Daisuke Inoue, K. Ota, M. Sawahashi, Satoshi Nagata
{"title":"Physical Cell ID Detection Probability Using Synchronization Signals of NB-IoT Radio Interface in 28-GHz Band","authors":"Daisuke Inoue, K. Ota, M. Sawahashi, Satoshi Nagata","doi":"10.1109/VTC2020-Spring48590.2020.9128375","DOIUrl":"https://doi.org/10.1109/VTC2020-Spring48590.2020.9128375","url":null,"abstract":"This paper presents the physical-layer cell identity (PCID) detection probability using the narrowband primary synchronization signal (NPSS) and narrowband secondary synchronization signal (NSSS) based on the narrowband Internet-of-Things (NB-IoT) radio interface considering frequency offset and the maximum Doppler frequency in the 28-GHz band. Simulation results show that autocorrelation based NPSS detection achieves almost the same PCID detection probability as that for cross-correlation based NPSS detection using frequency offset estimation and compensation before the NPSS received timing detection, while the former achieves a lower level of computational complexity than the latter. We also show that when using autocorrelation based NPSS detection, the loss in the PCID detection probability at the carrier frequency of $f_{c}=28$ GHz compared to that for $f_{c}=3.5$ GHz is only approximately 5% at the average received SNR of 0dB when the frequency error of a temperature compensated crystal oscillator of a set of user equipment (UE) is 20 ppm. Therefore, we conclude that the multiplexing schemes and sequences of NPSS and NSSS based on the NB-IoT radio interface associated with autocorrelation based NPSS detection will be applicable to the 28-GHz frequency spectra.","PeriodicalId":348099,"journal":{"name":"2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132205557","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":"A Semi-Distribution Congestion Control Algorithm for Event-Driven M2M Communications","authors":"Liu Yang, Heng Liu, P. Fan, L. Hao, Cong Ouyang","doi":"10.1109/VTC2020-Spring48590.2020.9129534","DOIUrl":"https://doi.org/10.1109/VTC2020-Spring48590.2020.9129534","url":null,"abstract":"Machine-to-Machine (M2M) communication is now playing a market-changing role in a wide range of business world. However, in event-driven M2M communications, a large number of devices activate within a short period of time, which in turn causes high radio congestion and severe access delay. In this paper, a semi-distribution congestion control algorithm (CCA) for event-driven M2M communications in LTE-Advanced networks is presented. This CCA uses the random access preamble idleness rate in a small number of slots to estimate the channel load. The eNodeB broadcasts the estimated value of traffic, so the M2M devices can calculate the control factor to control the flow. It is shown that, the throughput and delay performance of the proposed semi-distribution congestion control algorithm are significantly improved compared with the existing schemes.","PeriodicalId":348099,"journal":{"name":"2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129178104","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}
Hayato Tezuka, Masafumi Moriyama, K. Takizawa, F. Kojima
{"title":"Link-level Performance Evaluation of an ULNOMA system with TDD constructed by hardware","authors":"Hayato Tezuka, Masafumi Moriyama, K. Takizawa, F. Kojima","doi":"10.1109/VTC2020-Spring48590.2020.9129122","DOIUrl":"https://doi.org/10.1109/VTC2020-Spring48590.2020.9129122","url":null,"abstract":"The 5G will not only offer high speed and greater capacity communication but also support the IoT. To support IoT, it is important that next generation NodeB (gNB) will be able to deal with massive uplink signals transmitted from IoT devices. Non-orthogonal multiple access (NOMA) is one of the effective methods to handle massive signals from the IoT devices. However, when NOMA is used for downlink, it is necessary to perform signal separation on the user equipment (UE), which suffers from heavy load on UE. We consider that it is better to employ orthogonal multiple access (OMA) for downlink to prevent too much computational cost and power consumption for UE. Hence, we have studied a system that uses NOMA for uplink and OMA for downlink. The feature of our system is that single carrier is used for uplink to reduce peak to average power ratio (PAPR). Although the single carrier transmission with NOMA will be in demand in the future, most of the research is computer simulation. In this paper, we demonstrated and evaluated our system using hardware. We measured the performance difference between uplink using NOMA and downlink using OMA in terms of packet error rate (PER) to obtain tips to improve uplink performance. From