IEEE Open Journal of the Communications Society最新文献_第3页

Deep Compressed Sensing for Terahertz Ultra-Massive MIMO Channel Estimation

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2025-02-21 DOI: 10.1109/OJCOMS.2025.3544871

Ganghui Lin;Mikail Erdem;Mohamed-Slim Alouini

{"title":"Deep Compressed Sensing for Terahertz Ultra-Massive MIMO Channel Estimation","authors":"Ganghui Lin;Mikail Erdem;Mohamed-Slim Alouini","doi":"10.1109/OJCOMS.2025.3544871","DOIUrl":"https://doi.org/10.1109/OJCOMS.2025.3544871","url":null,"abstract":"Envisioned as a pivotal technology for sixth-generation (6G) and beyond, Terahertz (THz) band communications can potentially satisfy the increasing demand for ultra-high-speed wireless links. While ultra-massive multiple-input multiple-output (UM-MIMO) is promising in counteracting the exceptionally high path loss at THz frequency, the channel estimation (CE) of this extensive antenna system introduces significant challenges. In this paper, we propose a deep compressed sensing (DCS) framework based on generative neural networks for THz CE. The proposed estimator generates realistic THz channel samples to avoid complex channel modeling for THz UM-MIMO systems, especially in the near field. More importantly, the estimator is optimized for fast channel inference. Our results show significant superiority over the baseline generative adversarial network (GAN) estimator and traditional estimators. Compared to conventional estimators, our model achieves at least 8 dB lower normalized mean squared error (NMSE). Against GAN estimator, our model achieves around 3 dB lower NMSE at 0 dB SNR with one order of magnitude lower computation complexity. Moreover, our model achieves lower training overhead compared to GAN with empirically 4 times faster training convergence.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"6 ","pages":"1747-1762"},"PeriodicalIF":6.3,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10899780","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143675999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Disaggregated and Distributed Near-Real-Time RIC for Large Scale User-Centric RAN

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2025-02-20 DOI: 10.1109/OJCOMS.2025.3543879

Amr Amrallah;Yu Tsukamoto;Takahide Murakami;Akio Ikami;Hiroyuki Shinbo;Yoshiaki Amano

{"title":"Disaggregated and Distributed Near-Real-Time RIC for Large Scale User-Centric RAN","authors":"Amr Amrallah;Yu Tsukamoto;Takahide Murakami;Akio Ikami;Hiroyuki Shinbo;Yoshiaki Amano","doi":"10.1109/OJCOMS.2025.3543879","DOIUrl":"https://doi.org/10.1109/OJCOMS.2025.3543879","url":null,"abstract":"The evolution toward user-centric radio access networks (RANs) necessitates innovative management strategies to handle growing network demands efficiently. This study presents a novel framework for the disaggregated and distributed deployment of near-real-time RAN intelligent controllers (near-RT RICs) tailored for large-scale user-centric networks. By leveraging a mixed-integer nonlinear programming (MINLP) approach, we aim to optimize both control latency and deployment costs, which are critical considerations in next-generation network management. Our proposed divide-and-conquer (D&C) and heuristic-greedy (HG)-based algorithms significantly reduce computational complexity while maintaining near-optimal performance. Simulation results indicated that the distributed framework achieved a 78% reduction in control latency with only 7% increase in deployment cost compared with the traditional centralized approach. Additionally, it achieved 99% reduction in runtime performance with an objective function value that was just 2% lower than the optimal value. These findings confirm the framework’s scalability and effectiveness, validating its suitability for operational telecom environments.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"6 ","pages":"1591-1609"},"PeriodicalIF":6.3,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10896698","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143583116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Scalable AP Clustering With Deep Reinforcement Learning for Cell-Free Massive MIMO

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2025-02-19 DOI: 10.1109/OJCOMS.2025.3543681

Yu Tsukamoto;Akio Ikami;Takahide Murakami;Amr Amrallah;Hiroyuki Shinbo;Yoshiaki Amano

