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  1. Article ; Online: Complete Hydatidiform Mole.

    Liu, Yuanwei / Hao, Peipei

    The New England journal of medicine

    2023  Volume 389, Issue 18, Page(s) 1708

    MeSH term(s) Female ; Humans ; Pregnancy ; Hydatidiform Mole/complications ; Hydatidiform Mole/diagnostic imaging ; Uterine Neoplasms/complications ; Uterine Neoplasms/diagnostic imaging
    Language English
    Publishing date 2023-10-28
    Publishing country United States
    Document type Case Reports ; Journal Article
    ZDB-ID 207154-x
    ISSN 1533-4406 ; 0028-4793
    ISSN (online) 1533-4406
    ISSN 0028-4793
    DOI 10.1056/NEJMicm2304005
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book ; Online: Autosen

    Gao, Qian / Hao, Yanling / Liu, Yuanwei

    improving automatic wifi human sensing through cross-modal autoencoder

    2024  

    Abstract: WiFi human sensing is highly regarded for its low-cost and privacy advantages in recognizing human activities. However, its effectiveness is largely confined to controlled, single-user, line-of-sight settings, limited by data collection complexities and ... ...

    Abstract WiFi human sensing is highly regarded for its low-cost and privacy advantages in recognizing human activities. However, its effectiveness is largely confined to controlled, single-user, line-of-sight settings, limited by data collection complexities and the scarcity of labeled datasets. Traditional cross-modal methods, aimed at mitigating these limitations by enabling self-supervised learning without labeled data, struggle to extract meaningful features from amplitude-phase combinations. In response, we introduce AutoSen, an innovative automatic WiFi sensing solution that departs from conventional approaches. AutoSen establishes a direct link between amplitude and phase through automated cross-modal autoencoder learning. This autoencoder efficiently extracts valuable features from unlabeled CSI data, encompassing amplitude and phase information while eliminating their respective unique noises. These features are then leveraged for specific tasks using few-shot learning techniques. AutoSen's performance is rigorously evaluated on a publicly accessible benchmark dataset, demonstrating its exceptional capabilities in automatic WiFi sensing through the extraction of comprehensive cross-modal features.
    Keywords Electrical Engineering and Systems Science - Signal Processing ; Computer Science - Human-Computer Interaction ; Computer Science - Machine Learning
    Subject code 006
    Publishing date 2024-01-08
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Book ; Online: Reconfigurable Intelligent Surface Assisted NOMA Empowered Integrated Sensing and Communication

    Zuo, Jiakuo / Liu, Yuanwei

    2022  

    Abstract: This paper exploits the potential of reconfigurable intelligent surface (RIS) to improve radar sensing in a non-orthogonal multiple access (NOMA) empowered integrated sensing and communication (NOMA-ISAC) network. The objective is to maximize the minimum ...

    Abstract This paper exploits the potential of reconfigurable intelligent surface (RIS) to improve radar sensing in a non-orthogonal multiple access (NOMA) empowered integrated sensing and communication (NOMA-ISAC) network. The objective is to maximize the minimum radar beampattern gain by jointly optimizing the active beamforming, power allocation coefficients and passive beamforming. To tackle the formulated non-convex problem, we propose an efficient joint optimization algorithm by invoking alternating optimization, successive convex approximation (SCA) and sequential rank-one constraint relaxation (SRCR) algorithm. Numerical results show that the proposed RIS assisted NOMA-ISAC system, with the aid of proposed scheme, outperforms the RIS assisted ISAC system without NOMA.
    Keywords Computer Science - Information Theory ; Electrical Engineering and Systems Science - Signal Processing
    Publishing date 2022-08-09
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: A case of misdiagnosed leiomyoma of the vulva: A case report.

    He, Jing / Liu, Wenhua / Wu, Xiaoyu / Li, Dingheng / Liu, Yuanwei

    Medicine

    2023  Volume 102, Issue 6, Page(s) e32868

    Abstract: Rationale: Leiomyoma of the vulva is a rare, benign mass that is present on the vulva. Most commonly, they are described as painless, well-circumscribed, solitary tumors that are misdiagnosed as Bartholin cysts before surgery.: Patient concerns: A 45- ...