the result, we confirmed that uplink NOMA could be performed well in hardware. However, to improve reliability, it is necessary for the system to incorporate some techniques such as diversity with uplink NOMA. Without the techniques, the uplink with NOMA is less reliable than downlink with OMA so far.","PeriodicalId":348099,"journal":{"name":"2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129211661","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":"CCA Threshold Impact on the MAC Layer Performance in IoT Networks","authors":"Abderrahman Ben Khalifa, Razvan Stanica","doi":"10.1109/VTC2020-Spring48590.2020.9129003","DOIUrl":"https://doi.org/10.1109/VTC2020-Spring48590.2020.9129003","url":null,"abstract":"While current medium access control solutions in low-power wide area networks are generally based on Aloha, recent studies demonstrated the interest of adding carrier sense mechanisms to the picture. In this paper, we investigate the impact of the carrier sense threshold parameter in this particular context. We show that its impact on the average behavior of the network is limited, but this changes when looking at the individual node performance. Our simulation results demonstrate an important heterogeneity among nodes, both in terms of packet success probability and of energy consumption. Moreover, the performance of the nodes is strongly correlated with the percentage of contending nodes that they can sense. By simply using two different carrier sense thresholds in the network, we achieve an increased fairness among nodes.","PeriodicalId":348099,"journal":{"name":"2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125378462","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}
Sungyoon Cho, Joohyun Do, Inhyoung Kim, Min-Goo Kim
{"title":"A Low Complexity Baseband Signal Compression for Data Transport in LTE-A and NR Systems","authors":"Sungyoon Cho, Joohyun Do, Inhyoung Kim, Min-Goo Kim","doi":"10.1109/VTC2020-Spring48590.2020.9128449","DOIUrl":"https://doi.org/10.1109/VTC2020-Spring48590.2020.9128449","url":null,"abstract":"The exponential growth of data rate in advanced wireless communication systems results in an overwhelming overhead on physical links that transport complex-value digital signal between Radio Frequency (RF) unit and Baseband Processor (BBP) at mobile terminal. To suppress this overhead, we present the data compression which lowers the bit-width of inphase (I) and quadrature(Q) sample to be transferred over RF-BBP link. The proposed compression schemes are based on floating-point transform and bit-level modification targeting for orthogonal frequency division multiplexing (OFDM) signal in Long Term Evolution (LTE) and New Radio (NR) systems, which lead to cost-effective implementation with a low latency and reduced computational complexity. Through theoretical analysis and performance evaluation, it is verified that the intended data rate using $4 times 4$ MIMO and 256QAM is achieved with an ignorable performance loss compared to the uncompressed mode, providing 25% compression ratio.","PeriodicalId":348099,"journal":{"name":"2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125388172","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}
Xin Qi, Keping Yu, Zheng Wen, San Hlaing Myint, Yutaka Katsuyama, Toshio Sato, K. Tokuda, Takuro Sato
{"title":"Blockchain-based Content-oriented Surveillance Network","authors":"Xin Qi, Keping Yu, Zheng Wen, San Hlaing Myint, Yutaka Katsuyama, Toshio Sato, K. Tokuda, Takuro Sato","doi":"10.1109/VTC2020-Spring48590.2020.9128532","DOIUrl":"https://doi.org/10.1109/VTC2020-Spring48590.2020.9128532","url":null,"abstract":"For the reason of public security, there are many surveillance actives taken places in either open areas or small areas. During an outburst of public eventuality, it is necessary to surveil public individuals. Based on the great number of populations nowadays, it is critical to propose efficient and secured data delivery network for surveillance networks. There are many different methods to surveil and secure an area, such as cameras and radio wave scanners. The modern surveillance networks are usually based on video content deliveries which consumes much network bandwidth and data security performance. Because it needs to efficiently deliver and protect the data generated by different devices. We propose a content-oriented IoT surveillance network, currently under development, which aims to identify dangerous individuals with various sensors and track the individuals through areas. This paper describes the concept of simulated passive imaging and identifying for conceal objects, various sensors association for person tracking and its traffic volume reduction. The data security in the network uses trust verification concept from blockchain technology. There are simulation and experiment to prove the work valid.","PeriodicalId":348099,"journal":{"name":"2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125409570","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}
