Pub Date : 2020-12-14DOI: 10.1109/ANTS50601.2020.9342773
S. Singh, Kamal Agrawal, Keshav Singh, Chih-Peng Li, Wan-Jen Huang
In this work, we investigate the performance of best downlink signal to noise ratio (BDS) based unmanned aerial vehicle (UAV) selection scheme in multi-UAV relaying network, where multiple UAVs assist the communication between two ground users (GUs). Firstly, the best UAV is selected using BDS based selection criterion, then, the closed form expressions for the outage probability and throughput of the multi-UAV assisted relay network are derived considering Nakagami-m distributed fading channels. Furthermore, an optimization problem is formulated to ensure maximum system throughput performance by finding the optimal 3D-coordinates (position) of the selected UAV. In addition to this, we derive an upper bound to the system throughput which simplifies the optimization problem and is used in finding a sub-optimal solution to the optimization problem. By Monte Carlo simulation, we validate all the results.
{"title":"Position based Throughput Maximization of Multi-UAV-assisted Relay Networks","authors":"S. Singh, Kamal Agrawal, Keshav Singh, Chih-Peng Li, Wan-Jen Huang","doi":"10.1109/ANTS50601.2020.9342773","DOIUrl":"https://doi.org/10.1109/ANTS50601.2020.9342773","url":null,"abstract":"In this work, we investigate the performance of best downlink signal to noise ratio (BDS) based unmanned aerial vehicle (UAV) selection scheme in multi-UAV relaying network, where multiple UAVs assist the communication between two ground users (GUs). Firstly, the best UAV is selected using BDS based selection criterion, then, the closed form expressions for the outage probability and throughput of the multi-UAV assisted relay network are derived considering Nakagami-m distributed fading channels. Furthermore, an optimization problem is formulated to ensure maximum system throughput performance by finding the optimal 3D-coordinates (position) of the selected UAV. In addition to this, we derive an upper bound to the system throughput which simplifies the optimization problem and is used in finding a sub-optimal solution to the optimization problem. By Monte Carlo simulation, we validate all the results.","PeriodicalId":426651,"journal":{"name":"2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126432999","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 : 2020-12-14DOI: 10.1109/ANTS50601.2020.9342799
Suraj Dhar, Adrish Banerjee, P. Sircar
In this paper we have considered an energy harvesting hybrid massive MIMO cooperative NOMA scheme using hybrid SWIPT protocol in a multiuser cell. Semi-orthogonal User Selection- Receive Antenna Selection Algorithm (SUS-RAS) algorithm is used to create the zero-forcing user set and select the receive antennas of each user for signal reception. Then User Matching-Receive Antenna Selection Algorithm (UM-RAS) is used to group the matched users with the users in the zero-forcing user set and also to select the antennas for signal reception. MaxMax algorithm is used to select the antenna pair for relaying between the users in each cluster. Finally, some numerical studies are shown that demonstrate the advantage of massive MIMO concept, cooperative NOMA along with hybrid SWIPT protocol for energy harvesting.
{"title":"On Energy Harvesting in Hybrid Massive MIMO Cooperative NOMA in a Multiuser Cell","authors":"Suraj Dhar, Adrish Banerjee, P. Sircar","doi":"10.1109/ANTS50601.2020.9342799","DOIUrl":"https://doi.org/10.1109/ANTS50601.2020.9342799","url":null,"abstract":"In this paper we have considered an energy harvesting hybrid massive MIMO cooperative NOMA scheme using hybrid SWIPT protocol in a multiuser cell. Semi-orthogonal User Selection- Receive Antenna Selection Algorithm (SUS-RAS) algorithm is used to create the zero-forcing user set and select the receive antennas of each user for signal reception. Then User Matching-Receive Antenna Selection Algorithm (UM-RAS) is used to group the matched users with the users in the zero-forcing user set and also to select the antennas for signal reception. MaxMax algorithm is used to select the antenna pair for relaying between the users in each cluster. Finally, some numerical studies are shown that demonstrate the advantage of massive MIMO concept, cooperative NOMA along with hybrid SWIPT protocol for energy harvesting.","PeriodicalId":426651,"journal":{"name":"2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131330774","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 : 2020-12-14DOI: 10.1109/ANTS50601.2020.9342753
P. Mandal
Virtual network function (vnf) can be useful for efficient use of cloud resources, specially for 5G networks, where dynamic creation, modification and deletion of virtual network functions are of special need. OpenStack is an open source cloud computing platform, where it is possible to create any virtual network function on demand. During creation of virtual network function, using Tacker or Mistral interface of OpenStack, the problem can arrive with respect to the reachability of vnf, which triggers the OpenStack to recreate the vnf. In this present work, we derive a closed form expression to analyze the availability of vnf considering the reachability problem during or after creation of virtual network function. Further, we compare availability of vnf considering two vnf creation procedures.
