Pub Date : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708326
Archita Hore, S. Panda, Ayan Chakraborty, Sharba Bandyopadhyay, S. Chakrabarti
Neuromorphic circuits employ analog, digital or mixed signal operations to mimic the electrophysiological behaviour of a brain. A CMOS neuron circuit has been designed. This neuronal circuit has the capability to control several features of a neuron including spike width. A unique aspect of this study is that when spike width is decreased, spiking frequency of the circuit increases similar to biological neurons. The effects of spike width variation on other features such as mean inter spike interval and spike height have also been discussed. Further, the effects of temperature on the width of an action potential have been demonstrated. Performance of the circuit in terms of average power dissipation and energy consumption per spike have been evaluated. The proposed circuit looks promising to incorporate bio-plausible diversity in next generation spiking neural network architectures.
{"title":"Effects of Spike Width on Spiking Frequency in a CMOS Neuron Design Following a Subthreshold Approach","authors":"Archita Hore, S. Panda, Ayan Chakraborty, Sharba Bandyopadhyay, S. Chakrabarti","doi":"10.1109/ACTS53447.2021.9708326","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708326","url":null,"abstract":"Neuromorphic circuits employ analog, digital or mixed signal operations to mimic the electrophysiological behaviour of a brain. A CMOS neuron circuit has been designed. This neuronal circuit has the capability to control several features of a neuron including spike width. A unique aspect of this study is that when spike width is decreased, spiking frequency of the circuit increases similar to biological neurons. The effects of spike width variation on other features such as mean inter spike interval and spike height have also been discussed. Further, the effects of temperature on the width of an action potential have been demonstrated. Performance of the circuit in terms of average power dissipation and energy consumption per spike have been evaluated. The proposed circuit looks promising to incorporate bio-plausible diversity in next generation spiking neural network architectures.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120888622","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 : 2021-12-15DOI: 10.1109/ACTS53447.2021.9707906
Abhishek Dhar, Debasish Dhar, D. Gurjar, P. Pattanayak
Currently, billions of smart devices or objects are present in the Internet of Things (IoT) ecosystems worldwide, including homes, hospitals, factories, and transportation. As a result, the number of linked devices continues to rise at a rapid pace. To transfer the sensor or event data, these devices communicate with each other and the central node by utilizing various communication protocols. In this work, we use the MQTT protocol and Mosquitto tool to connect our developed IoT device to existing electrical appliances in a home and operate those devices both globally and locally using mobile phones, thereby making that primary equipment smarter. We also demonstrate the physical implementation of the setup and its potential attributes.
{"title":"IoT Based Methodology for Making Native Electrical Appliances Smart using MQTT Protocol","authors":"Abhishek Dhar, Debasish Dhar, D. Gurjar, P. Pattanayak","doi":"10.1109/ACTS53447.2021.9707906","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9707906","url":null,"abstract":"Currently, billions of smart devices or objects are present in the Internet of Things (IoT) ecosystems worldwide, including homes, hospitals, factories, and transportation. As a result, the number of linked devices continues to rise at a rapid pace. To transfer the sensor or event data, these devices communicate with each other and the central node by utilizing various communication protocols. In this work, we use the MQTT protocol and Mosquitto tool to connect our developed IoT device to existing electrical appliances in a home and operate those devices both globally and locally using mobile phones, thereby making that primary equipment smarter. We also demonstrate the physical implementation of the setup and its potential attributes.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121467615","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 : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708154
A. Singh, R. Chandan, S. Pal
This paper presents a parametric analysis of a substrate integrated waveguide fed slot antenna for Ka-band application. The slot’s comprehensive behavior and its resonance frequency dependence on its dimension, translational and rotational position, have been analyzed. The optimal return loss for the microstrip to SIW transition has been investigated by maximizing the tapering dimension for the Ka-band of operation by using a commercial 3D electromagnetic CST Microwave Studio Design Suit. The slot antenna resonates at various frequencies following parametric variation. For the study, 27.74 GHz resonance points have been considered, as it comes under the 28 GHz band spectrum. For this bandwidth, the broadside gain is more than 6 dB. Radiation efficiency typically stays over 75 percent across the whole operating band. The co-polarization to cross-polarization deviation for both XZ and YZ planes is more than 40 dB at the resonance point.
