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arXiv 2022年

作者： Gong, Tierui Gavriilidis, Panagiotis Ji, Ran Huang, Chongwen Alexandropoulos, George C. Wei, Li Zhang, Zhaoyang Debbah, Mérouane Poor, H. Vincent Yuen, Chau The School of Electrical and Electronics Engineering Nanyang Technological University 639798 Singapore The Department of Informatics and Telecommunications National and Kapodistrian University of Athens Athens15784 Greece The College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China Hangzhou310027 China The State Key Laboratory of Integrated Service Networks Xidian University Xi'An710071 China Khalifa University of Science and Technology Abu Dhabi127788 United Arab Emirates The CentraleSupelec University ParisSaclay Gif-sur-Yvette91192 France The Department of Electrical and Computer Engineering Princeton University PrincetonNJ08544 United States

Future wireless systems are envisioned to create an endogenously holography-capable, intelligent, and programmable radio propagation environment, that will offer unprecedented capabilities for high spectral and energy efficiency, low latency, and massive connectivity. A potential and promising technology for supporting the expected extreme requirements of the sixth-generation (6G) communication systems is the concept of the holographic multiple-input multiple-output (HMIMO), which will actualize holographic radios with reasonable power consumption and fabrication cost. The HMIMO is facilitated by ultra-thin, extremely large, and nearly continuous surfaces that incorporate reconfigurable and sub-wavelength-spaced antennas and/or metamaterials. Such surfaces comprising dense electromagnetic (EM) excited elements are capable of recording and manipulating impinging fields with utmost flexibility and precision, as well as with reduced cost and power consumption, thereby shaping arbitrary-intended EM waves with high energy efficiency. The powerful EM processing capability of HMIMO opens up the possibility of wireless communications of holographic imaging level, paving the way for signal processing techniques realized in the EM-domain, possibly in conjunction with their digital-domain counterparts. However, in spite of the significant potential, the studies on HMIMO communications are still at an initial stage, its fundamental limits remain to be unveiled, and a certain number of critical technical challenges need to be addressed. In this survey, we present a comprehensive overview of the latest advances in the HMIMO communications paradigm, with a special focus on their physical aspects, their theoretical foundations, as well as the enabling technologies for HMIMO systems. We also compare the HMIMO with existing multi-antenna technologies, especially the massive MIMO, present various promising synergies of HMIMO with current and future candidate technologies, and provide

关键词： Beamforming

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Uplink-aided high mobility downlink channel estimation over massive MIMO-OTFS system

arXiv

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arXiv 2020年

作者： Liu, Yushan Zhang, Shun Gao, Feifei Ma, Jianpeng Wang, Xianbin State Key Laboratory of Integrated Services Networks Xidian University Xian710071 China Beijing100084 China Department of Electrical and Computer Engineering Western University LondonON Canada

Although it is often used in the orthogonal frequency division multiplexing (OFDM) systems, application of massive multiple-input multiple-output (MIMO) over the orthogonal time frequency space (OTFS) modulation could suffer from enormous training overhead in high mobility scenarios. In this paper, we propose one uplink-aided high mobility downlink channel estimation scheme for the massive MIMO-OTFS networks. Specifically, we firstly formulate the time domain massive MIMO-OTFS signal model along the uplink and adopt the expectation maximization based variational Bayesian (EM-VB) framework to recover the uplink channel parameters including the angle, the delay, the Doppler frequency, and the channel gain for each physical scattering path. Correspondingly, with the help of the fast Bayesian inference, one low complex approach is constructed to overcome the bottleneck of the EM-VB. Then, we fully exploit the angle, delay and Doppler reciprocity between the uplink and the downlink and reconstruct the angles, the delays, and the Doppler frequencies for the downlink massive channels at the base station. Furthermore, we examine the downlink massive MIMO channel estimation over the delay-Doppler-angle domain. The channel dispersion of the OTFS over the delay-Doppler domain is carefully analyzed and is utilized to associate one given path with one specific delay-Doppler grid if different paths of any user have distinguished delay-Doppler signatures. Moreover, when all the paths of any user could be perfectly separated over the angle domain, we design the effective path scheduling algorithm to map different users’ data into the orthogonal delay-Doppler-angle domain resource and achieve the parallel and low complex downlink 3D channel estimation. For the general case, we adopt the least square estimator with reduced dimension to capture the downlink delay-Doppler-angle channels. Various numerical examples are presented to confirm the validity and robustness of the proposed sch

关键词： MIMO systems

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Graph-Based File Dispatching Protocol With D2D-Aided UAV-NOMA Communications in Large-Scale networks

Graph-Based File Dispatching Protocol With D2D-Aided UAV-NOM...