{"title":"On the Availability of 5G VNF from Initialization Perspective","authors":"P. Mandal","doi":"10.1109/ANTS50601.2020.9342753","DOIUrl":"https://doi.org/10.1109/ANTS50601.2020.9342753","url":null,"abstract":"Virtual network function (vnf) can be useful for efficient use of cloud resources, specially for 5G networks, where dynamic creation, modification and deletion of virtual network functions are of special need. OpenStack is an open source cloud computing platform, where it is possible to create any virtual network function on demand. During creation of virtual network function, using Tacker or Mistral interface of OpenStack, the problem can arrive with respect to the reachability of vnf, which triggers the OpenStack to recreate the vnf. In this present work, we derive a closed form expression to analyze the availability of vnf considering the reachability problem during or after creation of virtual network function. Further, we compare availability of vnf considering two vnf creation procedures.","PeriodicalId":426651,"journal":{"name":"2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131388166","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 : 2020-12-14DOI: 10.1109/ants50601.2020.9342813
{"title":"ANTS 2020 Committees","authors":"","doi":"10.1109/ants50601.2020.9342813","DOIUrl":"https://doi.org/10.1109/ants50601.2020.9342813","url":null,"abstract":"","PeriodicalId":426651,"journal":{"name":"2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121254941","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 : 2020-12-14DOI: 10.1109/ANTS50601.2020.9342804
Lalitha Chinmayee, M. Hurali, A. Patil
Anonymous Communication Networks (ACNs) provide privacy and anonymity to the users of the Internet. Traffic classification in ACNs is an emerging area of research due to its benefits in network management tasks like network security, Quality of Service provisioning, and in Research and Development of ACNs. Out of the well-known traffic classification approaches available, Machine Learning (ML) based approach has proven to be advantageous over the port-based and payload based approach. Using a publicly released Anon17 dataset, this work presents an ML-based traffic classification technique in ACNs. The proposed technique performs on the fly classification, which involves the classification of traffic as early as possible using the first few packets of traffic flow. The proposed on the fly classification technique outperforms the state of the art technique in ACNs with increased classification accuracy, F measure and requires less number of packets in traffic flow to achieve highest possible performance metrics.
