2023 IEEE Wireless Communications and Networking Conference (WCNC)最新文献_第6页

Sparse Superimposed Pilot Based Channel Estimation in OTFS Systems 基于稀疏叠加导频的OTFS系统信道估计

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118899

Fathima Jesbin, Sandesh Rao Mattu, A. Chockalingam

{"title":"Sparse Superimposed Pilot Based Channel Estimation in OTFS Systems","authors":"Fathima Jesbin, Sandesh Rao Mattu, A. Chockalingam","doi":"10.1109/WCNC55385.2023.10118899","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118899","url":null,"abstract":"Traditional orthogonal time frequency space (OTFS) channel estimation schemes dedicate an entire frame or a part of the frame for accommodating pilot and guard symbols to avoid pilot-data interference, which compromises spectral efficiency. This spectral efficiency loss can be avoided using superimposed pilots, where delay-Doppler (DD) bins in the OTFS frame carries both data and pilot symbols. In this paper, we propose a sparse superimposed pilot scheme for channel estimation, where all the DD bins in a frame carry data symbols and pilot symbols are superimposed over some of them, sparsely. The proposed scheme does not suffer spectral efficiency loss due to pilot/guard symbols. It also has the advantage of more localized pilot-data interference profile that leads to better performance. We derive the minimum mean square error (MMSE) channel estimator for the proposed scheme. We obtain optimum number of pilot symbols per frame and power distribution among data and pilot symbols through simulations. Simulation results show that the proposed scheme achieves better performance at a lesser complexity compared to existing superimposed pilot scheme. An iterative scheme that further improves performance is also proposed.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"126 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":"133014761","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

Low-PAPR Integrated Sensing and Communication Waveform Design 低papr集成传感与通信波形设计

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10119026

Rubing Yao, Zhiqing Wei, Liyan Su, L. Wang, Zhiyong Feng

引用次数: 0

Cell- and Area-based ML Models: Unlocking High Precision Models for Radio Access Networks 基于小区和区域的机器学习模型:解锁无线接入网络的高精度模型

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118824

Philipp Geuer, Alexandros Palaios, Roman Zhohov

{"title":"Cell- and Area-based ML Models: Unlocking High Precision Models for Radio Access Networks","authors":"Philipp Geuer, Alexandros Palaios, Roman Zhohov","doi":"10.1109/WCNC55385.2023.10118824","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118824","url":null,"abstract":"Cellular networks evolve towards future generations, facing unprecedented levels of device and network programmability. At the same time, the new vision of the cyber-physical continuum will rely on diverse network architectures in extremely dense deployments. The emergence of new types of cells, like mobile and drone ones, would rely on instantly available AI/ML algorithms to provide a service within a few seconds after being powered on, avoiding long periods of data collection and training.In this work, we discuss how cell-specific characteristics, like the radio environment, can impact area-based ML models. Even though area-based models simplify the management of ML workflows considerably, there is also a need for cell-based models as these tend to provide better performance. Moreover, we show that area-based models can be part of ML workflow as they can complement cell-based ones. We finalize our work by discussing the possibility of reusing available ML models from other cells as a way of reducing the time needed for applying ML algorithms in newly deployed cells. We provide initial insights on the model re-usability and performance assessment and highlight the need for more research in this direction.In our work, we utilize the data from a test network, allowing us to explore the dynamics of real networks and provide results with increased confidence.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"279 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":"130797580","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

Intelligent Reflecting Surfaces Assisted UAV Reliable Communication 智能反射面辅助无人机可靠通信

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10119055

Haiying Peng, Yu Zheng, Peng He, Yaping Cui, Ruyang Wang, Dapeng Wu, Luo Chen

{"title":"Intelligent Reflecting Surfaces Assisted UAV Reliable Communication","authors":"Haiying Peng, Yu Zheng, Peng He, Yaping Cui, Ruyang Wang, Dapeng Wu, Luo Chen","doi":"10.1109/WCNC55385.2023.10119055","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10119055","url":null,"abstract":"In this paper, we investigate the reliability of intelligent reflecting surface (IRS)-assisted unmanned aerial vehicle (UAV) communications in the case of limited UAV energy. Under constraints of the UAV energy and the channel decoding error rate, we formulate a reliability maximization problem by jointly optimizing the IRS’s scheduling, the UAV’s trajectory, the IRS’s phase shift, and the UAV’s transmit power. Since the partial constraints of the problem are strictly nonconvex and its variables are coupling, the problem is difficult to convert to a nonconvex problem. Therefore, we propose a chaotic adaptation hybrid whale optimization algorithm (CAHWOA) to solve the problem. CAHWOA is implemented by using alternately the chaotic adaptation whale optimization algorithm (CAWOA) and the binary optimization algorithm (BWOA). Simulation results demonstrate that the joint optimization of IRS and UAV can improve the system communication reliability by almost 32% compared with the two baseline schemes. CAHWOA can improve the convergence rate by nearly 20% and enhance the optimization-seeking accuracy by about 0.04 compared with the three baseline algorithms.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"46 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":"130945017","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