{"title":"Scalable AP Clustering With Deep Reinforcement Learning for Cell-Free Massive MIMO","authors":"Yu Tsukamoto;Akio Ikami;Takahide Murakami;Amr Amrallah;Hiroyuki Shinbo;Yoshiaki Amano","doi":"10.1109/OJCOMS.2025.3543681","DOIUrl":"https://doi.org/10.1109/OJCOMS.2025.3543681","url":null,"abstract":"Cell-free massive MIMO (CF-mMIMO) is a promising approach for future mobile networks, utilizing centralized MIMO processing for densely distributed access points (APs). In CF-mMIMO, to reduce the computational load for signal processing while meeting throughput demands, user equipment (UEs) are served by a selected number of APs. A significant challenge is AP clustering for each UE, particularly in dynamic environments with moving UEs. One approach for optimizing the AP cluster involves deep reinforcement learning (DRL). However, with numerous UEs and APs, the computational load of DRL increases due to the larger model size and higher inference frequency. To address this, we propose an AP clustering method using distributed DRL. The model focuses on determining the AP cluster for every single UE to prevent model size expansion. The per-user models act as distributed actors, enabling parallel inference. Furthermore, to suppress inference frequency, multiple UEs with low mobility are assigned to the same actor, minimizing the number of parallel actors required without compromising throughput. Numerical simulation shows that our proposed method achieves efficient AP clustering that satisfies throughput requirements with reduced computational load in DRL, even in large-scale environments.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"6 ","pages":"1552-1567"},"PeriodicalIF":6.3,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10892255","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143583205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Efficient Network-Based QoE Assessment Framework for Multimedia Networks Using a Machine Learning Approach

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2025-02-19 DOI: 10.1109/OJCOMS.2025.3543750

Parsa Hassani Shariat Panahi;Amir Hossein Jalilvand;Abolfazl Diyanat

{"title":"An Efficient Network-Based QoE Assessment Framework for Multimedia Networks Using a Machine Learning Approach","authors":"Parsa Hassani Shariat Panahi;Amir Hossein Jalilvand;Abolfazl Diyanat","doi":"10.1109/OJCOMS.2025.3543750","DOIUrl":"https://doi.org/10.1109/OJCOMS.2025.3543750","url":null,"abstract":"The Internet is integral to modern life, influencing communication, business, and lifestyles worldwide. As dependence on Internet services grows, so does the demand for high-quality service delivery. Service providers must uphold high standards of quality of service and Quality of Experience (QoE) to ensure user satisfaction. QoE, a key metric for multimedia services, reflects user satisfaction with service quality. However, measuring QoE is challenging due to its subjective nature and the complexities associated with real-time feedback.This paper presents an open-source framework for assessing QoE in multimedia networks using only key network parameters. By eliminating the need for video-specific data, this framework simplifies the traditional ITU standard for QoE assessment, achieving high accuracy in predicting Mean Opinion Scores (MOS). The framework leverages Machine Learning (ML) to model the relationship between network parameters and QoE, providing a scalable and efficient solution for real-time QoE evaluation in multimedia networks.By focusing exclusively on network metrics (e.g., delay, jitter, and packet loss), it eliminates the need for video-specific parameters to calculate MOS. Addressing the limitations of existing QoE models, the framework integrates real-time data collection, ML predictions, and adherence to international standards. This reduced-parameter approach achieves approximately 97% of the prediction accuracy of the full ITU P.1203 implementation while significantly lowering data requirements and computational demands. By enabling ITU-T P.1203 MOS score calculation without video-specific data, the framework offers a faster, scalable solution adaptable to diverse real-time multimedia services.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"6 ","pages":"1653-1669"},"PeriodicalIF":6.3,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10892313","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reduced Complexity Initial Synchronization for 5G NR Multibeam LEO-Based Non-Terrestrial Networks

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2025-02-19 DOI: 10.1109/OJCOMS.2025.3543625

Ashish Kumar Meshram;Sumit Kumar;Jorge Querol;Stefano Andrenacci;Symeon Chatzinotas

{"title":"Reduced Complexity Initial Synchronization for 5G NR Multibeam LEO-Based Non-Terrestrial Networks","authors":"Ashish Kumar Meshram;Sumit Kumar;Jorge Querol;Stefano Andrenacci;Symeon Chatzinotas","doi":"10.1109/OJCOMS.2025.3543625","DOIUrl":"https://doi.org/10.1109/OJCOMS.2025.3543625","url":null,"abstract":"This paper presents a computationally efficient technique to mitigate the overall Carrier Frequency Offset (CFO) impairment introduced by the User Equipment (UE) crystal oscillator imperfection and the Doppler effect introduced by the satellite and UE movement. We assume steerable multibeam regenerative Low Earth Orbit (LEO) satellite-based 5G New Radio (NR) Non-Terrestrial Networks (NTN) under trajectory uncertainty and beam-pointing errors. The UE and the satellite do not require any prior information on the satellite ephemeris or UE location to achieve initial synchronization. The novelty of our method lies in exploiting the instantaneous satellite state vector for Doppler Pre-Compensation (DPC) to each beam of the LEO satellite relative to its Beam Center (BC). The UE then performs post-compensation to address the residual frequency offset by employing aggregated 5G New Radio (NR) Primary Synchronization Signal (PSS), followed by PSS detection, offering two-fold search space reduction during initial synchronization. We provide practical design parameters for the proposed algorithm to ensure that UE can efficiently perform initial synchronization by evaluating approximate bounds on the spot beam radius along with the No-Benefit Region (NBR) bounds of DPC. We conducted extensive simulations to assess the performance of the S- and Ka-bands under the NTN channel model and validated it with the corresponding analytical expressions conditioned on satellite trajectory uncertainty and beam-pointing error. Our method ensures that the probability of PSS detection remains above 90% while maintaining a false alarm rate of 1% at a Signal-to-Noise Ratio (SNR) as low as −6 (dB) if the standard deviation of the satellite trajectory and beam-pointing errors are within 5 (km) and 0.05°, respectively.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"6 ","pages":"1528-1551"},"PeriodicalIF":6.3,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10892320","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143583112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hybrid Near/Far-Field Communications of RIS-Aided Cell-Free Massive MIMO With Visibility Region Detection

