Pub Date : 2019-11-01DOI: 10.1109/LATINCOM48065.2019.8937875
Matheus Ferraroni Sanches, A. M. Souza, W. Lobato, L. Villas
Infrastructure-based approaches are the key to achieve the strict requirements of traffic optimization services. In this scenario, the communication between vehicles and roadside units (RSUs) is essential to empowering the efficiency of traffic management solutions. However, most of vehicular re-routing solutions do not consider the effects of the signal degradation caused by urban obstacles in their system, which may not lead to the desired performance. In this scenario, this work proposes ORC (Optimizing RSU Coverage) an RSU placement optimization based on genetic algorithm considering signal degradation of urban obstacles for traffic management systems. Simulation results have shown that the proposed optimization improves the coverage and the services delivered by the system. In particular, ORC increases the coverage area in at least 15% and improves the vehicular traffic mobility in at least 20% when compared to literature solutions.
{"title":"Optimizing Infrastructure Placement with Genetic Algorithm: A Traffic Management Use Case","authors":"Matheus Ferraroni Sanches, A. M. Souza, W. Lobato, L. Villas","doi":"10.1109/LATINCOM48065.2019.8937875","DOIUrl":"https://doi.org/10.1109/LATINCOM48065.2019.8937875","url":null,"abstract":"Infrastructure-based approaches are the key to achieve the strict requirements of traffic optimization services. In this scenario, the communication between vehicles and roadside units (RSUs) is essential to empowering the efficiency of traffic management solutions. However, most of vehicular re-routing solutions do not consider the effects of the signal degradation caused by urban obstacles in their system, which may not lead to the desired performance. In this scenario, this work proposes ORC (Optimizing RSU Coverage) an RSU placement optimization based on genetic algorithm considering signal degradation of urban obstacles for traffic management systems. Simulation results have shown that the proposed optimization improves the coverage and the services delivered by the system. In particular, ORC increases the coverage area in at least 15% and improves the vehicular traffic mobility in at least 20% when compared to literature solutions.","PeriodicalId":120312,"journal":{"name":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130837375","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}
Pub Date : 2019-11-01DOI: 10.1109/LATINCOM48065.2019.8937864
A. R. Svaigen, Heitor S. Ramos, L. B. Ruiz, A. Loureiro
This paper proposes the Dynamic Temporal Mix-Zone Placement (DTMZP), a novel heuristic approach for the optimal mix-zone placement problem in Location-Based Services privacy. Mix-zone is a privacy model that changes the pseudonym of $n$ mobile entities (e.g., vehicles) that cross a specific geographic region at a given time interval. We present a formal definition of DTMZP and evaluate it through simulations using the Cab-spotting dataset. We evaluate DTMZP considering the mix-zones coverage and pseudonymisation rates. The obtained results reveal a coverage rate of 88.56% and a pseudonymisation rate of 77.86% in the best scenario.
{"title":"Dynamic Temporal Mix-Zone Placement Approach for Location-Based Services Privacy","authors":"A. R. Svaigen, Heitor S. Ramos, L. B. Ruiz, A. Loureiro","doi":"10.1109/LATINCOM48065.2019.8937864","DOIUrl":"https://doi.org/10.1109/LATINCOM48065.2019.8937864","url":null,"abstract":"This paper proposes the Dynamic Temporal Mix-Zone Placement (DTMZP), a novel heuristic approach for the optimal mix-zone placement problem in Location-Based Services privacy. Mix-zone is a privacy model that changes the pseudonym of $n$ mobile entities (e.g., vehicles) that cross a specific geographic region at a given time interval. We present a formal definition of DTMZP and evaluate it through simulations using the Cab-spotting dataset. We evaluate DTMZP considering the mix-zones coverage and pseudonymisation rates. The obtained results reveal a coverage rate of 88.56% and a pseudonymisation rate of 77.86% in the best scenario.","PeriodicalId":120312,"journal":{"name":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131252241","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}
Pub Date : 2019-11-01DOI: 10.1109/LATINCOM48065.2019.8937919
A. H. Tacuri
In recent years there has been a recent interest in implementing the applications of terrestrial systems but in underwater communications systems (UWS). These systems presents technical challenges mainly due to the composition of the water and the phenomena that occur only in these environments. In order to improve the performance of UWS, techniques that have been proposed for wireless terrestrial communications systems must be studied but considering the characteristics of the underwater channel. Thus, this paper presents closed-form expressions that allows to evaluate the spectral efficiency (in terms of out-of-band emissions) of UWS using the Generalized Frequency Division Multiplexing (GFDM) waveform. These closed-form expressions are used to obtain numerical results for many different parameters system, allowing a Quantitative evaluation of the spectral performance.
