2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)最新文献_第5页

Channel Charting Aided Pilot Allocation in Multi-Cell Massive MIMO mMTC Networks 多小区大规模MIMO mMTC网络中信道图辅助导频分配

2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC) Pub Date : 2022-07-04 DOI: 10.1109/spawc51304.2022.9834004

Lucas Ribeiro, Markus Leinonen, Isuru Rathnayaka, H. Al-Tous, M. Juntti

{"title":"Channel Charting Aided Pilot Allocation in Multi-Cell Massive MIMO mMTC Networks","authors":"Lucas Ribeiro, Markus Leinonen, Isuru Rathnayaka, H. Al-Tous, M. Juntti","doi":"10.1109/spawc51304.2022.9834004","DOIUrl":"https://doi.org/10.1109/spawc51304.2022.9834004","url":null,"abstract":"Serving a plethora of devices in massive machinetype communications (mMTC) can rely on spatial multiplexing enabled by massive multiple-input multiple-output (mMIMO) technology. To release the full potential, accurate channel estimation is needed. Due to the large numbers of devices it necessitates pilot reuse. We propose a pilot allocation algorithm based on multi-point channel charting (CC) to mitigate inevitable pilot contamination in a multi-cell multi-sector mMTC network with spatially correlated mMIMO channels. The generated CC represents an effective interference map from channel covariance matrices to capture the degree of pilot contamination caused by sharing the same pilot sequence among multiple users. The map is then fed into a greedy algorithm that aims at optimizing the reuse pattern of orthogonal pilot sequences to minimize the performance degradation caused by pilot contamination. The proposed CC-based method is empirically shown to obtain notable gains over a reuse-factor-aware random pilot allocation, yet leaving room for further improvements.","PeriodicalId":423807,"journal":{"name":"2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)","volume":"75 2-3 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":"123564340","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

Vector Coded Caching Greatly Enhances Massive MIMO 矢量编码缓存极大地增强了大规模MIMO

2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC) Pub Date : 2022-07-04 DOI: 10.1109/spawc51304.2022.9834028

Hui Zhao, Antonio Bazco-Nogueras, P. Elia

引用次数: 1

Multiple-antenna Placement Delivery Array with Cyclic Placement 循环放置的多天线放置传输阵列

2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC) Pub Date : 2022-07-04 DOI: 10.1109/spawc51304.2022.9833967

Kai Wan, Minquan Cheng, G. Caire

引用次数: 1

Sensing Assisted Predictive Beamforming for V2I Networks: Tracking on the Complicated Road : (Invited Paper) 传感辅助预测波束形成的V2I网络:复杂道路上的跟踪(特邀论文)

2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC) Pub Date : 2022-07-04 DOI: 10.1109/spawc51304.2022.9833957

Xiao Meng, F. Liu, W. Yuan, Qixun Zhang

引用次数: 1

Malicious Exploitation of Byzantine Attack for Cooperative Spectrum Sensing 协同频谱感知拜占庭攻击的恶意利用

2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC) Pub Date : 2022-07-04 DOI: 10.1109/spawc51304.2022.9833978

Jipeng Gan, Jun Wu, Pei Li, Zehao Chen, Zehao Chen, Jia Zhang, Jian-Duo He

引用次数: 0

Channel Prediction over Irregular Terrains: Deep Autoencoder with Random Forest 不规则地形上的信道预测:带有随机森林的深度自编码器

2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC) Pub Date : 2022-07-04 DOI: 10.1109/spawc51304.2022.9833965

Yuyang Wang, Shiva R. Iyer, D. Chizhik, Jinfeng Du, R. Valenzuela

{"title":"Channel Prediction over Irregular Terrains: Deep Autoencoder with Random Forest","authors":"Yuyang Wang, Shiva R. Iyer, D. Chizhik, Jinfeng Du, R. Valenzuela","doi":"10.1109/spawc51304.2022.9833965","DOIUrl":"https://doi.org/10.1109/spawc51304.2022.9833965","url":null,"abstract":"Channel modeling is critical for coverage prediction, system level simulations, and wireless propagation characterization. Industry practice applies linear fit to the pathloss in decibels against the logarithm of the distance. Simple linear fit, however, cannot fully capture the shadowing effects in the channel, especially for a link with rich scatterings such as non-line-of-sight (NLOS) links in a complex propagation environment. In this paper, we propose an interpretable hybrid learning model with expert knowledge to predict the channel pathloss in desert-like environment using terrain profiles. We apply an autoencoder to extract compressed information from terrain profiles. The compressed representation of terrain, combined with features selected based on expert knowledge such as LOS/NLOS indicator and curvature of the terrain, are used to predict the pathloss. We show that a Random Forest regression model outperforms CNN/DNN models in generalizability of predicting unseen data by training and testing in disjoint sectors of the measured areas.","PeriodicalId":423807,"journal":{"name":"2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)","volume":"3 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":"121437833","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