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IEEE Conference on Wireless Communications and Networking

作者： Baoji Wang Rongqing Zhang Chen Chen Xiang Cheng Liuqing Yan State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronics School of Electronics Engineering and Computer Science Peking University Beijing China school of Software Engineering Tongji University Shanghai China Department of Electrical & Computer Engineering Colorado State University CO USA

ISBN: (数字)9781728131061

ISBN: (纸本)9781728131078

Unmanned aerial vehicle (UAV)-assisted communications are expected to become an important part of the next generation mobile communication systems, due to the high mobility of the UAVs. Non-orthogonal multiple access (NOMA) is regarded as a rosy technology in the fifth generation (5G) mobile communication systems, since it can effectively improve the spectral efficiency. In this paper, we combine the advantages of the UAV-assisted communications and NOMA, and propose a device-to-device (D2D)-enhanced UAV-NOMA network architecture, in which D2D is introduced to increase the file dispatching efficiency. Resource reuse based on spatial reuse is also allowed to further improve the spectral efficiency. Then, we propose a graph-based file dispatching (GFD) protocol to control the interference and minimize the UAV-assisted file dispatching mission time. Simulation results verify the advantages of our proposed D2D-enhanced UAV-NOMA network architecture and the efficiency of our designed GFD protocol.

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Design and analysis of SWIPT with safety constraints

arXiv

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arXiv 2021年

作者： Psomas, Constantinos You, Minglei Liang, Kai Zheng, Gan Krikidis, Ioannis The Department of Electrical and Computer Engineering University of Cyprus Nicosia Cyprus The Department of Electrical and Electronic Engineering University of Nottingham NottinghamNG7 2RD United Kingdom The State Key Laboratory of Integrated Service Networks Xidian University Xi'an710071 China The Wolfson School of Mechanical Electrical and Manufacturing Engineering Loughborough University LeicestershireLE11 3TU United Kingdom

Simultaneous wireless information and power transfer (SWIPT) has long been proposed as a key solution for charging and communicating with low-cost and low-power devices. However, the employment of radio frequency (RF) signals for information/power transfer needs to comply with international health and safety regulations. In this paper, we provide a complete framework for the design and analysis of far-field SWIPT under safety constraints. In particular, we deal with two RF exposure regulations, namely, the specific absorption rate (SAR) and the maximum permissible exposure (MPE). The state-of-the-art regarding SAR and MPE is outlined together with a description as to how these can be modeled in the context of communication networks. We propose a deep learning approach for the design of robust beamforming subject to specific information, energy harvesting and SAR constraints. Furthermore, we present a thorough analytical study for the performance of large-scale SWIPT systems, in terms of information and energy coverage under MPE constraints. This work provides insights with regards to the optimal SWIPT design as well as the potentials from the proper development of SWIPT systems under health and safety restrictions. Copyright © 2021, The Authors. All rights reserved.

关键词： Energy transfer

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A Study on D2D Communication Based on NOMA Technology 8th

A Study on D2D Communication Based on NOMA Technology

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8th International Conference on Communications, Signal Processing, and Systems, CSPS 2019

作者： Wang, Xiumei Mao, Kai Wang, Huiru Lu, Yin College of Electronic and Optical Engineering Nanjing University of Posts and Telecommunications Nanjing210023 China School of Computer Science Nanjing University of Posts and Telecommunications Nanjing210023 China Jiangsu Key Laboratory of Wireless Communications Nanjing University of Posts and Telecommunications Nanjing210003 China Engineering Research Center of Health Service System Based on Ubiquitous Wireless Networks Nanjing University of Posts and Telecommunications Ministry of Education Nanjing China

ISBN: (纸本)9789811394089

Considering the spectrum utilization of cellular system and the overall communication capacity of the system, a device-to-device (D2D) communication system model which based on non-orthogonal multiple access technology (NOMA) is established, and the concept of "D2D group" which allows one D2D transmitter communicate with multiple D2D receivers simultaneously is introduced. In this model, D2D groups utilize NOMA technology for transmission, and multiple D2D groups can reuse the same sub-channel. Aimed at the co-channel interference caused by shared spectrum resources between cellular users and D2D groups, and the power allocation problem based on the NOMA principle in the D2D groups, an optimization problem of maximum the total rate of cellular networks is handled by two steps. Firstly, an effective resource allocation scheme based on weighted bipartite graph algorithm is proposed and then obtains the power allocation scheme of each D2D group by converting the power allocation factor into an unknown quantity. The simulation results show that the algorithm which is proposed can greatly increase the number of D2D user groups and the total speed of cellular system. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Resource allocation

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Realizing Dynamic Network Slice Resource Management based on SDN networks

Realizing Dynamic Network Slice Resource Management based on...

