2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)最新文献

Parallel APSM for Fast and Adaptive Digital SIC in Full-Duplex Transceivers with Nonlinearity 非线性全双工收发器中快速自适应数字SIC的并行APSM

2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC) Pub Date : 2022-07-04 DOI: 10.1109/spawc51304.2022.9833961

M. Attar, Omid Taghizadeh, Kaixin Chang, Ramez Askar, Matthias Mehlhose, Sławomir Stańczak

{"title":"Parallel APSM for Fast and Adaptive Digital SIC in Full-Duplex Transceivers with Nonlinearity","authors":"M. Attar, Omid Taghizadeh, Kaixin Chang, Ramez Askar, Matthias Mehlhose, Sławomir Stańczak","doi":"10.1109/spawc51304.2022.9833961","DOIUrl":"https://doi.org/10.1109/spawc51304.2022.9833961","url":null,"abstract":"This paper presents a kernel-based adaptive filter that is applied for the digital domain self-interference cancellation (SIC) in a transceiver operating in full-duplex (FD) mode. In FD, the benefit of simultaneous transmission and receiving of signals comes at the price of strong self-interference (SI). In this work, we are primarily interested in suppressing the SI using an adaptive filter namely adaptive projected subgradient method (APSM) in a reproducing kernel Hilbert space (RKHS) of functions. Using the projection concept as a powerful tool, APSM is used to model and consequently remove the SI. A low-complexity and fast-tracking algorithm is provided taking advantage of parallel projections as well as the kernel trick in RKHS. The performance of the proposed method is evaluated on real measurement data. The method illustrates the good performance of the proposed adaptive filter, compared to the known popular benchmarks. They demonstrate that the kernel-based algorithm achieves a favorable level of digital SIC while enabling parallel computation-based implementation within a rich and nonlinear function space, thanks to the employed adaptive filtering method.","PeriodicalId":423807,"journal":{"name":"2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126165142","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: 2

60 GHz Outdoor to Indoor (O2I) Propagation Measurements in a University Campus 大学校园60ghz室内外(O2I)传播测量

2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC) Pub Date : 2022-07-04 DOI: 10.1109/spawc51304.2022.9833968

Nikolaos Ntetsikas, N. Babu, M. H. Tariq, C. Papadias, Jinfeng Du, D. Chizhik, R. Valenzuela, M. Rodríguez, R. Feick

引用次数: 2

Machine Learning Based NLOS Radio Positioning in Beamforming Networks 波束形成网络中基于机器学习的NLOS无线电定位

2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC) Pub Date : 2022-07-04 DOI: 10.1109/spawc51304.2022.9834010

Roman Klus, J. Talvitie, Julia Vinogradova, J. Torsner, M. Valkama

{"title":"Machine Learning Based NLOS Radio Positioning in Beamforming Networks","authors":"Roman Klus, J. Talvitie, Julia Vinogradova, J. Torsner, M. Valkama","doi":"10.1109/spawc51304.2022.9834010","DOIUrl":"https://doi.org/10.1109/spawc51304.2022.9834010","url":null,"abstract":"In this paper, we address the challenging problem of radio positioning in non-line-of-sight (NLoS) conditions. To this end, we utilize measurements in the form of time-of-flight and gNodeB angular information in the context of 5G New Radio (NR) networks. Such measurements are processed by artificial neural networks with different snapshot and sequence-processing architectures to track the positions of the terminals. For model training, we consider a crowdsensing data acquisition scheme to effortlessly gather the desired measurements with the synchronized location tags. Realistic ray-tracing based evaluations on the so-called Madrid map at 28 GHz millimeter-wave band are provided, to assess the achievable performance while also varying the amount of uncertainties within the data. The obtained results show that radio positioning is feasible with accuracy in the order of 1 meter, or even below, also in challenging NLOS scenarios if the data and measurement uncertainties are small. The results also show that the sequence processing approach offers superior performance under practical measurement uncertainties.","PeriodicalId":423807,"journal":{"name":"2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126396867","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

SPAWC 2022 Cover Page SPAWC 2022封面

2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC) Pub Date : 2022-07-04 DOI: 10.1109/spawc51304.2022.9834011