Convergence Analysis of Cloud-Aided Federated Edge Learning on Non-IID Data 非iid数据上云辅助联邦边缘学习的收敛性分析

2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC) Pub Date : 2022-07-04 DOI: 10.1109/spawc51304.2022.9833971

Sai Wang, Yi Gong

引用次数: 0

Toward Robust Networks against Adversarial Attacks for Radio Signal Modulation Classification 无线电信号调制分类中抗敌对攻击的鲁棒网络研究

2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC) Pub Date : 2022-07-04 DOI: 10.1109/spawc51304.2022.9833926

B. Manoj, P. M. Santos, Meysam Sadeghi, E. Larsson

引用次数: 2

Improved Non-Uniform Constellations for Non-Binary Codes Through Deep Reinforcement Learning 通过深度强化学习改进非二进制码的非均匀排列

2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC) Pub Date : 2022-07-04 DOI: 10.1109/spawc51304.2022.9834022

Rami Klaimi, Stefan Weithoffer, C. A. Nour

{"title":"Improved Non-Uniform Constellations for Non-Binary Codes Through Deep Reinforcement Learning","authors":"Rami Klaimi, Stefan Weithoffer, C. A. Nour","doi":"10.1109/spawc51304.2022.9834022","DOIUrl":"https://doi.org/10.1109/spawc51304.2022.9834022","url":null,"abstract":"Non-binary forward error correction (FEC) codes have been getting more attention lately in the coding society thanks mainly to their improved error correcting capabilities. Indeed, they reveal their full potential in the case of a one-to-one mapping between the code symbols over Galois fields (GF) and constellation points of the same order. Previously, we proposed non-binary FEC code designs targeting a given classical constellation through the optimization of the minimum Euclidean distance between candidate codewords. To go a step further, a better Euclidean distance spectrum can be achieved through the joint optimization of code parameters and positions of constellation symbols. However, this joint optimization for high order GFs reveals to be intractable in number of cases to evaluate. Therefore in this work, we propose a solution based on the multi-agent Deep Q-Network (DQN) algorithm. Applied to non-binary turbo codes (NB-TCs) over GF(64), the proposal largely improves performance by significantly lowering the error floor region of the resulting coded modulation scheme.","PeriodicalId":423807,"journal":{"name":"2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)","volume":"54 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":"127488100","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

Predistortion of OFDM signals for VLC systems using phosphor-converted LEDs 使用磷光转换led的VLC系统OFDM信号的预失真

2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC) Pub Date : 2022-07-04 DOI: 10.1109/spawc51304.2022.9833916

M. Laakso, A. Dowhuszko, R. Wichman

{"title":"Predistortion of OFDM signals for VLC systems using phosphor-converted LEDs","authors":"M. Laakso, A. Dowhuszko, R. Wichman","doi":"10.1109/spawc51304.2022.9833916","DOIUrl":"https://doi.org/10.1109/spawc51304.2022.9833916","url":null,"abstract":"In Visible Light Communications (VLC) systems, the Light-Emitting Diode (LED) is the dominant source of non-linearity and memory effects, which are originated on phenomena that take place in both the electrical and optical domains. The impact that these LED non-idealities have on the received data symbols becomes even more notable with OFDM waveforms due to their high Peak-to-Average power Ratio (PAPR) of these signals. One simple way to address this problem consists in selecting a suitable Input Back-Off (IBO) value, forcing the LED to work in its linear region. However, such an approach limits the VLC system coverage, as it reduces the dynamic range of the OFDM signal that modulates the intensity of the optical wireless link. To provide a balance between these two conflicting goals, the use of digital predistortion can be considered instead, in order to compensate nonlinear distortion and memory effects that are added in the VLC transmitter. For this purpose, this paper studies the sources of nonlinearity and memory in phosphor-converted (PC)-LEDs in both electrical and optical domains. After that, different approaches are presented to model these effects in the PC-LED, namely the Wiener-Hammerstein, memory polynomial, and Convolutional Neural Network (CNN) models. Finally, the performance of each of these approaches for digital predistortion are experimentally evaluated in a software-defined VLC demonstrator, observing a notable improvement on the Error Vector Magnitude (EVM) when compared to the case in which no compensation is performed in transmission.","PeriodicalId":423807,"journal":{"name":"2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)","volume":"254 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":"134361921","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