2023 IEEE Wireless Communications and Networking Conference (WCNC)最新文献_第5页

Empirical study on 5G NR Adjacent Channel Coexistence 5G NR相邻信道共存的实证研究

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10119074

J. Caro, J. Ansari, Ahmed Raza Sayyed, P. D. Bruin, J. Sachs, Niels König, R. Schmitt

引用次数: 0

A Novel 3D Geometry-Based Channel Model for IRS-aided V2V Communication Systems in Urban Traffic Merging Areas 基于三维几何的城市交通合流区irs辅助V2V通信系统通道模型

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10119033

Shaoyi Liu, Nan Ma, Yamao Zhao, Maotao Li

{"title":"A Novel 3D Geometry-Based Channel Model for IRS-aided V2V Communication Systems in Urban Traffic Merging Areas","authors":"Shaoyi Liu, Nan Ma, Yamao Zhao, Maotao Li","doi":"10.1109/WCNC55385.2023.10119033","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10119033","url":null,"abstract":"This paper proposes a novel three-dimensional (3D) geometry-based channel model for vehicle-to-vehicle (V2V) communication systems aided by intelligent reflecting surface (IRS) in urban traffic merging areas. Firstly, to accurately describe the scenario, the channel model consisting of a multiple truncated confocal ellipsoid and a truncated ellipsoid is established, and the corresponding closed-form expressions of channel impulse responses (CIRs) are derived under spherical wavefront assumption. Meanwhile, three different phase reflection configurations of IRS are considered when channel modeling. Then, the impacts of vehicle speed, the number of IRS cells, and different IRS phase shift assumptions on the proposed model channel are intensively investigated via key statistical properties, e.g., the temporal auto-correlation function (ACF) and spatial cross-correlation function (CCF). Finally, simulation results show that our proposed channel model can capture the IRS-aided V2V channel characteristics in urban traffic merging areas, and prove that the additional IRS makes the channel more controllable and stable, which results in a promising prospect in V2V communication systems.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121969050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Capacity-Driven End-to-end Superposition Coding Optimization for NOMA with Finite-alphabet Inputs 有限字母输入下NOMA的容量驱动端到端叠加编码优化

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118911

Jinpo Fan, Zhuo Sun, Gang Yue, Jie Yu

{"title":"Capacity-Driven End-to-end Superposition Coding Optimization for NOMA with Finite-alphabet Inputs","authors":"Jinpo Fan, Zhuo Sun, Gang Yue, Jie Yu","doi":"10.1109/WCNC55385.2023.10118911","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118911","url":null,"abstract":"End-to-end learning communication provides an exciting new approach to physical layer design, which inspired us to design the Non-orthogonal multiple access (NOMA) system with superposition coding guided by information theory. Unlike assuming continuous Gaussian inputs in most NOMA systems, we consider actual finite-alphabet inputs at two transmitters. Due to the lack of capacity region under finite cardinality, optimizing design is challenging. In this work, we first give a closed-form expression for the conditional mutual information to define the capacity region of NOMA with finite-alphabet inputs. To simplify the conditional mutual information, we then derive a tight lower bound on mutual information, which is necessary to achieve an accurate and consistent mutual information estimator. Finally, we propose an end-to-end learning model for NOMA that considers maximizing mutual information and bit error rate (BER) constraints to achieve optimal encoders and decoders. Simulation results show that the proposed scheme achieves the capacity region of NOMA with finite-alphabet inputs. It also significantly improves the bit error performance of the system than prior work.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121969734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IRS-Aided Uplink Multi-Antenna NOMA Systems With Non-Ideal GSIC 非理想GSIC的红外辅助上行多天线NOMA系统

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10119020

Guoning Wang, Hong Wang, Yaru Fu

引用次数: 0

Learning to Decode Protograph LDPC Codes over Fadings with Imperfect CSIs 学习在不完全csi的衰落上解码Protograph LDPC码

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118642

Chen Yang, Yanan Zhou, Zhongwei Si, Jincheng Dai

{"title":"Learning to Decode Protograph LDPC Codes over Fadings with Imperfect CSIs","authors":"Chen Yang, Yanan Zhou, Zhongwei Si, Jincheng Dai","doi":"10.1109/WCNC55385.2023.10118642","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118642","url":null,"abstract":"Recently a number of low-density parity-check (LDPC) decoding algorithms based on deep learning have been proposed in the literature. However, most of the work has been targeted for additive white Gaussian noise (AWGN) channels. For more practical scenarios, in this paper we investigate the neural-network based min-sum (MS) decoding for protograph LDPC codes in fading channels. Since the wireless channel is complex and varying, accurate channel state information (CSI) cannot be always available at the receiver. We classify the scenarios into three cases with perfect CSIs, imperfect CSIs, and no CSIs. By assigning learnable weights on the edges in the iterative decoding, the proposed neural decoder compensates for the performance loss caused by the error/lack of CSIs. The trajectory-based extrinsic information transfer (T-EXIT) chart is employed as a theoretical tool to select the proper training dataset for the neural network and the proper channel initialization scheme for the receiver. Numerical results in terms of block error rates are provided, which agree with the T-EXIT analysis. It can be seen that the proposed neural MS decoder clearly outperforms the traditional MS algorithm in Rayleigh fading channels. Meanwhile, the proposed decoder shows a good compatibility so that it can be applied to the cases with different accuracy of CSIs.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128435187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A New Semantic Segmentation Diagram for Intelligent Transportation Based on Heterogeneous Knowledge Base 一种基于异构知识库的智能交通语义分割图