引用次数: 0

Federated Learning for Multipoint Channel Charting 多点通道图的联合学习

2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC) Pub Date : 2022-07-04 DOI: 10.1109/spawc51304.2022.9833960

Patrick Agostini, Z. Utkovski, Sławomir Stańczak

{"title":"Federated Learning for Multipoint Channel Charting","authors":"Patrick Agostini, Z. Utkovski, Sławomir Stańczak","doi":"10.1109/spawc51304.2022.9833960","DOIUrl":"https://doi.org/10.1109/spawc51304.2022.9833960","url":null,"abstract":"Multipoint channel charting (MP-CC) has been proposed as an effective approach to reap the benefits of cooperation for learning accurate channel charts in massive MIMO systems with multiple bases-stations (BSs). The high-dimensional nature of channel state information (CSI) data, however, imposes significant communication overhead between BSs for joint learning of the MP-CC. To reduce communication overhead and foster locality of CSI data, we explore federated learning (FL) approaches for distributed learning of joint multipoint channel charts. In the proposed approach, each BS learns an individual model and a shared model, where the individual model parameters are unique to each BS and the shared model parameters are communicated to a central server for aggregation. By sharing only weights of the shared model after each training episode, the communication overhead between BSs can be significantly reduced. We provide experimental results on a convolution autoencoder architecture with simulated beam-space CSI data, and compare the FL approach against a fully centralized architecture.","PeriodicalId":423807,"journal":{"name":"2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128419114","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

On the Importance of Exploration for Real Life Learned Algorithms 论探索对现实生活中学习算法的重要性

2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC) Pub Date : 2022-07-04 DOI: 10.1109/spawc51304.2022.9834009

Steffen Gracla, C. Bockelmann, A. Dekorsy

引用次数: 0

MLE-based Device Activity Detection for Grant-free Massive Access under Rician Fading 基于mle的无授权大容量接入的设备活动检测

2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC) Pub Date : 2022-07-04 DOI: 10.1109/spawc51304.2022.9833944

Wang Liu, Ying Cui, Feng Yang, Lianghui Ding, Jun Sun

{"title":"MLE-based Device Activity Detection for Grant-free Massive Access under Rician Fading","authors":"Wang Liu, Ying Cui, Feng Yang, Lianghui Ding, Jun Sun","doi":"10.1109/spawc51304.2022.9833944","DOIUrl":"https://doi.org/10.1109/spawc51304.2022.9833944","url":null,"abstract":"Recently, grant-free access is proposed as an essential technique for supporting massive machine-type communications (mMTC) for the Internet of Things (IoT). Most existing studies on device activity detection either make no use of channel statistics or assume Rayleigh fading for simplicity. Device activity detection under more general fading models remains open. To shed some light, this paper considers Rician fading and proposes a maximum likelihood estimation (MLE)-based device activity detection method. First, we formulate the estimation of device activities as an MLE problem. Then, based on the coordinate descent (CD) method, we develop an iterative algorithm, where all coordinate optimization problems are solved analytically, to obtain a stationary point of the non-convex MLE problem. Finally, numerical results demonstrate the notable gains of the proposed method over the existing solutions and offer important design insights into practical massive grant-free access for mMTC. The results in this paper generalize those for Rayleigh fading and have practical sense.","PeriodicalId":423807,"journal":{"name":"2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130795482","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: 2

Power Allocation For Full-duplex Two-way Wiretap Channel 全双工双向Wiretap信道的功率分配

2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC) Pub Date : 2022-07-04 DOI: 10.1109/spawc51304.2022.9833919

Navneet Garg, T. Ratnarajah

引用次数: 0

Parametrization of High-Rank Line-of-Sight MIMO Channels with Reflected Paths 具有反射路径的高阶视距MIMO信道参数化

2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC) Pub Date : 2022-07-04 DOI: 10.1109/spawc51304.2022.9833962

Yaqi Hu, Mingsheng Yin, S. Rangan, M. Mezzavilla

引用次数: 2

A Sequential Experience-driven Contextual Bandit Policy for MIMO TWAF Online Relay Selection MIMO TWAF在线中继选择的顺序经验驱动的上下文强盗策略

2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC) Pub Date : 2022-07-04 DOI: 10.1109/spawc51304.2022.9834018

Ankit Gupta, M. Sellathurai, T. Ratnarajah

引用次数: 0