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2019 International Conference on Intelligent Computing and Its Emerging Applications, ICEA 2019

作者： Chen, Jen-Jee Tsai, Meng-Hsun Zhao, Liqiang Chang, Wei-Chiao Lin, Yu-Hsiang Zhou, Qianwen Lu, Yu-Zhang Tsai, Jia-Ling Cai, Yun-Zhan Department of Electrical Engineering National University of Tainan Taiwan Department of Computer Science and Information Engineering National Cheng Kung University Taiwan State Key Laboratory of Integrated Services Networks Xidian University China

ISBN: (纸本)9781728131597

It is expected that the concept of Internet of everything will be realized in 2020 because of the coming of the 5G wireless communication technology. Internet of Things (IoT) services in various fields require different types of network service features, such as mobility, security, bandwidth, latency, reliability and control strategies. In order to solve the complex requirements and provide customized services, a new network architecture is needed. To change the traditional control mode used in the traditional network architecture, the Software Defined Network (SDN) is proposed. First, SDN divides the network into the Control Plane and Data Plane and then delegates the network management authority to the controller of the control layer. This allows centralized control of connections of a large number of devices. Second, SDN can help realizing the network slicing in the aspect of network layer. With the network slicing technology proposed by 5G, it can cut the 5G network out of multiple virtual networks and each virtual network is to support the needs of diverse users. In this work, we design and develop a network slicing framework. The contributions of this article are two folds. First, through SDN technology, we develop to provide the corresponding end-to-end (E2E) network slicing for IoT applications with different requirements. Second, we develop a dynamic network slice resource scheduling and management method based on SDN to meet the services' requirements with time-varying characteristics. This is usually observed in streaming and services with bursty traffic. A prototyping system is completed. The effectiveness of the system is demonstrated by using an electronic fence application as a use case. © 2019 IEEE.

关键词： Software defined networking

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Modeling and Performance Analysis of IoT-over-LEO Satellite Systems under Realistic Operational Constraints: A Stochastic Geometry Approach

arXiv

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arXiv 2025年

作者： Dong, Wen-Yu Yang, Shaoshi Zhang, Ping Chen, Sheng School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China Key Laboratory of Universal Wireless Communications Ministry of Education Beijing100876 China Key Laboratory of Mathematics and Information Networks Ministry of Education Beijing100876 China Key Laboratory of Networking and Switching Technology Beijing100876 China School of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom

The growing demand for reliable and extensive connectivity has made low Earth orbit (LEO) satellites aided Internet of Things (IoT) systems a critical area of research. However, current theoretical studies on IoT-over-LEO satellite systems often rely on unrealistic assumptions, such as infinite terrestrial areas and omnidirectional satellite coverage, leaving significant gaps in theoretical analysis for more realistic operational constraints. These constraints involve finite terrestrial area, limited satellite coverage, Earth curvature effect, integral uplink and downlink analysis, and link-dependent interference. To address these gaps, this paper proposes a novel stochastic geometry based model to rigorously analyze the performance of IoT-over-LEO satellite systems. By adopting a binomial point process (BPP) instead of the conventional Poisson point process (PPP), our model accurately characterizes the geographical distribution of a fixed number of IoT devices in a finite terrestrial region. This modeling framework enables the derivation of distance distribution functions for both the links from the terrestrial IoT devices to the satellites (T-S) and from the satellites to the Earth station (S-ES), while also accounting for limited satellite coverage and Earth curvature effects. To realistically represent channel conditions, the Nakagami fading model is employed for the TS links to characterize diverse small-scale fading environments, while the shadowed-Rician fading model is used for the S-ES links to capture the combined effects of shadowing and dominant line-of-sight paths. Furthermore, the analysis incorporates uplink and downlink interference, ensuring a comprehensive evaluation of system performance. The accuracy and effectiveness of our theoretical framework are validated through extensive Monte Carlo simulations. These results provide insights into key performance metrics, such as coverage probability and average ergodic rate, for both individual links and

关键词： Distribution functions

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ShiftQuant: Towards Accurate and Efficient Sub-8-Bit Integer Training

引用

IEEE Transactions on Circuits and Systems for Video Technology 2025年

作者： Guo, Wenjin Liu, Donglai Xie, Weiying Li, Yunsong Ning, Xuefei Meng, Zihan Zeng, Shulin Lei, Jie Fang, Zhenman Wang, Yu Xidian University State Key Laboratory of the Integrated Services Networks Xi’an710071 China Tsinghua University Department of Electronic and Computer Engineering Beijing National Research Center for Information Science and Technology Beijing100084 China The University of TechnologySydney School of Electrical and Data Engineering UltimoNSW2007 Australia Simon Fraser University School of Engineering Science BurnabyBCV5A1S6 Canada