{"title":"A Closed-Form Spectral Analysis of GFDM in Underwater Communication Systems","authors":"A. H. Tacuri","doi":"10.1109/LATINCOM48065.2019.8937919","DOIUrl":"https://doi.org/10.1109/LATINCOM48065.2019.8937919","url":null,"abstract":"In recent years there has been a recent interest in implementing the applications of terrestrial systems but in underwater communications systems (UWS). These systems presents technical challenges mainly due to the composition of the water and the phenomena that occur only in these environments. In order to improve the performance of UWS, techniques that have been proposed for wireless terrestrial communications systems must be studied but considering the characteristics of the underwater channel. Thus, this paper presents closed-form expressions that allows to evaluate the spectral efficiency (in terms of out-of-band emissions) of UWS using the Generalized Frequency Division Multiplexing (GFDM) waveform. These closed-form expressions are used to obtain numerical results for many different parameters system, allowing a Quantitative evaluation of the spectral performance.","PeriodicalId":120312,"journal":{"name":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128156667","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}
Pub Date : 2019-11-01DOI: 10.1109/LATINCOM48065.2019.8937905
B. Ahmed, M. Zeeshan, Sumbul Gulzar
Like other multicarrier schemes, the most likely 5G schemes, Filter Bank Multicarrier (FBMC) and Generalized Frequency Division Multiplexing (GFDM) suffer from carrier frequency offset (CFO) which causes significant degradation in the BER of either modulation scheme. After presenting a brief block level implementation architecture and representation of both FBMC and GFDM, we propose novel usage of Data-Aided (DA) efficient algorithm based on modified Maximum Likelihood (ML) principle for the estimation of CFO in FBMC and GFDM schemes. The estimation performance is analyzed in terms of Mean Square Error (MSE), both in the presence of Gaussian noise and stanford university interim (SUI) channel models. To verify the effectiveness of the proposed estimation, the performance is compared with Cramer-Rao Lower Bound (CRLB) and it is shown that MSE achieves CRLB for moderate and higher values of SNR. we also compare the performance of the proposed estimator with data-aided near maximum likelihood estimator for FBMC under 6-tap Rician channel and Kalman filter based iterative algorithm for GFDM in Gaussian noise.
与其他多载波方案一样，最有可能的5G方案、滤波器组多载波(FBMC)和广义频分复用(GFDM)都存在载波频率偏移(CFO)，这会导致两种调制方案的误码率显著下降。在简要介绍了FBMC和GFDM的块级实现架构和表示之后，我们提出了一种基于改进的最大似然(ML)原理的数据辅助(DA)高效算法的新用法，用于FBMC和GFDM方案中的CFO估计。在存在高斯噪声和stanford university interim (SUI)信道模型的情况下，从均方误差(MSE)的角度分析了估计性能。为了验证所提出估计的有效性，将其性能与Cramer-Rao下界(CRLB)进行了比较，结果表明，MSE在中等和较高信噪比值下实现了CRLB。我们还将所提出的估计方法与数据辅助的FBMC近极大似然估计方法和高斯噪声下基于卡尔曼滤波的GFDM迭代算法的性能进行了比较。
{"title":"An Efficient Algorithm for CFO Estimation in FBMC and GFDM under SUI Channel Models","authors":"B. Ahmed, M. Zeeshan, Sumbul Gulzar","doi":"10.1109/LATINCOM48065.2019.8937905","DOIUrl":"https://doi.org/10.1109/LATINCOM48065.2019.8937905","url":null,"abstract":"Like other multicarrier schemes, the most likely 5G schemes, Filter Bank Multicarrier (FBMC) and Generalized Frequency Division Multiplexing (GFDM) suffer from carrier frequency offset (CFO) which causes significant degradation in the BER of either modulation scheme. After presenting a brief block level implementation architecture and representation of both FBMC and GFDM, we propose novel usage of Data-Aided (DA) efficient algorithm based on modified Maximum Likelihood (ML) principle for the estimation of CFO in FBMC and GFDM schemes. The estimation performance is analyzed in terms of Mean Square Error (MSE), both in the presence of Gaussian noise and stanford university interim (SUI) channel models. To verify the effectiveness of the proposed estimation, the performance is compared with Cramer-Rao Lower Bound (CRLB) and it is shown that MSE achieves CRLB for moderate and higher values of SNR. we also compare the performance of the proposed estimator with data-aided near maximum likelihood estimator for FBMC under 6-tap Rician channel and Kalman filter based iterative algorithm for GFDM in Gaussian noise.","PeriodicalId":120312,"journal":{"name":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124064554","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}
