Rugui Yao, Shengyao Wang, Xiaoya Zuo, Juan Xu, Nan Qi
{"title":"Deep Learning Aided Signal Detection in OFDM Systems with Time-Varying Channels*","authors":"Rugui Yao, Shengyao Wang, Xiaoya Zuo, Juan Xu, Nan Qi","doi":"10.1109/PACRIM47961.2019.8985060","DOIUrl":"https://doi.org/10.1109/PACRIM47961.2019.8985060","url":null,"abstract":"In this paper, we propose a deep learning aided approach for signal detection in orthogonal frequency-division multiplexing (OFDM) systems with time-varying channels. The method simplifies the architecture of OFDM systems by treating OFDM receivers as a black box. We utilize fully-connected deep neural network (FC-DNN) properly and successfully simulate an end-to-end time-varying OFDM system. Compared with two conventional algorithms well-designed to deal with OFDM systems in time-varying environment, the proposed method does not need to estimate channel parameters to detect signals. Simulation results also demonstrate that the trained DNN model has the ability to remember the characteristics of wireless time-varying channels and provide more accurate and robust signal recovery performance.","PeriodicalId":152556,"journal":{"name":"2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121569644","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}
T. Kondo, Hidenobu Watanabe, Kai Kobayashi, Hayato Kimura, T. Ohigashi
{"title":"Development of the Edge Computing Platform with Dynamic Modular Configuration for an IoT Platform","authors":"T. Kondo, Hidenobu Watanabe, Kai Kobayashi, Hayato Kimura, T. Ohigashi","doi":"10.1109/PACRIM47961.2019.8985097","DOIUrl":"https://doi.org/10.1109/PACRIM47961.2019.8985097","url":null,"abstract":"We have been developing an edge computing platform that can coordinate with each computing resources of device, edge node and cloud for diversifying data can be modularized and actively deployed in cooperation within the wide area network. With these features, it is possible to flexibly deploy and work modules according to data characteristics and purpose of use and to provide various functions at appropriate network locations. This platform brings transparent processing environment for IoT devices according to a data characteristic or use purpose. This paper describes a dynamic control method for the platform based on multiple sensor information, and show implementation and evaluation by an actual application using camera devices.","PeriodicalId":152556,"journal":{"name":"2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114227177","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}
{"title":"HDL Code Optimizations: Impact on Hardware Implementations and CAD Tools","authors":"S. N. Shahrouzi, D. Perera","doi":"10.1109/PACRIM47961.2019.8985074","DOIUrl":"https://doi.org/10.1109/PACRIM47961.2019.8985074","url":null,"abstract":"With the dramatic increase in utilization of FPGAs for hardware designs in various application domains, CAD tools play a vital role in the development and implementation of FPGA-based designs. Although CAD tools are typically designed to optimize FPGA-based designs to enhance certain performance metrics during the synthesis-to-implementation process, in this work, we illustrate that CAD tools are susceptible to HDL coding style; thus, minor difference in HDL constructs/codes, lead to significantly different final hardware implementations, which in turn impacts the area-efficiency and speed-performance. By utilizing simple hardware circuitry, we analyze and demonstrate the impact of \"code optimizations\", i.e., how the \"code optimizations\" (i.e., varying HDL constructs/codes) impact the way the FPGA-based CAD tools, and their associated algorithms/techniques, interpret and implement the final hardware circuitry on the FPGA. Our experimental results and analysis ascertain that by performing minor modifications to the HDL constructs/codes (with minor \"code optimizations\"), we can significantly enhance certain performance metrics of the corresponding hardware implementations in terms of area-efficiency and speed-performance, without changing the underlying hardware circuitry.","PeriodicalId":152556,"journal":{"name":"2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117323702","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}
Jina Zhen, Shuangzhi Li, Jian-Kang Zhang, K. M. Wong
{"title":"Design of Optimal Unitary Constellation with Noncoherent ML Receiver","authors":"Jina Zhen, Shuangzhi Li, Jian-Kang Zhang, K. M. Wong","doi":"10.1109/PACRIM47961.2019.8985123","DOIUrl":"https://doi.org/10.1109/PACRIM47961.2019.8985123","url":null,"abstract":"In this paper, we are interested in a noncoherent MIMO system with a single transmitter having two antennas communicating with a receiver having at least two antennas over a Rayleigh fading channel. It is assumed that the channel coefficients keep constant during four successive time slots, after which they become new independent value. For such a system, we propose a novel parameterized coding method to systematically and efficiently design an optimal unitary constellation by optimizing both noncoherent diversity and coding gains with the maximum likelihood (ML) receiver. We first characterize the optimal structure for each parameter when the number of bits allocated for each parameter space is fixed and then, find an optimal bit allocation for each parameter space subject to a total transmission bits constraint by further maximizing the coding gain. Computer simulations demonstrate that our proposed coding scheme significantly outperforms the traditional methods in literature for the same noncoherent system.","PeriodicalId":152556,"journal":{"name":"2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130990210","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}