    Abstract Rationale: Leiomyoma of the vulva is a rare, benign mass that is present on the vulva. Most commonly, they are described as painless, well-circumscribed, solitary tumors that are misdiagnosed as Bartholin cysts before surgery.
    Patient concerns: A 45-year-old woman presented with a case of vulvar leiomyoma misdiagnosed as Bartholin cyst preoperatively. A solitary swelling mass measuring 3 cm × 2 cm was found in the left labia majora at the Bartholin gland site on physical examination.
    Diagnoses: A vulvar mass extent and vascularity may be determined by imaging. A color doppler flow imaging of the posterior vaginal wall revealed abundant blood flow.
    Intervention: To confirm vulvar leiomyoma, surgery and histopathology were performed.
    Outcome: After 2 months of follow-up, there were no signs of recurrence in the patient.
    Lessons: Rare vulvar leiomyomas are often mistaken for Bartholin's cysts. It is also difficult to distinguish benign from malignant forms, making vulvar leiomyoma a difficult diagnosis. As there are a few techniques used to differentiate between the nature of the tumor, excisional biopsy seems to be the best current procedure employed in addition to being the treatment of choice for such tumors.
    MeSH term(s) Female ; Humans ; Middle Aged ; Diagnosis, Differential ; Vulva/pathology ; Leiomyoma/diagnosis ; Leiomyoma/surgery ; Leiomyoma/pathology ; Vulvar Neoplasms/diagnosis ; Vulvar Neoplasms/surgery ; Vulvar Neoplasms/pathology ; Cysts/pathology ; Diagnostic Errors
    Language English
    Publishing date 2023-01-05
    Publishing country United States
    Document type Case Reports ; Journal Article
    ZDB-ID 80184-7
    ISSN 1536-5964 ; 0025-7974
    ISSN (online) 1536-5964
    ISSN 0025-7974
    DOI 10.1097/MD.0000000000032868
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Book ; Online: Revealing the Impact of SIC in NOMA-ISAC

    Ouyang, Chongjun / Liu, Yuanwei / Yang, Hongwen

    2023  

    Abstract: The impact of successive interference cancellation (SIC) in non-orthogonal multiple access integrated sensing and communications (NOMA-ISAC) is analyzed. A two-stage SIC-based framework is proposed to deal with the inter-communication user and inter- ... ...

    Abstract The impact of successive interference cancellation (SIC) in non-orthogonal multiple access integrated sensing and communications (NOMA-ISAC) is analyzed. A two-stage SIC-based framework is proposed to deal with the inter-communication user and inter-functionality interferences. The performance of sensing and communications (S\&C) is analyzed for two SIC orders, i.e., the communications-centric SIC and the sensing-centric SIC. For each design, diversity orders, high signal-to-noise ratio (SNR) slopes, and high-SNR power offsets of the sensing rate (SR) and communication rate (CR) are derived as insights. Analytical results indicate that i) the main influence of SIC order on the SR and CR lies in the high-SNR power offsets; ii) ISAC provides more degrees of freedom than frequency-division S\&C (FDSAC). Numerical results show that the SR-CR region of ISAC entirely covers that of FDSAC.

    Comment: 5 pages
    Keywords Computer Science - Information Theory ; Electrical Engineering and Systems Science - Signal Processing
    Subject code 003
    Publishing date 2023-02-07
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Book ; Online: STARS-ISAC

    Zhang, Zheng / Liu, Yuanwei / Wang, Zhaolin / Chen, Jian

    How Many Sensors Do We Need?

    2023  

    Abstract: A simultaneously transmitting and reflecting surface (STARS) enabled integrated sensing and communications (ISAC) framework is proposed, where a novel bi-directional sensing-STARS architecture is devised to facilitate the full-space communication and ... ...