{"title":"Study of Substrate Integrated Waveguide Fed Slot Antenna for Ka Band Application","authors":"A. Singh, R. Chandan, S. Pal","doi":"10.1109/ACTS53447.2021.9708154","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708154","url":null,"abstract":"This paper presents a parametric analysis of a substrate integrated waveguide fed slot antenna for Ka-band application. The slot’s comprehensive behavior and its resonance frequency dependence on its dimension, translational and rotational position, have been analyzed. The optimal return loss for the microstrip to SIW transition has been investigated by maximizing the tapering dimension for the Ka-band of operation by using a commercial 3D electromagnetic CST Microwave Studio Design Suit. The slot antenna resonates at various frequencies following parametric variation. For the study, 27.74 GHz resonance points have been considered, as it comes under the 28 GHz band spectrum. For this bandwidth, the broadside gain is more than 6 dB. Radiation efficiency typically stays over 75 percent across the whole operating band. The co-polarization to cross-polarization deviation for both XZ and YZ planes is more than 40 dB at the resonance point.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116065332","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 : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708360
Durga Prasad Mishra, S. Behera
To date, Chipless Radio Frequency Identification (RFID) has become one of the prominent methods for identifying and detecting objects. The advantage of tagging technology over optical barcodes is that it does not rely on line-of-sight communication. In this paper, the design, simulation, and fabrication of chipless RFID transponders, based on the square Split-Ring Resonators (SRR) and the Koch-island fractal of the third iteration are analyzed. The Radar Cross Section (RCS) and frequency coding techniques are investigated along with a comparison, showing the vital features like physical footprint and spatial density etc. of the transponders. It leads to the cost reduction in tag manufacturing which is suitable for mass industrial production. The maximum RCS are found to be −20.90 dBsm and −25.6 dBsm for transponders 1 and 2 respectively. The spatial densities are found to be 0.125 bits/mm2 for tag 1 and 0.041 bits/mm2 for tag 2.
{"title":"Passive RFID Transponders Based on SRR and Koch-island Fractal for Bit-Coding Enhancement","authors":"Durga Prasad Mishra, S. Behera","doi":"10.1109/ACTS53447.2021.9708360","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708360","url":null,"abstract":"To date, Chipless Radio Frequency Identification (RFID) has become one of the prominent methods for identifying and detecting objects. The advantage of tagging technology over optical barcodes is that it does not rely on line-of-sight communication. In this paper, the design, simulation, and fabrication of chipless RFID transponders, based on the square Split-Ring Resonators (SRR) and the Koch-island fractal of the third iteration are analyzed. The Radar Cross Section (RCS) and frequency coding techniques are investigated along with a comparison, showing the vital features like physical footprint and spatial density etc. of the transponders. It leads to the cost reduction in tag manufacturing which is suitable for mass industrial production. The maximum RCS are found to be −20.90 dBsm and −25.6 dBsm for transponders 1 and 2 respectively. The spatial densities are found to be 0.125 bits/mm2 for tag 1 and 0.041 bits/mm2 for tag 2.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134052602","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 : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708383
Anusaya Swain, S. Hiremath, Koushik Batchu, Vijay Kumar
Over the past years, the demand to meet the bandwidth requirement forces us to increase the carrier frequency used for wireless communication. To fulfill the rapid increase of mobile data demand the research community addressed the development of wide radio bands such as millimeter wave (mmW) frequencies and others were attracted towards the optical communication frequency which allowed high data rates, better physical security, and avoids the interference of electromagnetic waves. With an exponential rise in the data traffic the terahertz frequency band seems to be promising to support the next generation wireless network beyond fifth-generation (5G) as well as bridging a gap between optical frequency range and millimeter wave frequency range. This paper provides a review on key technologies encountered in THz wireless communication systems such as channel modeling, beamforming, and beam tracking using Massive MIMO and use of artificial intelligence (AI) based framework to meet the future demands for future generation networks and also provide a case study on THz channel modeling using the machine learning technique. It also throws light on the challenges faced in THz communication.
{"title":"Recent Trends in Terahertz Communication: Applications and Open Research Problems","authors":"Anusaya Swain, S. Hiremath, Koushik Batchu, Vijay Kumar","doi":"10.1109/ACTS53447.2021.9708383","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708383","url":null,"abstract":"Over the past years, the demand to meet the bandwidth requirement forces us to increase the carrier frequency used for wireless communication. To fulfill the rapid increase of mobile data demand the research community addressed the development of wide radio bands such as millimeter wave (mmW) frequencies and others were attracted towards the optical communication frequency which allowed high data rates, better physical security, and avoids the interference of electromagnetic waves. With an exponential rise in the data traffic the terahertz frequency band seems to be promising to support the next generation wireless network beyond fifth-generation (5G) as well as bridging a gap between optical frequency range and millimeter wave frequency range. This paper provides a review on key technologies encountered in THz wireless communication systems such as channel modeling, beamforming, and beam tracking using Massive MIMO and use of artificial intelligence (AI) based framework to meet the future demands for future generation networks and also provide a case study on THz channel modeling using the machine learning technique. It also throws light on the challenges faced in THz communication.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133242265","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 : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708246
S. K. Bandari, C. V. R. Rao
With emerging trends in the internet-of-everything (IoE), there is a huge demand for transferring the data continuously to provide a seamless connection between autonomous devices. Undoubtedly an efficient way of handling short packets in ultra-reliable and low latency communication (URLLC) and massive machine-type communication (mMTC) scenarios is of utmost interest. To reduce the pilot overhead in such a short packet transmission, we propose a suitable scheme where the sparse vector is scaled by the fading channel. In this formulation, the sensing matrix will be the pseudo-random spreading matrix and the transmitted signal vector is modified with the channel. Decoding of the short packet at the receiver can be done first by identifying the support positions, for which no channel information is required, and estimating the symbols at nonzero positions. Further, in order to increase the reliability of the proposed scheme, single input multiple output (SIMO) configuration is also investigated.
