SINR) are established, explicitly linking system performance to calibration errors and calibration SNR. Leveraging these results, we quantify the minimum SNR thresholds required to limit SINR degradation to practical tolerances. Finally, comprehensive simulations validate the analytical accuracy. Our findings provide critical guidelines for designing absolute calibration in massive MIMO systems.</div></div>","PeriodicalId":48631,"journal":{"name":"Digital Communications and Networks","volume":"12 8","pages":"Pages 1208-1222"},"PeriodicalIF":6.3,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148960973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Progressive layering for MLCM: high performance at minimal complexity MLCM的渐进式分层：以最小的复杂性实现高性能

IF 6.3 2区计算机科学

Digital Communications and Networks Pub Date : 2026-08-01 Epub Date: 2026-06-11 DOI: 10.1016/j.dcan.2026.06.002

Yuejun Wei, Jing Guo, Chunqi Chen, Bin Xia, Liandong Wang, Ming Jiang

引用次数: 0

Decentralized and provably secure authentication for smart grids via XTR and blockchain 通过XTR和区块链为智能电网提供分散且可证明安全的身份验证

IF 6.3 2区计算机科学

Digital Communications and Networks Pub Date : 2026-07-01 Epub Date: 2026-05-28 DOI: 10.1016/j.dcan.2026.05.005

Guangquan Xu, Shitang Zhang, Cong Wang, Zhigang Li, Zhe Ma, Haitao Zhang, Li Zhang

{"title":"Decentralized and provably secure authentication for smart grids via XTR and blockchain","authors":"Guangquan Xu, Shitang Zhang, Cong Wang, Zhigang Li, Zhe Ma, Haitao Zhang, Li Zhang","doi":"10.1016/j.dcan.2026.05.005","DOIUrl":"10.1016/j.dcan.2026.05.005","url":null,"abstract":"<div><div>Smart Grid (SG) has garnered significant attention due to its exceptional stability, reliability, and flexibility. Ensuring secure communication between Smart Meters (SMs) and the Data Aggregator (DA) requires not only mutual authentication but also the establishment of a consistent session key. However, existing schemes exhibit limitations in terms of security or communication overhead, making them inadequate for practical SG applications. So, this paper proposes a blockchain-based identity authentication scheme for SG that leverages the eXtended Tower Representation (XTR) public key system. By integrating blockchain, the proposed scheme enables rapid re-authentication between SMs and the DA upon reconnection, effectively mitigating the risk of system paralysis caused by single-point failures while ensuring the integrity and security of private information. A informal security analysis demonstrates that the proposed scheme resists Key Compromise Impersonation (KCI) attacks, replay attacks, and impersonation attacks, while maintaining forward secrecy. Meanwhine, the security of our proposed XMAS scheme using the Canetti and Krawczyk (CK) attack model is completed, which demonstrates its resilience under the random oracle model. Furthermore, comparative evaluations with other schemes in terms of computational delay, number of cryptographic operations, and communication overhead show that the proposed scheme outperforms existing approaches in both security and overall efficiency. For example, the computation times and communication overhead are reduced by up to 88.66% and 80.65% respectively. In conclusion, the proposed method provides an effective and efficient solution for enhancing the security of communication between SMs and the DA in the Smart Grid.</div></div>","PeriodicalId":48631,"journal":{"name":"Digital Communications and Networks","volume":"12 7","pages":"Pages 1126-1137"},"PeriodicalIF":6.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148742937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integration of GNSS and cellular infrastructure for large-scale indoor localization 面向大规模室内定位的GNSS与蜂窝基础设施集成

IF 6.3 2区计算机科学

Digital Communications and Networks Pub Date : 2026-07-01 Epub Date: 2026-03-27 DOI: 10.1016/j.dcan.2026.03.015