Steven Knowles Flanagan, Xiaohong Peng, Irfan Yusoff, Jianhua He
{"title":"Empirical Investigation of SDR-based DSRC Communication","authors":"Steven Knowles Flanagan, Xiaohong Peng, Irfan Yusoff, Jianhua He","doi":"10.1109/VTC2020-Spring48590.2020.9128539","DOIUrl":"https://doi.org/10.1109/VTC2020-Spring48590.2020.9128539","url":null,"abstract":"In this paper we investigate the performance of Dedicated Short-Range Communications (DSRC) or IEEE 802. 11p/OCB transceiver gathering performance statistics and relating its usage for ensuring safety and mitigating collision avoidance in Vehicle-to-Vehicle (V2V) communications. To achieve this, we created a low-cost Software Defined Radio (SDR) based DSRC testbed. We focus on quality of service (QoS) and robustness of such a system to assess how it could be used to support road safety applications and assist cooperative awareness in smart cities. To deal with real-world scenarios, we established a testbed using SDR devices and tested in varied scenarios. Our experiments are tailored to give insights into the fundamental challenges regarding how the practical driving safety issues can be effectively addressed by different technologies such as SDR, V2V communications, sensing and their combination. The results we collected and analysed can be used to support future V2V experimentation.","PeriodicalId":348099,"journal":{"name":"2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126831462","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":"Doppler Power Characteristics Obtained from Calibrated Channel State Information for Human Activity Recognition","authors":"Ahmed Abdelgawwad, A. Catala, M. Pätzold","doi":"10.1109/VTC2020-Spring48590.2020.9129187","DOIUrl":"https://doi.org/10.1109/VTC2020-Spring48590.2020.9129187","url":null,"abstract":"This paper demonstrates the time-variant (TV) Doppler power characteristics of human activities using measured channel state information (CSI). We model the measured CSI as a complex channel transfer function corresponding to a 3D non-stationary multipath fading channel consisting of a fixed transmitter, a fixed receiver, fixed scatterers representing fixed objects, and a cluster of moving scatterers representing a moving person performing some human activities. We demonstrate the relationship between the TV Doppler frequency caused by each moving scatterer and the rate of change of its corresponding TV propagation delay. Furthermore, we express the TV mean Doppler shift in terms of the path gains of the fixed scatterers, the TV path gains, and the TV Doppler frequencies of the moving scatterers. To provide an insight into the TV Doppler power characteristics of the measured calibrated CSI, we employ the spectrogram from which we derive the TV mean Doppler shift. Finally, we present the spectrograms and the TV mean Doppler shifts of the measured calibrated CSI for different human activities. The results show the possibility of designing human activity recognition systems using commercial Wi-Fi devices by employing deep learning or machine learning algorithms.","PeriodicalId":348099,"journal":{"name":"2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126820609","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":"Frequency and Time Spreading for Uplink URLLC Transmission","authors":"S. Tsai, Chia-Hsin Lai, Xiu-Sheng Li","doi":"10.1109/VTC2020-Spring48590.2020.9128389","DOIUrl":"https://doi.org/10.1109/VTC2020-Spring48590.2020.9128389","url":null,"abstract":"We propose a new transmission scheme for uplink URLLC systems, which can coexist with the eMbb transmission while can still meet the reliability and latency requirements of the URLLC. The proposed scheme spreads the data in both time and frequency domains. The performance of the proposed system is analyzed and closed form expressions are derived. From the analytical results, we optimize the parameters including constellation levels, spreading length and transmit power to maximize the sum rate of the URLLC UE. Simulation results show that the proposed solution significantly improve the performance and the data rate can be up to 8.9 Mpbs in the LTE TDL-C nominal channel with co-existence and achieved URLLC requirements.","PeriodicalId":348099,"journal":{"name":"2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126352357","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}