Xiaodong Xu

Beijing University of Posts and Telecommunications

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Ping Zhang

Beijing University of Posts and Telecommunications

109

Xiaofeng Tao

Beijing University of Posts and Telecommunications

109

Shujun Han

Beijing University of Posts and Telecommunications

Chen Dong

Beijing University of Posts and Telecommunications

Mengying Sun

Beijing University of Posts and Telecommunications

Bizhu Wang

Beijing University of Posts and Telecommunications

Haotai Liang

Beijing University of Posts and Telecommunications

Xiaoqi Qin

Beijing University of Posts and Telecommunications

Tommy Svensson

Chalmers University of Technology

Shuguang Cui

Chinese University of Hong Kong, Shenzhen

Cooperative Institutions

Beijing University of Posts and Telecommunications

204

Chinese Academy of Sciences

Tsinghua University

Southeast University

Zhejiang University

State Key Laboratory of Networking and Switching Technology

University of Science and Technology of China

Peng Cheng Laboratory

Peking University

Sun Yat-sen University

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Energy‐efficient active offloading with collaboration communication and power allocations for heterogeneous ultradense networks

Transactions on Emerging Telecommunications Technologies (2017)

Xiaodong Xu Chunjing Yuan Jianhui Li Xiaofeng Tao

Abstract For the booming capacity requirements for the 5th generation mobile communication system (5G) to be supported, heterogeneous ultradense network (H‐UDN) is believed as a promising solution. The corresponding standardization and filed deployments of H‐UDN have been conducted. But the lower energy efficiency and severer interferences caused by densely deployed base stations (BSs) are still the 2 main obstacles for H‐UDNs. This paper addresses on above challenges and proposes active green offloading (AGO) strategy with collaboration communications to improve the system energy efficiency and decrease interferences. We propose the auction theory–based AGO for energy efficient objectives, which provides flexible user associations for H‐UDNs. Furthermore, aiming to guarantee the offloaded user performances and decrease interferences, we explore the collaboration communications with introducing the strongest interfering BS into the coordinated transmission BS set. This will change the interference signal into useful signal and then decreases interferences. Moreover, we introduce the supermodel game–based power allocation for further improvements of system energy efficiency after collaboration communications. Simulation results evaluate the 3‐stage improvements of system energy efficiency achieved by AGO, collaboration communications, and power allocation separately, which proves the benefits of AGO in H‐UDNs.

Cellular communication

10.1002/ett.3152

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Citations (4)

Multi-Level Feature Transmission in Dynamic Channels: A Semantic Knowledge Base and Deep Reinforcement Learning-Enabled Approach

IEEE Internet of Things Journal (2024)

Xiangyu Gao Hao Yin Yaping Sun Dongyu Wei Xiaodong Xu

Feature (linguistics)

Base (topology)

10.1109/jiot.2024.3511592

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Syntactic Prediction in Sentence Reading: Evidence from Eye Movements

Acta Psychologica Sinica (2010)

Qingrong Chen Dingliang Tan Zhu DENG Xiaodong Xu

10.3724/sp.j.1041.2010.00672

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Citations (5)

Performance Analysis of MDMA-Based Cooperative MRC Networks with Relays in Dissimilar Rayleigh Fading Channels

arXiv (Cornell University) (2023)

Lei Teng Wannian An Dong Chen Xiaoqi Qin Xiaodong Xu

Multiple access technology is a key technology in various generations of wireless communication systems. As a potential multiple access technology for the next generation wireless communication systems, model division multiple access (MDMA) technology improves spectrum efficiency and feasibility regions. This implies that the MDMA scheme can achieve greater performance gains compared to traditional schemes. Relayassisted cooperative networks, as a infrastructure of wireless communication, can effectively utilize resources and improve performance when MDMA is applied. In this paper, a communication relay cooperative network based on MDMA in dissimilar rayleigh fading channels is proposed, which consists of two source nodes, any number of decode-and-forward (DF) relay nodes, and one destination node, as well as using the maximal ratio combining (MRC) at the destination to combine the signals received from the source and relays. By applying the state transition matrix (STM) and moment generating function (MGF), closed-form analytical solutions for outage probability and resource utilization efficiency are derived. Theoretical and simulation results are conducted to verify the validity of the theoretical analysis.

10.48550/arxiv.2311.15593

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Knowledge-enhanced semantic communication system with OFDM transmissions

Science China Information Sciences (2023)

Xiaodong Xu Huachao Xiong Yining Wang Yue Che Shujun Han

Semantic compression

10.1007/s11432-022-3624-4

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Citations (12)

Efficient Sensor Scheduling Strategy Based on Spatio-Temporal Scope Information Model

Sensors (2023)