Pub Date : 2019-11-01DOI: 10.1109/LATINCOM48065.2019.8937936
Z. Felfli, Mohamed Kerwat, R. George, K. Shujaee
Community detection is an active field of research in Network Science. It aims at understanding the structure and gaining insight into the dynamics of real networks. We have recently developed a community structure algorithm that approaches the problem from the perspective of statistical physics to propose a density driven formulation for community detection- the Community Density Rank (CDR) algorithm. Here we compare the performance of the CDR against state-of-the-art community detection algorithms, namely Infomap, Louvain, Fast-greedy and Walktrap. LFR benchmark networks with up to 40K nodes, and mixing parameter, μ up to 0.9 are used for this comparative study. We find that the CDR outperforms these comparison algorithms for a variety of network sizes, and community structures that vary from completely separable, to highly mixed. The CDR's ability to accurately discover communities in comparison to extant techniques, and its capability to unveil true hierarchical relations within the communities makes it a powerful technique for extracting community structures from data.
{"title":"Discovering Community Structure in Networks- A Comparative Study","authors":"Z. Felfli, Mohamed Kerwat, R. George, K. Shujaee","doi":"10.1109/LATINCOM48065.2019.8937936","DOIUrl":"https://doi.org/10.1109/LATINCOM48065.2019.8937936","url":null,"abstract":"Community detection is an active field of research in Network Science. It aims at understanding the structure and gaining insight into the dynamics of real networks. We have recently developed a community structure algorithm that approaches the problem from the perspective of statistical physics to propose a density driven formulation for community detection- the Community Density Rank (CDR) algorithm. Here we compare the performance of the CDR against state-of-the-art community detection algorithms, namely Infomap, Louvain, Fast-greedy and Walktrap. LFR benchmark networks with up to 40K nodes, and mixing parameter, μ up to 0.9 are used for this comparative study. We find that the CDR outperforms these comparison algorithms for a variety of network sizes, and community structures that vary from completely separable, to highly mixed. The CDR's ability to accurately discover communities in comparison to extant techniques, and its capability to unveil true hierarchical relations within the communities makes it a powerful technique for extracting community structures from data.","PeriodicalId":120312,"journal":{"name":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116761079","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}
Pub Date : 2019-11-01DOI: 10.1109/LATINCOM48065.2019.8938004
Wesley S. Costa, J. L. A. Samatelo, H. Rocha, M. Segatto, Jair A. L. Silva
Fast fading communication channels are difficult to be estimated with conventional methods like least square (LS) or minimum mean square error (MMSE). Hence, the purpose of this paper is to investigate the applicability of deep learning architectures at the equalization of multipath single-input single-output visible light communication (VLC) channels. An equalization scheme using convolution neural networks (CNN) is proposed in orthogonal frequency division multiplexing (OFDM) based VLC systems for direct channel equalization, without the need of channel estimation, interpolation and element-wised division. The performance of the, hereafter denominated CNN-Direct Equalizer architecture, was evaluated in terms of mean square error (MSE), bit error rate (BER) and error vector magnitude (EVM). The simulation results show that the proposed architecture outperforms systems with LS estimators, at low values of signal-to-noise ratio (SNR < 10 dB), thus validating the CNN based direct equalization of such noisy channels.