{"title":"Enhanced sparse vector coding with limited pilot overhead for short packet transmission","authors":"S. K. Bandari, C. V. R. Rao","doi":"10.1109/ACTS53447.2021.9708246","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708246","url":null,"abstract":"With emerging trends in the internet-of-everything (IoE), there is a huge demand for transferring the data continuously to provide a seamless connection between autonomous devices. Undoubtedly an efficient way of handling short packets in ultra-reliable and low latency communication (URLLC) and massive machine-type communication (mMTC) scenarios is of utmost interest. To reduce the pilot overhead in such a short packet transmission, we propose a suitable scheme where the sparse vector is scaled by the fading channel. In this formulation, the sensing matrix will be the pseudo-random spreading matrix and the transmitted signal vector is modified with the channel. Decoding of the short packet at the receiver can be done first by identifying the support positions, for which no channel information is required, and estimating the symbols at nonzero positions. Further, in order to increase the reliability of the proposed scheme, single input multiple output (SIMO) configuration is also investigated.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127574550","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 : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708289
H. Pal, Adarsh Kumar, A. Vishwakarma
The electrocardiogram (ECG) is a salient signal that is commonly utilized to diagnose heart patients. The recording of ECG signals generates a large amount of data when continuous monitoring of the heart is necessary. Hence, there is a strong motivation to develop a suitable compression technique to minimize bandwidth and memory requirements. In this context, this work proposes a compression technique using tunable-Q wavelet transform (TQWT) and an optimized dead-zone quantizer (ODZQ). The TQWT is used for the decomposition of ECG signal and DZQ for thresholding and quantization. The swarm-based method, particle swarm optimization (PSO) is used to obtain the optimized threshold values. The compressed signal is obtained by thresholding, quantization, and encoding of quantized coefficients. Encoding is performed by utilizing run-length encoding (RLE), which helps to achieve further compression. The proposed method is assessed using percentage-root-mean square difference (PRD), compression ratio (CR), and quality score (QS). The obtained results from the proposed method are CR=17.2553, PRD=2.9360, and QS=6.4354.
{"title":"TQWT based Electrocardiogram Compression using Optimized Thresholding","authors":"H. Pal, Adarsh Kumar, A. Vishwakarma","doi":"10.1109/ACTS53447.2021.9708289","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708289","url":null,"abstract":"The electrocardiogram (ECG) is a salient signal that is commonly utilized to diagnose heart patients. The recording of ECG signals generates a large amount of data when continuous monitoring of the heart is necessary. Hence, there is a strong motivation to develop a suitable compression technique to minimize bandwidth and memory requirements. In this context, this work proposes a compression technique using tunable-Q wavelet transform (TQWT) and an optimized dead-zone quantizer (ODZQ). The TQWT is used for the decomposition of ECG signal and DZQ for thresholding and quantization. The swarm-based method, particle swarm optimization (PSO) is used to obtain the optimized threshold values. The compressed signal is obtained by thresholding, quantization, and encoding of quantized coefficients. Encoding is performed by utilizing run-length encoding (RLE), which helps to achieve further compression. The proposed method is assessed using percentage-root-mean square difference (PRD), compression ratio (CR), and quality score (QS). The obtained results from the proposed method are CR=17.2553, PRD=2.9360, and QS=6.4354.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124588233","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 : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708242
Byomakesh Mahapatra, Anuradha Verma, Deepika Gupta, Pankaj Sharma, A. K. Turuk
In the fifth-generation (5G) network, dependency on the cellular platforms increases due to an increase in the number of cellular and wireless devices. In such network, a hotspot situation arises when the user density goes beyond the threshold capacity. To reduce the load of this hotspot we have proposed a traffic-aware proactive load balancing (TPLBA) strategy. This strategy used a feedback approach to monitor and control the traffic load at the cellular base station or gNodeB. When the traffic load goes beyond a certain value, the main control unit (MCU) present at the base band unit (BBU) takes preventive actions by putting one or more number of F-RRHs at the probable hotspot. These F-RRH share the traffic load of the gNB to maintain the quality-of-service (QoS) of the cellular network. To implement the proposed strategy, we have used Tu-Vienna LTE simulator. Further, the simulation results show that the proposed TPLBA algorithm significantly improves the QoS by improving UE throughput, UE spectral efficiency, and blocking probability.