    Abstract A simultaneously transmitting and reflecting surface (STARS) enabled integrated sensing and communications (ISAC) framework is proposed, where a novel bi-directional sensing-STARS architecture is devised to facilitate the full-space communication and sensing. Based on the proposed framework, a joint optimization problem is formulated, where the Cramer-Rao bound (CRB) for estimating the 2-dimension direction-of-arrival of the sensing target is minimized. Two cases are considered for sensing performance enhancement. 1) For the two-user case, an alternating optimization algorithm is proposed. In particular, the maximum number of deployable sensors is obtained in the closed-form expressions. 2) For the multi-user case, an extended CRB (ECRB) metric is proposed to characterize the impact of the number of sensors on the sensing performance. Based on the proposed metric, a novel penalty-based double-loop (PDL) algorithm is proposed to solve the ECRB minimization problem. To tackle the coupling of the ECRB, a general decoupling approach is proposed to convert it to a tractable weighted linear summation form. Simulation results reveal that 1) the proposed PDL algorithm can achieve a near-optimal performance with consideration of sensor deployment; 2) without violating the communication under the quality of service requirements, reducing the receive antennas at the BS does not deteriorate the sensing performance; and 3) it is preferable to deploy more passive elements than sensors in terms of achieving optimal sensing performance

    Comment: journal paper
    Keywords Computer Science - Information Theory ; Electrical Engineering and Systems Science - Signal Processing
    Subject code 006
    Publishing date 2023-01-09
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Book ; Online: Non-Orthogonal Multiple Access For Near-Field Communications

    Zuo, Jiakuo / Mu, Xidong / Liu, Yuanwei

    2023  

    Abstract: The novel concept of near-field non-orthogonal multiple access (NF-NOMA) communications is proposed. The near-filed beamfocusing enables NOMA to be carried out in both angular and distance domains. Two novel frameworks are proposed, namely, single- ... ...

    Abstract The novel concept of near-field non-orthogonal multiple access (NF-NOMA) communications is proposed. The near-filed beamfocusing enables NOMA to be carried out in both angular and distance domains. Two novel frameworks are proposed, namely, single-location-beamfocusing NF-NOMA (SLB-NF-NOMA) and multiple-location-beamfocusing NF-NOMA (MLB-NF-NOMA). 1) For SLB-NF-NOMA, two NOMA users in the same angular direction with distinct quality of service (QoS) requirements can be grouped into one cluster. The hybrid beamformer design and power allocation problem is formulated to maximize the sum rate of the users with higher QoS (H-QoS) requirements. To solve this problem, the analog beamformer is first designed to focus the energy on the H-QoS users and the zero-forcing (ZF) digital beamformer is employed. Then, the optimal power allocation is obtained. 2) For MLB-NF-NOMA, the two NOMA users in the same cluster can have different angular directions. The analog beamformer is first designed to focus the energy on both two NOMA users. Then, a singular value decomposition (SVD) based ZF (SVD-ZF) digital beamformer is designed. Furthermore, a novel antenna allocation algorithm is proposed. Finally, a suboptimal power allocation algorithm is proposed. Numerical results demonstrate that the NF-NOMA can achieve a higher spectral efficiency and provide a higher flexibility than conventional far-field NOMA.
    Keywords Computer Science - Information Theory ; Electrical Engineering and Systems Science - Signal Processing
    Subject code 003
    Publishing date 2023-04-25
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Book ; Online: Active-Sensing-Based Beam Alignment for Near Field MIMO Communications

    Jiang, Hao / Wang, Zhaolin / Liu, Yuanwei

    2023  

    Abstract: An active-sensing-based learning algorithm is proposed to solve the near-field beam alignment problem with the aid of wavenumber-domain transform matrices (WTMs). Specifically, WTMs can transform the antenna-domain channel into a sparse representation in ...