Unsupervised Domain Adaptation for WiFi Gesture Recognition WiFi手势识别的无监督域自适应

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118941

Bin Zhang, Dongheng Zhang, Yang Hu, Yan Chen

{"title":"Unsupervised Domain Adaptation for WiFi Gesture Recognition","authors":"Bin Zhang, Dongheng Zhang, Yang Hu, Yan Chen","doi":"10.1109/WCNC55385.2023.10118941","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118941","url":null,"abstract":"Human gesture recognition with WiFi signals has attained acclaim due to the omnipresence, privacy protection, and broad coverage nature of WiFi signals. These gesture recognition systems rely on neural networks trained with a large number of labeled data. However, the recognition model trained with data under certain conditions would suffer from significant performance degradation when applied in practical deployment, which limits the application of gesture recognition systems. In this paper, we propose UDAWiGR, an unsupervised domain adaptation framework for WiFi-based gesture recognition aiming to enhance the performance of the recognition model in new conditions by making effective use of the unlabeled data from new conditions. We first propose a pseudo-labeling method with confidence control constraint to utilize unlabeled data for model training. We then utilize consistency regularization to align the output distribution for enhancing the robustness of neural network under signal perturbations. Furthermore, we propose a cross-match loss to combine the pseudo-labeling and consistency regularization, which makes the whole framework simple yet effective. Extensive experiments demonstrate that the proposed framework could achieve 4.35% accuracy improvement comparing with the state-of-the-art methods on public dataset.","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":"129020206","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 Portable Base Station Assisted Localization with Grid Bias Elimination 一种便携式基站辅助定位网格偏压消除方法

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118684

Zhuyin Li, Xu Zhu

{"title":"A Portable Base Station Assisted Localization with Grid Bias Elimination","authors":"Zhuyin Li, Xu Zhu","doi":"10.1109/WCNC55385.2023.10118684","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118684","url":null,"abstract":"Localization has always been one of the key issues for security applications. As security systems are turning more intelligent together with the development of smart information technologies, critical requirements for wireless target localization have challenged the traditional positioning techniques, including flexibility, portability, deployment cost, computational efficiency, and estimation accuracy, to name a few. Although the widely- accepted classical algorithm, MUltiple SIgnal Classification (MUSIC), has been proven to be an effective tool for the space-time estimation, it can hardly satisfy localization requirements under such security scenarios due to the high complexity and the bias error led by grid searching. Thus, in this paper, we propose a Joint Angle and Delay Estimation (JADE)-based localization algorithm using only one single portable base station, which eliminates the grid bias with low computational complexity. First, a MUSIC-based coarse JADE approach is proposed; then, a Taylor-series-based refinement method is introduced to eliminate the grid bias; and finally, the target mobile station is localized by the estimated time delay and angle information. The performance is evaluated by numerical simulations under various conditions, compared with five different existing algorithms. Our proposed MT-2D algorithm is proven to achieve a better estimation accuracy for the time delay, angle and position with a relatively low computational cost.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"32 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":"129228190","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

Optimal Placement of Reconfigurable Intelligent Surfaces with Random Obstacle Distribution 具有随机障碍分布的可重构智能曲面的最优布局

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118608

Jingyuan Zhang, D. Blough

引用次数: 1

Multi-Armed Bandit Framework for Resource Allocation in Uplink NOMA Networks 上行NOMA网络中资源分配的多武装强盗框架

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118826

Amani Benamor, Oussama Habachi, I. Kammoun, J. Cances

引用次数: 0

Robust OFDM Shared Waveform Design and Resource Allocation for the Integrated Sensing and Communication System 集成传感通信系统中OFDM共享波形的鲁棒设计与资源分配

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118730

Xinyue Cao, Liang Tang, Fei Shen, Yueyue Zhang, Feng Yan, Chao Wang

引用次数: 2

Secrecy Analysis of a Dual-Hop Wireless Network with Independent Eavesdroppers and Outdated CSI 具有独立窃听器和过时CSI的双跳无线网络的保密性分析

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118636

Elmehdi Illi, M. Qaraqe, Faissal El Bouanani, S. Al-Kuwari

{"title":"Secrecy Analysis of a Dual-Hop Wireless Network with Independent Eavesdroppers and Outdated CSI","authors":"Elmehdi Illi, M. Qaraqe, Faissal El Bouanani, S. Al-Kuwari","doi":"10.1109/WCNC55385.2023.10118636","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118636","url":null,"abstract":"In this paper, the secrecy of a dual-hop unmanned aerial vehicle-based wireless communication system, in the presence of mobility and imperfect channel state information (CSI), is investigated. The system consists of a decode-and-forward relay connecting a source and destination node. The transmission is performed under the presence of two eavesdroppers aiming to intercept independently the source-relay and source-destination communication channels. It is assumed that the transmitters are equipped with one transmit antenna, while the receivers have multiple receive antennas. Based on the statistical properties of the per-hop signal-to-noise ratio (SNR), a closed-form formula for the network’s secrecy intercept probability (IP) is derived, in terms of the main system and channel parameters. The results correlate the impact of such parameters on the secrecy level of the system, where the latter can be enhanced by increasing the number of antennas at the legitimate receivers and the average SNRs of the legitimate links. Furthermore, it is shown that as the CSI imperfection level, nodes’ speed, delay, and carrier frequency increase, the system’s secrecy degrades. All the derived results are verified through Monte Carlo simulations.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"50 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":"126279458","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