- Advanced MIMO Systems Optimization
- Advanced Wireless Network Optimization
- Cooperative Communication and Network Coding
- Wireless Networks and Protocols
- Millimeter-Wave Propagation and Modeling
- Energy Efficient Wireless Sensor Networks
- Indoor and Outdoor Localization Technologies
- Advanced Wireless Communication Techniques
- Advanced Optical Network Technologies
- Full-Duplex Wireless Communications
- Advanced Wireless Communication Technologies
- Synthesis and Reactions of Organic Compounds
- Advanced Optical Sensing Technologies
- Software-Defined Networks and 5G
- Speech and Audio Processing
- Wireless Body Area Networks
- Opportunistic and Delay-Tolerant Networks
- Sparse and Compressive Sensing Techniques
- Acute Myeloid Leukemia Research
- Mobile Ad Hoc Networks
- Network Traffic and Congestion Control
- Quinazolinone synthesis and applications
- IoT-based Smart Home Systems
- Vehicular Ad Hoc Networks (VANETs)
- Synthesis and biological activity
Huawei Technologies (China)
2024
Beijing University of Posts and Telecommunications
2008-2019
National Chengchi University
2008
With recent advancements, the wireless local area network (WLAN) or fidelity (Wi-Fi) technology has been successfully utilized to realize sensing functionalities such as detection, localization, and recognition. However, WLANs standards are developed mainly for purpose of communication, thus may not be able meet stringent requirements emerging applications. To resolve this issue, a new Task Group (TG), namely IEEE 802.11bf, established by 802.11 working group, with objective creating...
With recent advancements, the wireless local area network (WLAN) or fidelity (Wi-Fi) technology has been successfully utilized to realize sensing functionalities such as detection, localization, and recognition. However, WLANs standards are developed mainly for purpose of communication, thus may not be able meet stringent requirements emerging applications. To resolve this issue, a new Task Group (TG), namely IEEE 802.11bf, established by 802.11 working group, with objective creating...
In recent years, a new concept of network architecture with control/data plane separation is introduced to the future network, which can effectively improve mobility robustness and reduce handover failure by providing data services under umbrella macro cell coverage layer. However, in ultra dense frequent handovers would still introduce huge signaling exchanges latencies. this paper, we propose universal predictive management scheme for urban ultra-dense networks speed up process. We utilize...
In this letter, we propose to identify line-of-sight (LOS) and non-line-of-sight (NLOS) conditions based on a convolutional neural network (CNN) in urban 3-D massive MIMO systems. The proposed method includes two parts. the first part, given that paths spread differently time domain, combine normalized tap energy distribution each antenna utilizing sounding reference signals construct coordinated matrix. second train CNN analyze matrix LOS/NLOS conditions. A channel model is considered our...
The data traffic is exploding dramatically, 1000-fold increase expected in this decade. Ultra-dense heterogeneous network (HetNet) considered as a promising track to address challenge. In order mitigate the severe interference between dense deployed small cells and improve cell edge users' performances, cluster-based spectrum allocation coordinated multi-point transmission (CoMP) are generally discussed. paper, we propose hybrid access strategy using non-cooperative game theory for...
The emerging IEEE 802.11s standard draft is a key technology of next-generation wireless networks. It can provide end users with broadband access fast deployment, low cost, large coverage, and robust architecture. Recently, has defined hybrid routing as default protocol. When tree-based topology enabled, different mesh points (MPs) (MAPs) will achieve loads according to their hops the root, while previous discussions assumed that all stations in network have same load. In this paper, we...
In the letter, we propose to estimate uplink channel in urban 3-D MIMO systems utilizing denoising convolutional neuron networks (DnCNNs), which is recently proposed and has succeeded tackling with image tasks computer vision. To process complex numbers estimation (CE), based on DnCNN (CDnCNN), a variant of DnCNN, simplified (S-DnCNN) CE. S-DnCNN CE includes two major parts. first part, frequency impulses are rearranged form feature maps. second considering practical latency constraints,...