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2025-02-18 DOI: 10.1109/OJCOMS.2025.3543393

Xiangjun Ma;Ali Arshad Nasir;Daniel Benevides Da Costa

{"title":"Hybrid Near/Far-Field Communications of RIS-Aided Cell-Free Massive MIMO With Visibility Region Detection","authors":"Xiangjun Ma;Ali Arshad Nasir;Daniel Benevides Da Costa","doi":"10.1109/OJCOMS.2025.3543393","DOIUrl":"https://doi.org/10.1109/OJCOMS.2025.3543393","url":null,"abstract":"This paper analyzes visibility region (VR) detection and spectral efficiency (SE) in a reconfigurable intelligent surface (RIS)-aided cell-free massive multiple-input multiple-output (CF-mMIMO) system, with a focus on hybrid near-field (NF) and far-field (FF) communication. A statistical channel model is introduced, leveraging the Fresnel approximation and Rayleigh distance concepts. To enable VR detection using signals received from the radio-frequency (RF) chains of the RIS, a novel detection matrix based on the Welch-bound-equality (WBE) codebook is proposed. Its performance is thoroughly analyzed, with closed-form expressions derived for the probabilities of missed detection and false alarm. Based on the estimated VRs, a generalized expression for the estimated aggregated channel from the user equipment (UE) to the access point (AP) is derived using the linear minimum mean-squared-error (LMMSE) estimator, which supports SE analysis. To mitigate pilot contamination during VR detection and channel state information (CSI) estimation, a novel two-stage pilot assignment scheme is proposed. In the VR detection stage, orthogonal pilots are assigned to NF-UEs while FF-UEs remain silent, enhancing detection accuracy. In the CSI estimation stage, UE-AP cooperation is integrated with pilot assignment and power control, delivering superior SE performance compared to the group-based scheme.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"6 ","pages":"1710-1726"},"PeriodicalIF":6.3,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10891689","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Underdetermined AOA Estimation Using Non-Uniform Sub-Connected Hybrid Beamforming Systems

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2025-02-17 DOI: 10.1109/OJCOMS.2025.3542843

Yu-Chen Liu;Hsuan-Jung Su;Yasuhiro Takano

引用次数: 0

Efficient and Physically Consistent Modeling of Reconfigurable Electromagnetic Structures

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2025-02-17 DOI: 10.1109/OJCOMS.2025.3542621

Alexander Stutz-Tirri;Georg Schwan;Christoph Studer

{"title":"Efficient and Physically Consistent Modeling of Reconfigurable Electromagnetic Structures","authors":"Alexander Stutz-Tirri;Georg Schwan;Christoph Studer","doi":"10.1109/OJCOMS.2025.3542621","DOIUrl":"https://doi.org/10.1109/OJCOMS.2025.3542621","url":null,"abstract":"Reconfigurable electromagnetic structures (REMSs), such as reconfigurable reflectarrays (RRAs) or reconfigurable intelligent surfaces (RISs), hold significant potential to improve the spectral efficiency of wireless communication systems and the accuracy of wireless sensing systems. Even though several REMS modeling approaches have been proposed in recent years, the literature lacks models that are both computationally efficient and physically consistent. As a result, algorithms that control the reconfigurable elements of REMSs (e.g., the phase shifts of a RIS) are often built on simplistic and thus inaccurate models. To enable physically accurate REMS-parameter tuning, we present a new framework for efficient and physically consistent modeling of general REMSs. Our modeling method combines a circuit-theoretic approach with a new formalism that describes a REMS’s interaction with the electromagnetic (EM) waves in its far-field region. Our modeling method enables efficient computation of the entire far-field radiation pattern for arbitrary configurations of the REMS reconfigurable elements once a single full-wave EM simulation of the non-reconfigurable parts of the REMS has been performed. The predictions made by our framework align with the physical laws of classical electrodynamics and model effects caused by inter-antenna coupling, non-reciprocal materials, polarization, ohmic losses, matching losses, influence of metallic housings, noise from low-noise amplifiers, and noise arising in or received by antennas. In order to validate the efficiency and accuracy of our modeling approach, we (i) compare our modeling method to EM simulations and (ii) conduct a case study involving an RRA that enables simultaneous multiuser beam- and null-forming using a new, computationally efficient, and physically accurate parameter tuning algorithm.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"6 ","pages":"1610-1633"},"PeriodicalIF":6.3,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10891131","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143583115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Efficient Symbol Detection for Holographic MIMO Communications With Unitary Approximate Message Passing