{"title":"Direct Equalization with Convolutional Neural Networks in OFDM based VLC Systems","authors":"Wesley S. Costa, J. L. A. Samatelo, H. Rocha, M. Segatto, Jair A. L. Silva","doi":"10.1109/LATINCOM48065.2019.8938004","DOIUrl":"https://doi.org/10.1109/LATINCOM48065.2019.8938004","url":null,"abstract":"Fast fading communication channels are difficult to be estimated with conventional methods like least square (LS) or minimum mean square error (MMSE). Hence, the purpose of this paper is to investigate the applicability of deep learning architectures at the equalization of multipath single-input single-output visible light communication (VLC) channels. An equalization scheme using convolution neural networks (CNN) is proposed in orthogonal frequency division multiplexing (OFDM) based VLC systems for direct channel equalization, without the need of channel estimation, interpolation and element-wised division. The performance of the, hereafter denominated CNN-Direct Equalizer architecture, was evaluated in terms of mean square error (MSE), bit error rate (BER) and error vector magnitude (EVM). The simulation results show that the proposed architecture outperforms systems with LS estimators, at low values of signal-to-noise ratio (SNR < 10 dB), thus validating the CNN based direct equalization of such noisy channels.","PeriodicalId":120312,"journal":{"name":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129458987","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}
Pub Date : 2019-11-01DOI: 10.1109/LATINCOM48065.2019.8938023
C. Gutiérrez, Willie K. Harrison, M. Rice
This paper deals with the mathematical characterization and statistical analysis of a set of empirical Doppler spectra that were obtained from measurements of a vehicle-to-vehicle (V2V) communication channel in mountainous terrain near Provo, Utah. A reference statistical model of locally non-wide-sense stationary uncorrelated scattering (non-WSSUS) V2V channels is presented to lay the groundwork for the characterization of the measured Doppler spectra. A theoretical analysis of the reference model's spectral properties shows that the Doppler spectrum of non-WSSUS V2V channels is a frequency-dependent function. This theoretical observation explains the differences among Doppler spectra measured simultaneously at different carrier frequencies by transmitting a wideband multicarrier probe signal. The results presented in this paper indicate that for the measurements experiment conducted in Provo, the V2V propagation channel can be modeled by a locally non-WSSUS random process.
{"title":"V2V Propagation in Mountainous Terrain: Part II—Modeling Results","authors":"C. Gutiérrez, Willie K. Harrison, M. Rice","doi":"10.1109/LATINCOM48065.2019.8938023","DOIUrl":"https://doi.org/10.1109/LATINCOM48065.2019.8938023","url":null,"abstract":"This paper deals with the mathematical characterization and statistical analysis of a set of empirical Doppler spectra that were obtained from measurements of a vehicle-to-vehicle (V2V) communication channel in mountainous terrain near Provo, Utah. A reference statistical model of locally non-wide-sense stationary uncorrelated scattering (non-WSSUS) V2V channels is presented to lay the groundwork for the characterization of the measured Doppler spectra. A theoretical analysis of the reference model's spectral properties shows that the Doppler spectrum of non-WSSUS V2V channels is a frequency-dependent function. This theoretical observation explains the differences among Doppler spectra measured simultaneously at different carrier frequencies by transmitting a wideband multicarrier probe signal. The results presented in this paper indicate that for the measurements experiment conducted in Provo, the V2V propagation channel can be modeled by a locally non-WSSUS random process.","PeriodicalId":120312,"journal":{"name":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129593033","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}
Pub Date : 2019-11-01DOI: 10.1109/LATINCOM48065.2019.8937979
Rogério Pereira Junior, C. Rocha, B. Chang
In this work, we analyze the effect of channel estimation errors on the bit error rate (BER) of a novel widely linear frequency domain iterative equalizer for single carrier systems under the effect of multiple interferences. It is shown through simulations that the error performance when using the proposed widely linear structure is better when compared to the regular widely linear one and the strictly linear versions.