Shuya Zhou, Xinghe Chu, Zhaoming Lu, Xiangming Wen

{"title":"Integration of GNSS and cellular infrastructure for large-scale indoor localization","authors":"Shuya Zhou, Xinghe Chu, Zhaoming Lu, Xiangming Wen","doi":"10.1016/j.dcan.2026.03.015","DOIUrl":"10.1016/j.dcan.2026.03.015","url":null,"abstract":"<div><div>Wireless indoor localization systems remain among the most promising technologies for enabling location-based services. Nevertheless, the inherent constraints of indoor environments often necessitate dense infrastructure deployment, presenting significant barriers for broader adoption due to the associated costs of installation and maintenance—particularly in vast areas such as underground parking facilities and metro stations. This paper introduces a novel localization framework that extends Global Navigation Satellite System (GNSS) signals indoors by repurposing existing passive Distributed Antenna Systems (DAS), originally designed for cellular communication. Within this framework, the distributed antennas acts as GNSS anchors by retransmitting satellite signals. Upon tracking these retransmitted signals and acquiring raw GNSS measurements, indoor pseudorange residuals and rates are extracted to infer both user location and velocity. A Particle Filter (PF)-based localization algorithm is then proposed for data fusion, the combination of anchor identification and ranging with regional constraints facilitates an efficient particle initialization, while inertial cues derived from GNSS Doppler further support consistent motion updates. Additionally, subregion information and anchor handover events offer essential spatial context for dynamically refining particle weights. Field experiments using a commercial smartphone in an actual underground parking environment demonstrate the system’s ability to deliver high localization accuracy and scalable coverage with minimal additional infrastructure.</div></div>","PeriodicalId":48631,"journal":{"name":"Digital Communications and Networks","volume":"12 7","pages":"Pages 1102-1115"},"PeriodicalIF":6.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148742942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Anonymous and revocable multi-message broadcast encryption scheme suitable for internet of vehicles 适用于车联网的匿名可撤销多消息广播加密方案

IF 6.3 2区计算机科学

Digital Communications and Networks Pub Date : 2026-07-01 Epub Date: 2026-03-28 DOI: 10.1016/j.dcan.2026.03.011

Zhiwei Chen, Lunzhi Deng, Binhan Li, Na Wang, Huawei Huang, Siwei Li

{"title":"Anonymous and revocable multi-message broadcast encryption scheme suitable for internet of vehicles","authors":"Zhiwei Chen, Lunzhi Deng, Binhan Li, Na Wang, Huawei Huang, Siwei Li","doi":"10.1016/j.dcan.2026.03.011","DOIUrl":"10.1016/j.dcan.2026.03.011","url":null,"abstract":"<div><div>The Internet of Vehicles (IoV) enhances traffic efficiency and public safety by disseminating real-time road information to vehicles. However, practical deployments require effective mechanisms to revoke unauthorized vehicles (e.g., those failing inspection or reaching the end of service life) while supporting differentiated information delivery to multiple recipients. To address these challenges, we propose an Anonymous and Revocable Multi-Message Broadcast Encryption (ARM2BE) scheme. In the proposed construction, a trusted authority manages revocation, and the Road Side Unit (RSU) encrypts multiple plaintexts into a single ciphertext such that each authorized vehicle can recover its designated message using its private key. The scheme does not rely on bilinear pairing or hash-to-point operations, thereby reducing computational complexity. We formally prove that ARM2BE achieves indistinguishability and recipient anonymity against chosen-ciphertext attacks in the standard model. Performance analysis and simulation results demonstrate that the proposed scheme achieves competitive communication and computational efficiency, making it suitable for practical IoV environments.</div></div>","PeriodicalId":48631,"journal":{"name":"Digital Communications and Networks","volume":"12 7","pages":"Pages 1138-1150"},"PeriodicalIF":6.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148742939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Interference detection for UAV swarm satellite communications with spatiotemporal manifold filtering 基于时空流形滤波的无人机群星通信干扰检测