{"title":"Dynamic Topology Inference via External Observation for Multi-Robot Formation Control","authors":"Cong Liu, Jianping He, Shanying Zhu, Cailian Chen","doi":"10.1109/PACRIM47961.2019.8985069","DOIUrl":"https://doi.org/10.1109/PACRIM47961.2019.8985069","url":null,"abstract":"Network communication topology through which robots achieve intelligent collaboration in multi-robot formation control systems is of fundamental importance. Existing works focusing on security issues of multi-robot systems usually assume that the topology is priori knowledge. However, the topology graph is not accessible for inner security policies or ID identification from the outside of the system. An intriguing question is how to construct the communication topology via observation from the outside point of view. This work studies the problem of constructing topology graph that represents magnitude of robots interaction via observing trajectories. The main novelties of this work include: i) It is the first time to consider the topology inference problem in multi-robot formation control systems. ii) We transform the inference issue into a linear regression problem. The optimal estimation of Perron matrix that contains the interaction profile is derived using l2-norm least square algorithm (l2-LS). iii) Considering the link failure and creation, we propose a novel dynamic window least square algorithm (DWLS) to identify dynamic changing topology. Finally, simulation results demonstrate that l2-LS has 95% inference accuracy averagely when noise parameter μ = 0.05, and DWLS is robust and stable in identifying time slices, moreover, accuracy approaches 90%.","PeriodicalId":152556,"journal":{"name":"2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","volume":"351 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113986986","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}
{"title":"Video Super-Resolution with Compensation in Feature Extraction","authors":"Yang Zhou, Lei Chen, Jiying Zhao","doi":"10.1109/PACRIM47961.2019.8985104","DOIUrl":"https://doi.org/10.1109/PACRIM47961.2019.8985104","url":null,"abstract":"Conventional Convolutional Neural Network (CNN) based video super-resolution (VSR) methods heavily depend on motion compensation. Pixels in input frames are warped according to flow-like information to eliminate inter-frame differences. These methods have to make a trade-off between the distraction caused by spatio-temporal inconsistency and the pixel-wise detail damage caused by compensation. In this paper, we propose a novel video super-resolution method with a dynamic filter network based compensation module and a residual network based SR module. Unlike traditional VSR techniques, our method does not warp input pixels, but performs motion compensation during feature extractions. The experimental results demonstrate that our method outperforms the state-of-the-art VSR algorithms by at least 1.08 dB in terms of PSNR, and recovers more details together with superior visual quality.","PeriodicalId":152556,"journal":{"name":"2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115079726","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}
A. Murtaza, S. J. H. Pirzada, Fazeelat Fatima, Tongge Xu, Jianwei Liu
{"title":"IP-based Space Air Ground Information Network for Air Traffic Control Communication","authors":"A. Murtaza, S. J. H. Pirzada, Fazeelat Fatima, Tongge Xu, Jianwei Liu","doi":"10.1109/PACRIM47961.2019.8985127","DOIUrl":"https://doi.org/10.1109/PACRIM47961.2019.8985127","url":null,"abstract":"Communication Navigation and Surveillance (CNS) are the three main components of air traffic management (ATC). The long due transformation of air traffic surveillance from old technology to modern technology is about to accomplish by the deployment of satellite-based ADS- B (Automatic Dependent Surveillance-Broadcast) technology. This will extend current airspace coverage from limited continental regions (30%) to a global (100%) coverage. However, communication, being the other critical component of air traffic control is still far behind such a major modernization as well as not ready to accompany this global nature of future air traffic. In our recent work, we have elaborated the limitations of space based-ADS-B system and proposed an alternate better solution in the form of IP-based Space Air Ground Information Network (SAGIN). This paper highlights the limitations and challenges of existing technologies of air traffic communication and issues of independent CNS. The work explained that the SAGIN could not only provide the required modernization of air traffic communication but at the same time, it can provide a reliable, unified and global platform for an integrated CNS for an efficient and global ATC.","PeriodicalId":152556,"journal":{"name":"2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133288647","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}