    Abstract An active-sensing-based learning algorithm is proposed to solve the near-field beam alignment problem with the aid of wavenumber-domain transform matrices (WTMs). Specifically, WTMs can transform the antenna-domain channel into a sparse representation in the wavenumber domain. The dimensions of WTMs can be further reduced by exploiting the dominance of line-of-sight (LoS) links. By employing these lower-dimensional WTMs as mapping functions, the active-sensing-based algorithm is executed in the wavenumber domain, resulting in an acceleration of convergence. Compared with the codebook-based beam alignment methods, the proposed method finds the optimal beam pair in a ping-pong fashion, thus avoiding high training overheads caused by beam sweeping. Finally, the numerical results validate the effectiveness of the proposed method.
    Keywords Computer Science - Information Theory ; Electrical Engineering and Systems Science - Signal Processing
    Publishing date 2023-11-26
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Book ; Online: Beamfocusing Optimization for Near-Field Wideband Multi-User Communications

    Wang, Zhaolin / Mu, Xidong / Liu, Yuanwei

    2023  

    Abstract: A near-field wideband communication system is studied, wherein a base station (BS) employs an extremely large-scale antenna array (ELAA) to serve multiple users situated within its near-field region. To facilitate the near-field beamfocusing and mitigate ...

    Abstract A near-field wideband communication system is studied, wherein a base station (BS) employs an extremely large-scale antenna array (ELAA) to serve multiple users situated within its near-field region. To facilitate the near-field beamfocusing and mitigate the wideband beam split, true-time delayer (TTD)-based hybrid beamforming architectures are employed at the BS. Apart from the fully-connected TTD-based architecture, a new sub-connected TTD-based architecture is proposed for enhancing energy efficiency. Three wideband beamfocusing optimization approaches are proposed to maximize spectral efficiency for both architectures. 1) Fully-digital approximation (FDA) approach: In this approach, the TTD-based hybrid beamformers are optimized to approximate the optimal fully-digital beamformers using block coordinate descent. 2) Penalty-based FDA approach: In this approach, the penalty method is leveraged in the FDA approach to guarantee the convergence to a stationary point of the spectral maximization problem. 3) Heuristic two-stage (HTS) approach: In this approach, the closed-form TTD-based analog beamformers are first designed based on the outcomes of near-field beam training and the piecewise-near-field approximation. Subsequently, the low-dimensional digital beamformer is optimized using knowledge of the low-dimensional equivalent channels, resulting in reduced computational complexity and channel estimation complexity. Our numerical results unveil that 1) the proposed approaches effectively eliminate the near-field beam split effect, and 2) compared to the fully-connected architecture, the proposed sub-connected architecture exhibits higher energy efficiency and imposes fewer hardware limitations on TTDs and system bandwidth.

    Comment: 30 pages, 11 figures
    Keywords Computer Science - Information Theory ; Electrical Engineering and Systems Science - Signal Processing
    Publishing date 2023-06-29
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Book ; Online: Hybrid NOMA for STAR-RIS Enhanced Communication

    Lei, Jiayi / Zhang, Tiankui / Liu, Yuanwei

    2023  

    Abstract: In this paper, a hybrid non-orthogonal multiple access (NOMA) framework for the simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) enhanced cell-edge communication is investigated. Specifically, one transmitted user ... ...

    Abstract In this paper, a hybrid non-orthogonal multiple access (NOMA) framework for the simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) enhanced cell-edge communication is investigated. Specifically, one transmitted user and one reflected user are paired as one NOMA-pair, while multiple NOMA-pairs are served via time division multiple access (TDMA). The objective is to maximize the minimum downlink rate by jointly optimizing the user pairing, decoding order, passive beamforming, power and time allocation. A novel two-layer iterative algorithm is proposed to solve the highly coupled problem. Simulation results show that: 1) the proposed framework outperforms the conventional reflecting-only-RIS-based and the OMA-based frameworks; 2) the beamforming design and power allocation dominate the achieved performance; 3) increasing the number of passive elements and shortening the distance between BS and STAR-RIS are two effective ways to further improve the performance.
    Keywords Computer Science - Information Theory ; Computer Science - Emerging Technologies
    Subject code 003
    Publishing date 2023-07-05
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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