IF 6.3 2区计算机科学

Digital Communications and Networks Pub Date : 2026-07-01 Epub Date: 2026-03-24 DOI: 10.1016/j.dcan.2026.03.007

Di Yan, Yuanzhi He, Zhiqiang Li

{"title":"Interference detection for UAV swarm satellite communications with spatiotemporal manifold filtering","authors":"Di Yan, Yuanzhi He, Zhiqiang Li","doi":"10.1016/j.dcan.2026.03.007","DOIUrl":"10.1016/j.dcan.2026.03.007","url":null,"abstract":"<div><div>Co-channel interference poses significant challenges to Unmanned Aerial Vehicle Swarm (UAVS) satellite communications within the Space-Air-Ground Integrated Network (SAGIN). To address this issue under conditions of weak interference, limited samples, and non-stationarity, we propose a novel interference detection method based on SAGIN. The core idea involves modeling the covariance matrices of multi-UAV received signals on a Riemannian manifold, thereby transforming interference detection into a geometric classification problem on the manifold. We further design a Spatiotemporal Manifold Filtering (STMF) mechanism, which suppresses noise and enhances weak interference perception through weighted geometric averaging of spatial neighbors’ covariance matrices and temporal trajectory smoothing. Simulation results show that STMF significantly outperforms traditional methods such as energy detection and trace-based detection under weak interference, specifically when the Interference-to-Signal Ratio (ISR) is less than <span><math><mrow><mo>−</mo><mn>4</mn></mrow></math></span> dB, achieving up to 38.4% higher average detection probability. Crucially, STMF operates without requiring large labeled datasets, enabling practical online detection for UAVS satellite communications in dynamic electromagnetic environments.</div></div>","PeriodicalId":48631,"journal":{"name":"Digital Communications and Networks","volume":"12 7","pages":"Pages 1164-1175"},"PeriodicalIF":6.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148742938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A deployment optimization for wireless sensor networks based on stacked autoencoder and probabilistic neural network 基于堆叠自动编码器和概率神经网络的无线传感器网络部署优化方案

IF 6.3 2区计算机科学

Digital Communications and Networks Pub Date : 2026-07-01 Epub Date: 2024-06-12 DOI: 10.1016/j.dcan.2024.06.003

Hui Feng, Chen Xu, Bo Jin, Min Zhang

{"title":"A deployment optimization for wireless sensor networks based on stacked autoencoder and probabilistic neural network","authors":"Hui Feng, Chen Xu, Bo Jin, Min Zhang","doi":"10.1016/j.dcan.2024.06.003","DOIUrl":"10.1016/j.dcan.2024.06.003","url":null,"abstract":"<div><div>In the field of consumer electronics, Wireless Sensor Networks (WSNs) can be used to build large-scale IoT systems and achieve intelligent data collection and processing. This paper proposes a deep neural network model SAE-PNN by Stacked Autoencoder (SAE) and Probabilistic Neural Network (PNN) in a stack manner. A comprehensive training algorithm of SAE-PNN based on a group of orthogonal function bases is established by introducing a time-varying input and connection weight function, based on the conventional algorithm of unsupervised layer-by-layer initialization and gradient descent of deep neural network. Our proposed SAE-PNN model is used to predict the distance from unknown nodes to known nodes. Based on the collaborative work of nodes and network coverage, an optimal set of working nodes is established to reduce the energy loss of network nodes. A balance relationship between network coverage and energy consumption has been established to solve the problem of optimizing the balance in location coverage and the contradiction between individual nodes and the overall performance of the network. The experimental results show that the proposed method can improve the coverage of the monitored area and the perceived quality of service, and uses a distributed node synchronous scheduling mechanism to reduce the overall energy consumption of the network.</div></div>","PeriodicalId":48631,"journal":{"name":"Digital Communications and Networks","volume":"12 7","pages":"Pages 1032-1041"},"PeriodicalIF":6.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141412521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0