Channel correlation between users can significantly affect the system performance in multiuser multiple-input multiple-output (MU-MIMO) systems. To prevent highly correlated from being scheduled same radio blocks (RBs), these are separated into different groups. Most of related papers focus on how to separate according their channel correlations. However, group number also plays an important role and this is not investigated those papers. Therefore, paper we investigate MU-MIMO systems...
In time-division duplex (TDD) massive MIMO systems, multi-user (MU) grouping and scheduling is a key technology to improve spectral efficiency. However, in practice limited sounding reference signals (SRS) restrict the channel information acquired by base station (BS), which degrades performance of MU grouping. To solve this problem, joint scheme based on state signal (CSI-RS) proposed. Our includes two processes. first process, we propose metric measure accuracy users estimated several...
The user selection method based on chordal distance is widely used in multiuser multiple‐input multiple‐output (MU‐MIMO) systems with block diagonalisation. It has throughput close to the capacity low complexity. In this Letter, a higher and much lower complexity proposed. To investigate performance more practical channel scenario, 3D MIMO channels are simulations. Compared existing algorithms, proposed achieves good lowest order.
Separating highly correlated users can reduce the loss caused by spatial correlation (SC) in multiuser multiple-input multiple-output (MU-MIMO) systems. However, few accurate analyses of SC have been conducted. In this study, we define signal-to-interference-plus-noise ratio (SINR) to characterize it single-output (MU-MISO) systems, and use coefficient (CoC) describe between users. A formula is deduced show relation SINR CoC. Based on relation, propose a user selection method that utilizes...
In multi-user multiple-input multiple-output (MU-MIMO) systems, user grouping methods have been proposed to improve network capacity. Most of the related papers focus on separating users according their channel conditions and correlations between users. However, packet size also has a significant impact system performance, especially in Internet Things (IoT) systems where there are lots with small-sized packets, this is not investigated those papers. Therefore, we propose low complexity...
With recent advancements, the wireless local area network (WLAN) or fidelity (Wi-Fi) technology has been successfully utilized to realize sensing functionalities such as detection, localization, and recognition. However, WLANs standards are developed mainly for purpose of communication, thus may not be able meet stringent requirements in emerging applications. To resolve this issue, a new Task Group (TG), namely IEEE 802.11bf, established by 802.11 working group, with objective creating...
User grouping and resource allocation can significantly improve the performance of massive multi-input multi-output (MIMO) systems. Correlation based user is a low-complexity method to avoid users high inter interference (IUI) reusing same time-frequency resource. However, it seldom proposed in uplink MIMO In this paper, correlation scheduling algorithm proposed. algorithm, channel combining with transmit power utilized estimate IUI, RB number considered control process LTE-A. Proportional...
Dual connectivity is a promising technology to tackle the new challenges and demands in wireless communication. The architecture of dual with idea control plane user split has been introduced LTE Release 12 enhance throughput mobility robustness. However, current may raise some problems on power control, due uncoordinated scheduler Master eNB (MeNB) Secondary (SeNB). In this paper, aim reducing co-channel interference improving system throughput, we propose novel uplink scheme which...
In ultra dense networks, interference management remains an essentially topic to alleviate the severe brought in by densely deployed small cell access points. Despite traditional spectrum resource allocation scheme optimize network throughput under threshold, users' QoS satisfaction has emerged as another practical metric, which brings new challenges for management. this paper, we model optimization problem a max-min fairness with respect user's rate and propose fair jointly considering...
Enhanced inter-cell interference coordination (e-ICIC) is a technique for improving the performance of small cells in LTE heterogeneous networks. By using almost blank subframes (ABSs), range extension (RE) UEs can be improved. However, due to different user numbers and needs cells, configuration ABSs macro cell may not appropriate each deployed it. This disadvantage affect improvement system performance, especially when number increases. To further improve this paper we propose centralized...
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