Neural network training is a memory- and compute-intensive task. Quantization, which enables low-bitwidth formats in training, can significantly mitigate the workload. To reduce quantization error, recent methods have developed new data formats and additional pre-processing operations on quantizers. However, it remains quite challenging to achieve high accuracy and efficiency simultaneously. In this paper, we explore sub-8-bit integer training from its essence of gradient descent optimization. Our integer training framework includes two components: ShiftQuant to realize accurate gradient estimation, and L1 normalization to smoothen the loss landscape. ShiftQuant attains performance that approaches the theoretical upper bound of group quantization. Furthermore, it liberates group quantization from inefficient memory rearrangement. The L1 normalization facilitates the implementation of fully quantized normalization layers with impressive convergence accuracy. Our method frees sub-8-bit integer training from pre-processing and supports general devices. This framework achieves negligible accuracy loss across various neural networks and tasks (0.92% on 4-bit ResNets, 0.61% on 6-bit Transformers). The prototypical implementation of ShiftQuant achieves more than 1.85×/15.3% performance improvement on CPU/GPU compared to its FP16 counterparts, and 33.9% resource consumption reduction on FPGA than the FP16 counterparts. The proposed fully-quantized L1 normalization layers achieve more than 35.54% improvement in throughout on CPU compared to traditional L2 normalization layers. Moreover, theoretical analysis verifies the advancement of our method. © 1991-2012 IEEE.

关键词： Integer programming

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Environmental Sensitivity Evaluation of Neural networks in Unmanned Vehicle Perception Module

Environmental Sensitivity Evaluation of Neural Networks in U...

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IEEE Conference on Wireless Communications and Networking

作者： Yuru Li Dongliang Duan Chen Chen Xiang Cheng Liuqing Yang State Key Laboratory of Advanced Optical Communication Systems and Networks Peking University Beijing China Department of Electrical and Computer Engineering University of Wyoming Laramie WY USA Department of Electrical and Computer Engineering Colorado State University Fort Collins CO USA

ISBN: (数字)9781728131061

ISBN: (纸本)9781728131078

For autonomous driving of unmanned vehicles in intelligent transportation systems, multi-vehicle cooperative perception supported by vehicular networks can greatly improve the accuracy and reliability of the perception decisions. Currently, the perception decisions for a single vehicle are mostly provided by neural networks. Therefore, in order to fuse the perception decisions from multiple vehicles, the credibility of the neural network outputs needs to be studied. Among various factors, the environment is one of the most important affecting vehicles' perception decisions. In this paper, we propose a new evaluation criteria for the neural networks used in the perception module of unmanned vehicles. This criterion is termed as Environmental Sensitivity (ES), indicates the sensitivity of the network to environmental changes. We design an algorithm to quantitatively measure the ES value of different perception networks based on the extracted features. Experimental results show that our algorithm can well capture the sensitivity of the network in different environments and the ES values will be helpful to the subsequent decision fusion process.

关键词：

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Customized slicing for 6G: Enforcing artificial intelligence on resource management

arXiv

引用

arXiv 2021年

作者： Guan, Wanqing Zhang, Haijun Leung, Victor C.M. Beijing Engineering and Technology Research Center for Convergence Networks and Ubiquitous Services Institute of Artificial Intelligence University of Science and Technology Beijing Beijing China State Key Laboratory of Media Convergence and Communication Communication University of China Beijing China Department of Electrical and Computer Engineering University of British Columbia VancouverBCV6T 1Z4 Canada

Next generation wireless networks are expected to support diverse vertical industries and offer countless emerging use cases. To satisfy stringent requirements of diversified services, network slicing is developed, which enables service-oriented resource allocation by tailoring the infrastructure network into multiple logical networks. However, there are still some challenges in cross-domain multi-dimensional resource management for end-to-end (E2E) slices under the dynamic and uncertain environment. Trading off the revenue and cost of resource allocation while guaranteeing service quality is significant to tenants. Therefore, this article introduces a hierarchical resource management framework, utilizing deep reinforcement learning in admission control of resource requests from different tenants and resource adjustment within admitted slices for each tenant. Particularly, we first discuss the challenges in customized resource management of 6G. Second, the motivation and background are presented to explain why artificial intelligence (AI) is applied in resource customization of multi-tenant slicing. Third, E2E resource management is decomposed into two problems, multi-dimensional resource allocation decision based on slice-level feedback and real-time slice adaption aimed at avoiding service quality degradation. Simulation results demonstrate the effectiveness of AI-based customized slicing. Finally, several significant challenges that need to be addressed in practical implementation are investigated. Copyright © 2021, The Authors. All rights reserved.

关键词： Resource allocation

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