在第五代(5G)网络中，由于蜂窝和无线设备数量的增加，对蜂窝平台的依赖性增加。在这种网络中，当用户密度超过阈值容量时，就会出现热点现象。为了减少该热点的负载，我们提出了一种流量感知的主动负载平衡(TPLBA)策略。该策略使用反馈方法来监视和控制蜂窝基站或gndeb上的流量负载。当业务负载超过一定值时，BBU (base band unit)所在的MCU (main control unit)通过在可能的热点位置放置一个或多个f - rrh来采取预防措施。这些F-RRH分担gNB的流量负载，以维持蜂窝网络的QoS (quality-of-service)。为了实现所提出的策略，我们使用了Tu-Vienna LTE模拟器。仿真结果表明，TPLBA算法通过提高UE吞吐量、UE频谱效率和阻塞概率，显著提高了QoS。
{"title":"Traffic-Aware UAV Placement Strategies for Load Balancing in 5G Cellular Hotspots","authors":"Byomakesh Mahapatra, Anuradha Verma, Deepika Gupta, Pankaj Sharma, A. K. Turuk","doi":"10.1109/ACTS53447.2021.9708242","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708242","url":null,"abstract":"In the fifth-generation (5G) network, dependency on the cellular platforms increases due to an increase in the number of cellular and wireless devices. In such network, a hotspot situation arises when the user density goes beyond the threshold capacity. To reduce the load of this hotspot we have proposed a traffic-aware proactive load balancing (TPLBA) strategy. This strategy used a feedback approach to monitor and control the traffic load at the cellular base station or gNodeB. When the traffic load goes beyond a certain value, the main control unit (MCU) present at the base band unit (BBU) takes preventive actions by putting one or more number of F-RRHs at the probable hotspot. These F-RRH share the traffic load of the gNB to maintain the quality-of-service (QoS) of the cellular network. To implement the proposed strategy, we have used Tu-Vienna LTE simulator. Further, the simulation results show that the proposed TPLBA algorithm significantly improves the QoS by improving UE throughput, UE spectral efficiency, and blocking probability.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131304685","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 : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708341
M. Philip, Poonam Singh
The battery life of sensor nodes in a wireless sensor network (WSN) is usually limited. In most Internet of Things (IoT) applications, sensor nodes must operate reliably for a longer duration. Energy efficiency is crucial for extending the lifetime of sensor nodes. In addition, the radio settings should withstand a better data rate transmission while maintaining energy efficiency. LoRa/LoRaWAN is a low-power wide-area network (LPWAN) technology that has recently received a lot of interest. This work proposes a LoRa-based energy consumption model that can be used to estimate the amount of energy each sensor node element in a WSN consumes. The effect of sensing interval and spreading factor on battery lifetime is discussed to determine its effects, when used for field application.
{"title":"Energy Consumption Evaluation of LoRa Sensor Nodes in Wireless Sensor Network","authors":"M. Philip, Poonam Singh","doi":"10.1109/ACTS53447.2021.9708341","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708341","url":null,"abstract":"The battery life of sensor nodes in a wireless sensor network (WSN) is usually limited. In most Internet of Things (IoT) applications, sensor nodes must operate reliably for a longer duration. Energy efficiency is crucial for extending the lifetime of sensor nodes. In addition, the radio settings should withstand a better data rate transmission while maintaining energy efficiency. LoRa/LoRaWAN is a low-power wide-area network (LPWAN) technology that has recently received a lot of interest. This work proposes a LoRa-based energy consumption model that can be used to estimate the amount of energy each sensor node element in a WSN consumes. The effect of sensing interval and spreading factor on battery lifetime is discussed to determine its effects, when used for field application.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131698648","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 : 2021-12-15DOI: 10.1109/acts53447.2021.9708304
{"title":"[ACTS 2021 Front cover]","authors":"","doi":"10.1109/acts53447.2021.9708304","DOIUrl":"https://doi.org/10.1109/acts53447.2021.9708304","url":null,"abstract":"","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121527867","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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