{"title":"On the Effect of Channel Estimation Errors in WL IB-DFE SC-FDE Systems for Interference Cancellation","authors":"Rogério Pereira Junior, C. Rocha, B. Chang","doi":"10.1109/LATINCOM48065.2019.8937979","DOIUrl":"https://doi.org/10.1109/LATINCOM48065.2019.8937979","url":null,"abstract":"In this work, we analyze the effect of channel estimation errors on the bit error rate (BER) of a novel widely linear frequency domain iterative equalizer for single carrier systems under the effect of multiple interferences. It is shown through simulations that the error performance when using the proposed widely linear structure is better when compared to the regular widely linear one and the strictly linear versions.","PeriodicalId":120312,"journal":{"name":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129977622","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}
Pub Date : 2019-11-01DOI: 10.1109/LATINCOM48065.2019.8938022
Lucas B. Rondon, Joahannes Costa, G. P. R. Filho, L. Villas
Efficient content distribution in Vehicular Ad hoc Networks (VANETs) has been a critical challenge due to the VANETs highly dynamic topology. The Vehicular Named-Data Networking (VNDN) architecture has been proposed to deal with performance and reliability challenges in high-scale content delivery. Content-centric communication and in-network caching are characteristics of Named Data Networking (NDN) architecture and have great potential to improve content delivery in applications for VANETs. However, the integration of NDN architecture into VANETs generates uncontrolled Interest packet transmissions in the cache discovery process, which results in a waste of resources and diminishes the performance of the network. In this work, we propose the Content Discovery Protocol (CDP) to mitigate the broadcast storm problem in the VNDN cache discovery. When compared with other solutions in the literature, CDP protocol improves the content delivery rate by 66%, reduces the number of Interest transmissions in the cache discovery process by 82%, and decreasing the number of collisions by 68%.
{"title":"A Distance and Position-based Caching Discovery Protocol for Vehicular Named-Data Networks","authors":"Lucas B. Rondon, Joahannes Costa, G. P. R. Filho, L. Villas","doi":"10.1109/LATINCOM48065.2019.8938022","DOIUrl":"https://doi.org/10.1109/LATINCOM48065.2019.8938022","url":null,"abstract":"Efficient content distribution in Vehicular Ad hoc Networks (VANETs) has been a critical challenge due to the VANETs highly dynamic topology. The Vehicular Named-Data Networking (VNDN) architecture has been proposed to deal with performance and reliability challenges in high-scale content delivery. Content-centric communication and in-network caching are characteristics of Named Data Networking (NDN) architecture and have great potential to improve content delivery in applications for VANETs. However, the integration of NDN architecture into VANETs generates uncontrolled Interest packet transmissions in the cache discovery process, which results in a waste of resources and diminishes the performance of the network. In this work, we propose the Content Discovery Protocol (CDP) to mitigate the broadcast storm problem in the VNDN cache discovery. When compared with other solutions in the literature, CDP protocol improves the content delivery rate by 66%, reduces the number of Interest transmissions in the cache discovery process by 82%, and decreasing the number of collisions by 68%.","PeriodicalId":120312,"journal":{"name":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127883619","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}
Pub Date : 2019-11-01DOI: 10.1109/LATINCOM48065.2019.8937890
M. Rice
The standard polyphase channelizer from the software-defined radio literature is modified to produce a highly-efficient system for computing the narrowband output samples corresponding to the 64 unmodulated subcarriers in an IEEE 802.11p channel sounding signal. The reduction in computational complexity is important because V2V channel sounding experiments produce very large data files that must be processed as efficiently as possible. The results show that the reduction in the number of real-valued multipliers is more than 200,000 for downsample rates of interest.
{"title":"A Polyphase Filterbank for Computing Doppler Power Spectra in V2V Propagation Experiments","authors":"M. Rice","doi":"10.1109/LATINCOM48065.2019.8937890","DOIUrl":"https://doi.org/10.1109/LATINCOM48065.2019.8937890","url":null,"abstract":"The standard polyphase channelizer from the software-defined radio literature is modified to produce a highly-efficient system for computing the narrowband output samples corresponding to the 64 unmodulated subcarriers in an IEEE 802.11p channel sounding signal. The reduction in computational complexity is important because V2V channel sounding experiments produce very large data files that must be processed as efficiently as possible. The results show that the reduction in the number of real-valued multipliers is more than 200,000 for downsample rates of interest.","PeriodicalId":120312,"journal":{"name":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124393239","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}
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