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2025-02-17 DOI: 10.1109/OJCOMS.2025.3542860

Yabo Guo;Zhengdao Yuan;Peng Sun;Yi Song;Qinghua Guo;Zhongyong Wang

{"title":"Efficient Symbol Detection for Holographic MIMO Communications With Unitary Approximate Message Passing","authors":"Yabo Guo;Zhengdao Yuan;Peng Sun;Yi Song;Qinghua Guo;Zhongyong Wang","doi":"10.1109/OJCOMS.2025.3542860","DOIUrl":"https://doi.org/10.1109/OJCOMS.2025.3542860","url":null,"abstract":"Holographic multiple-input multiple-output (HMIMO) technology holds great promise for delivering high energy and spectral efficiency, boosting system capacity, enhancing diversity, and achieving other significant performance gains. In this work, we focus on the issue of HMIMO symbol detection, which is challenging due to the non-ideal characteristics of the HMIMO near-field (NF) channel matrix introduced by the dyadic Green’s function. These characteristics, such as high-dimensional, ill-conditioned, correlated or rank-deficient, pose considerable difficulties for effective symbol detection. To tackle this problem, we propose an efficient symbol detection algorithm by leveraging the structures of HMIMO NF channel. Specifically, by exploiting the block symmetry of the fully polarized NF channel model, we first decompose the high-dimensional signal model into multiple low-dimensional sub-models, which reduces the computational complexity of preprocessing for the channel matrix compared to its predecessor, thus permitting the design of efficient symbol detection algorithms. Then, building upon these multiple sub-signal models, we formulate the symbol detection problem within a probabilistic framework and construct the corresponding factor graph. By utilizing this factor graph and unitary approximate message passing (UAMP), we propose an efficient Bayesian symbol detection algorithm. The proposed symbol detection algorithm effectively mitigates the adverse effects caused by imperfections in the HMIMO NF polarized channel matrix. Simulation results verify the proposed method outperforms the conventional symbol detector.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"6 ","pages":"1363-1371"},"PeriodicalIF":6.3,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10891486","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143519856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

C-RAN and Optical Fronthaul Latency in Representative Network Topologies

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2025-02-17 DOI: 10.1109/OJCOMS.2025.3542479

Dave Townend;Stuart D. Walker;Neil Parkin;Anvar Tukmanov

{"title":"C-RAN and Optical Fronthaul Latency in Representative Network Topologies","authors":"Dave Townend;Stuart D. Walker;Neil Parkin;Anvar Tukmanov","doi":"10.1109/OJCOMS.2025.3542479","DOIUrl":"https://doi.org/10.1109/OJCOMS.2025.3542479","url":null,"abstract":"This paper presents a feasibility study aimed at understanding centralized radio access network (C-RAN) deployments based on incumbent distributed radio access network (D-RAN) topologies. A model is derived to allow realistic latency characteristics to be calculated for fronthaul connectivity between existing cell sites and transport network aggregation nodes (hubs) suitable for baseband centralization. Analysis has demonstrated that as much as 96% of urban cell site neighbor pairs could satisfy C-RAN fronthaul latency budgets if baseband processing were to be centralized at the local transport hub and 91% when centralized at the regional transport hub using single mode fiber. Findings suggest that the feasibility of advanced coordinated transmission schemes between such pairings could be realized based on existing real-world fiber deployment topologies. Furthermore, the proportion of sites that could support C-RAN requirements could be increased further to 97% when aggregated at local transport hubs and 95% at regional hubs where hollow core fiber transport solutions are employed.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"6 ","pages":"1438-1445"},"PeriodicalIF":6.3,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10891156","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143583288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0