{"title":"Abnormality Detection with Rényi Divergence for Univariate Gaussian Data","authors":"Y. Xiong, Y. Jing, Tongwen Chen","doi":"10.1109/PACRIM47961.2019.8985131","DOIUrl":"https://doi.org/10.1109/PACRIM47961.2019.8985131","url":null,"abstract":"This paper investigates the abnormality detection based on the Rényi divergence with the divergence order between 0 and 1. It is assumed that univariate Gaussian data samples are independent and identically distributed (i.i.d.). The distance between the estimated distribution from observed data and that from historical data under the normal condition is quantified by the Rényi divergence, the proposed test statistic. The false alarm rate (FAR) and the missed alarm rate (MAR) are derived analytically based on the distribution of the Rényi divergence. Under the abnormal condition, constant bias and multiplicative faults are considered. Taking both the FAR and MAR into consideration, the proposed detection algorithm can adaptively optimize the divergence order and threshold according to observed data. In the simulation, the analytical FAR and MAR results are verified by the Monte Carlo simulations, and the proposed algorithm is shown to outperform the Kullback-Leibler divergence based method.","PeriodicalId":152556,"journal":{"name":"2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122122178","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}
{"title":"User-preference-aware Private-preserving Average Consensus","authors":"Zhenping Chen, Lin X. Cai","doi":"10.1109/PACRIM47961.2019.8985093","DOIUrl":"https://doi.org/10.1109/PACRIM47961.2019.8985093","url":null,"abstract":"Privacy-preserving average consensus is important for multi-agent systems and has been extensively studied. Considering the more practical scenario that different users may have different privacy preferences, there exists a tradeoff between the convergence time and the data privacy protection. In this paper, we design the added noises with the optimal variances considering the heterogeneous user preferences. We develop a novel definition on the convergence time for ensuring (α, γ)- accuracy, which depicts how fast the consensus protocol can converge to the average with a bounded deviation, α, with a probability no smaller than 1 – γ. We obtain the analytical expression for the upper bound of the convergence time. We design the utility of each agent which is inversely proportional to the privacy preference, such that some user may prefer a lower privacy for a higher utility. With the introduction of the reward- incentive mechanism, we then formulate optimization problems to optimize the distribution and the variance of the added noises. Simulations were conducted to verify the analysis.","PeriodicalId":152556,"journal":{"name":"2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115066639","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}
Y. Shimizu, Daiki Nobayashi, H. Tamura, K. Tsukamoto
{"title":"Dynamic A-MPDU adaptation method for airtime fairness in channel bonding-ready WLANs","authors":"Y. Shimizu, Daiki Nobayashi, H. Tamura, K. Tsukamoto","doi":"10.1109/PACRIM47961.2019.8985063","DOIUrl":"https://doi.org/10.1109/PACRIM47961.2019.8985063","url":null,"abstract":"Channel bonding is a technology to increase the transmission rate by bundling and using multiple continuous channels. However, the communication performance is likely to degrade frequently due to the channel competition caused by the rapid increase of the wireless LAN devices. Dynamic channel bonding is expected to become the mainstream in the future from the viewpoint of efficient channel utilization even under the severe competitive condition. However, since the implementation of the dynamic channel bonding to real PC and simulator is in the preliminary stage, the detailed performance investigation has not been carried out. None of existing studies examines the performance of the dynamic channel bonding at the frame level with CSMA/CA functions under the diverse channel competition condition. In this study, we first examine the performance of the dynamic channel bonding with CSMA/CA functions through theoretical approach (2 M/M/1/K) from the view point of frame level. In addition, we then implement the channel bonding mechanism into the Scenargie simulator and then verify its effectiveness through the comparison between simulation results and theoretical ones. Simulation results show that the dynamic channel bonding is suffering from the performance degradation due to the performance anomaly problem caused by the airtime unfairness, we thus propose a dynamic A-MPDU adaptation method. We showed that our proposed method can maximize throughput while achieving airtime fairness, irrespective of different patterns of channel competition.","PeriodicalId":152556,"journal":{"name":"2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126049886","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}