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10119032

Jingyuan Tang, Jiaqi Zou, Song-tao Sun

引用次数: 0

Efficient Localization Algorithms Using a Uniform Rectangular Array with Model Imperfections 具有模型缺陷的均匀矩形阵列的高效定位算法

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118747

Shuaishuai Han, M. Al-jarrah, E. Alsusa

{"title":"Efficient Localization Algorithms Using a Uniform Rectangular Array with Model Imperfections","authors":"Shuaishuai Han, M. Al-jarrah, E. Alsusa","doi":"10.1109/WCNC55385.2023.10118747","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118747","url":null,"abstract":"Conventional localization algorithms, including maximum likelihood (ML) and multiple signal classification (MUSIC), are significantly influenced by array model imperfections. To address this problem, two generalized algorithms are proposed in this paper by extending the two conventional algorithms. The presented techniques are evaluated within the context of a passive uniform rectangular array (URA) where a rectangular subarray is assumed to be calibrated perfectly, while the remaining antennas incur array model errors. In this case, the performance of the conventional algorithms degrades seriously or even the operations fail. Nevertheless, the proposed algorithms can eliminate this issue by employing a separation technique. In specific, a separation strategy is applied to the introduced algorithms to automatically selects signals belonging to the calibrated subarray from the received signal matrix and eliminate the signals belonging to the uncalibrated antennas prior to conducting the azimuth-elevation-Doppler estimation. In order to reduce the computation complexity, the azimuth-elevation-Doppler estimation is divided into two sub-problems: the estimation process of the Doppler frequency and the estimation process of the azimuth-elevation angles. The simulation results are shown to demonstrate the efficiency and superiority of the proposed algorithms compared to the conventional algorithms.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127537104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Interference Analysis of Multi-tier NGSO Based on Stochastic Geometry 基于随机几何的多层NGSO干扰分析

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10119066

Z. Qiu, Wen Wang, Jingru Geng, Yiqing Liu

{"title":"Interference Analysis of Multi-tier NGSO Based on Stochastic Geometry","authors":"Z. Qiu, Wen Wang, Jingru Geng, Yiqing Liu","doi":"10.1109/WCNC55385.2023.10119066","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10119066","url":null,"abstract":"It has been an emerging trend to provide global Internet access using massive Non-Stationary Orbit (NGSO) networks, which are part of the Low Earth Orbit (LEO) networks. How to evaluate the performance of this new network is now a hot topic of research. Traditional terrestrial wireless networks consider interference as an important metric of network performance. However, interference scenario of massive NGSO networks changes dynamically in time and space, causing difficulty in interference analysis. In this paper, we propose a Monte Carlo algorithm based on stochastic geometry for simulating multi-tier NGSO networks’ interference. We utilize stochastic geometry to model the locations of satellites as a randomly distributed points process in a 3-D space. Then, Monte Carlo is used to randomly sample the interference scenario. The advantage of our analysis algorithm is to use the random point process to approximate the random characteristics of the spatiotemporal dynamic trajectory of high-density networks. Simulation results prove that with comparable accuracy, our algorithm has lower time cost versus to the conventional interference analysis method for massive multi-tier NGSO networks.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127515253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Efficient Privacy-Preserving Federated Learning Against Inference Attacks for IoT 针对物联网推理攻击的高效隐私保护联邦学习

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118613

Yifeng Miao, Siguang Chen

引用次数: 0

Novel Structure for Uplink mmWave Massive MIMO-HBF-NOMA Systems 上行毫米波大规模MIMO-HBF-NOMA系统的新结构

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118820

Bin He, Hui Wang, Hong Wang, Rong-fang Song, Qixin Tai

{"title":"Novel Structure for Uplink mmWave Massive MIMO-HBF-NOMA Systems","authors":"Bin He, Hui Wang, Hong Wang, Rong-fang Song, Qixin Tai","doi":"10.1109/WCNC55385.2023.10118820","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118820","url":null,"abstract":"Massive multiple-input multiple-output (MIMO), non-orthogonal multiple access (NOMA), and millimeter-wave (mmWave) are key technologies in the upcoming beyond fifth generation (B5G)/sixth generation (6G) era. As mmWave massive MIMO will likely use hybrid beamforming (HBF) to reduce radio frequency (RF) chains without an obvious performance loss to fulfill the urgent requirement for immense connectivity and huge throughput, it is necessary to integrate mmWave massive MIMO-NOMA with HBF structure. This work devises a novel structure for uplink mmWave massive MIMO-HBF-NOMA system based on group-level successive interference cancellation (GSIC), aiming at maximizing the spectrum efficiency (SE) of the whole system. In our paradigm, users are grouped in terms of channel gain. Space division multiple access (SDMA) is deployed between users in the same group, while NOMA is applied among different groups. The analog beamforming vectors are selected through beam sweeping. An iterative algorithm is proposed to optimize the power allocation and the digital beamforming matrix. Therein, a quadratic transform (QT) algorithm is introduced to solve the power allocation and zero forcing (ZF) method is invoked to obtain the digital beamformer. According to the simulation, the novel GSIC-based structure outperforms the benchmark clustering-based successive interference cancellation (SIC) schemes in SE and energy efficiency (EE) measurably.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130743321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1