Yang Liu Chen Dong Xiaoqi Qin Xiaodong Xu

In this paper, based on the information entropy and spatio-temporal correlation of sensing nodes in the Internet of Things (IoT), a Spatio-temporal Scope Information Model (SSIM) is proposed to quantify the scope of the valuable information of sensor data. Specifically, the valuable information of sensor data decays with space and time, which can be used to guide the system to make efficient sensor activation scheduling decisions for regional sensing accuracy. A simple sensing and monitoring system with three sensor nodes is investigated in this paper, and a single-step scheduling decision mechanism is proposed for the optimization problem of maximizing valuable information acquisition and efficient sensor activation scheduling in the sensed region. Regarding the above mechanism, the scheduling results and approximate numerical bounds on the node layout between different scheduling results are obtained through theoretical analyses, which are consistent with simulation. In addition, a long-term decision mechanism is also proposed for the aforementioned optimization issues, where the scheduling results with different node layouts are derived by modeling as a Markov decision process and utilizing the Q-learning algorithm. Concerning the above two mechanisms, the performance of both is verified by conducting experiments using the relative humidity dataset; furthermore, the differences in performance and limitations of the model are discussed and summarized.

10.3390/s23125437

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Citations (2)

An Improved Collaborative Algorithm with Artificial Neural Network in Multidisciplinary Design Optimization of AUV

Xiaodong Xu Hongkai Li

Multidisciplinary Design Optimization (MDO) is the most active field in the design of current complex system engineering, which is possessed with such two difficulties as subsystem information exchange and analytical and computational complexity of systems. Therefore, an improved collaborative optimization algorithm based on ANN (artificial neural network) response surface was proposed dependent on the consistency constraint algorithm and concurrent subspace algorithm. As an optimization method with secondary structure, it satisfied only local constraints in discipline layer, but provided a coordinated mechanism for interdisciplinary conflict in system layer. Finally, it was applied in the multidisciplinary design optimization of autonomous underwater vehicle (AUV). As shown from the result, the MDO convergence stability and reliability of low resistance, low noise and high maneuvering performance of the AUV shape can be ensured by the improved collaborative optimization algorithm, thus verifying the effectiveness of the algorithm.

Multidisciplinary design optimization

10.20944/preprints201706.0024.v1

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COMPUTER-AID-DESIGN AND DRAWING IN ROUND BREACH DESIGN

Xiaodong Xu

With the technique of the computar aided design (CAD) and drawing applied to the design of the round breach, some key problems in breach design such as the determination of the rise per tooth and the pitch of teeth (namely the type of the chip flute) have been successfully solved.Some of the designs are optimized. The tool diagram is drawn by means of AUTOCAD drawing software package, which possesses a strong drawing function. The software is characterized by the use of many programming techniques, the comprehensive design and convenient operation. The application of this software has considerably shortened the design cycle of the round breach design and the accuracy is guaranteed as well.

Source

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Analytical Modeling for Caching Enabled UE-to-Network Relay in Cellular Networks

IEEE Access (2018)

Xiaodong Xu Jinghui Wang Xiaofeng Tao

User equipment (UE)-to-network relay is a promising approach to assist UEs, especially cell-edge UEs, to obtain a better connectivity experience. By leveraging the proximity communication, specific UEs can serve as relays to assist transmissions between UEs and base stations (BSs). However, it also imposes a significant challenge on backhaul pressure. On the other hand, caching is considered as an efficient way to reduce data traffic and alleviate the burden of the backhaul networks. In this paper, we jointly consider UE-to-network relay and caching. We propose a tractable analytical framework to model caching enabled UE-to-network relay in cellular networks. Besides, we employ a four-level hierarchical mode selection scheme, where a request is satisfied with priority order by: 1) self-request mode, 2) device request mode, 3) UE-to-network relay mode, and 4) cellular request mode. Based on stochastic geometry, we derive tractable expressions for performance metrics, such as cache hit probability, successful transmission probability, and cache-aided throughput. The accuracy of analytical results is validated by simulations with the 3rd generation partnership project evaluation methodology. The results also show that the distance threshold should be set carefully to satisfy user communication requirements. Moreover, we find that the UE intensity and content popularity jointly have significant impacts on caching policy choices.

Cellular radio

10.1109/access.2018.2868412

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Citations (10)

Accelerating Wireless Federated Learning with Adaptive Scheduling over Heterogeneous Devices

IEEE Internet of Things Journal (2023)

Y. Li Xiaoqi Qin Kaifeng Han Nan Ma Xiaodong Xu

As the proliferation of sophisticated task models in 5G empowered digital twin, it yields significant demands on fast and accurate model training over resource-limited wireless networks. It is vital to investigate how to accelerate the training process based on the salient features of practical systems, including heterogeneous data distributions and system resources both across devices and over time. To study the non-trivial coupling between participating device selection and their appropriate training parameters, we first characterize the dependency of convergence performance bound on system parameters, i.e., statistical structure of local data, mini-batch size and gradient quantization level. Based on the theoretical analysis, a training efficiency optimization problem is formulated subject to heterogeneous communication and computation capabilities among devices. To realize online control of training parameters, we propose an adaptive batch-size assisted device scheduling strategy, which prioritizes the selection of devices that offer good data utility and dynamically adjust their mini-batch sizes and gradient quantization levels adapting to network conditions. Simulation results demonstrate our proposed strategy can effectively speed up the training process as compared with benchmark algorithms.

10.1109/jiot.2023.3292494

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Citations (2)