{"title":"On the fly classification of traffic in Anonymous Communication Networks using a Machine Learning approach","authors":"Lalitha Chinmayee, M. Hurali, A. Patil","doi":"10.1109/ANTS50601.2020.9342804","DOIUrl":"https://doi.org/10.1109/ANTS50601.2020.9342804","url":null,"abstract":"Anonymous Communication Networks (ACNs) provide privacy and anonymity to the users of the Internet. Traffic classification in ACNs is an emerging area of research due to its benefits in network management tasks like network security, Quality of Service provisioning, and in Research and Development of ACNs. Out of the well-known traffic classification approaches available, Machine Learning (ML) based approach has proven to be advantageous over the port-based and payload based approach. Using a publicly released Anon17 dataset, this work presents an ML-based traffic classification technique in ACNs. The proposed technique performs on the fly classification, which involves the classification of traffic as early as possible using the first few packets of traffic flow. The proposed on the fly classification technique outperforms the state of the art technique in ACNs with increased classification accuracy, F measure and requires less number of packets in traffic flow to achieve highest possible performance metrics.","PeriodicalId":426651,"journal":{"name":"2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129007519","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 : 2020-12-14DOI: 10.1109/ANTS50601.2020.9342846
R. Lent, Gandhimathi Velusamy
A series of experiments were conducted using both CloudLab and a dedicated laboratory testbed to test the performance of the Cognitive Space Gateways (CSG)-an approach to DTN routing that exploits a spiking neural network as a learning element to discover and dynamically forward data bundles. The experiments focus on evaluating the average response time of bundles and throughput of a data flow sent at given traffic intensity over an emulated space network. The same topology and identical, repeatable tests were run on both facilities. The results help to validate the performance of the CSG routing approach compared to the Contact Graph Routing algorithm using independent experimental settings. Furthermore, the experiments reveal some of the challenges associated to the use of network virtualization, as done in CloudLab, when applied to network performance measurements.
{"title":"Testing Smart DTN Routing Using Cloudlab","authors":"R. Lent, Gandhimathi Velusamy","doi":"10.1109/ANTS50601.2020.9342846","DOIUrl":"https://doi.org/10.1109/ANTS50601.2020.9342846","url":null,"abstract":"A series of experiments were conducted using both CloudLab and a dedicated laboratory testbed to test the performance of the Cognitive Space Gateways (CSG)-an approach to DTN routing that exploits a spiking neural network as a learning element to discover and dynamically forward data bundles. The experiments focus on evaluating the average response time of bundles and throughput of a data flow sent at given traffic intensity over an emulated space network. The same topology and identical, repeatable tests were run on both facilities. The results help to validate the performance of the CSG routing approach compared to the Contact Graph Routing algorithm using independent experimental settings. Furthermore, the experiments reveal some of the challenges associated to the use of network virtualization, as done in CloudLab, when applied to network performance measurements.","PeriodicalId":426651,"journal":{"name":"2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114815560","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 : 2020-12-14DOI: 10.1109/ANTS50601.2020.9342832
S. K. Vankayala, G. Potnis, Konchady Gautam Shenoy, Seungil Yoon, Swaraj Kumar
Recently, there has been a significant increase in users as well as user data requirements in mobile communications. This is attributed to advances in mobile communication systems and networking, along with the advent of fifth generation (5G) mobile systems. As a result, front haul data compression techniques have become necessary to meet QoS requirements. In this paper, we resort to contemporary machine learning techniques and provide algorithms to, respectively, dynamically predict and compress the front haul data. The proposed scheme involves evaluating the Error Vector Magnitude (EVM) metric and comparing the performance with existing schemes. Furthermore, these algorithms can be deployed on contemporary C-RAN as well as O-RAN architectures. From simulations, we are able to demonstrate a compression of about 65%.
{"title":"A Novel Front-haul Bandwidth Compression Method for RAN Systems","authors":"S. K. Vankayala, G. Potnis, Konchady Gautam Shenoy, Seungil Yoon, Swaraj Kumar","doi":"10.1109/ANTS50601.2020.9342832","DOIUrl":"https://doi.org/10.1109/ANTS50601.2020.9342832","url":null,"abstract":"Recently, there has been a significant increase in users as well as user data requirements in mobile communications. This is attributed to advances in mobile communication systems and networking, along with the advent of fifth generation (5G) mobile systems. As a result, front haul data compression techniques have become necessary to meet QoS requirements. In this paper, we resort to contemporary machine learning techniques and provide algorithms to, respectively, dynamically predict and compress the front haul data. The proposed scheme involves evaluating the Error Vector Magnitude (EVM) metric and comparing the performance with existing schemes. Furthermore, these algorithms can be deployed on contemporary C-RAN as well as O-RAN architectures. From simulations, we are able to demonstrate a compression of about 65%.","PeriodicalId":426651,"journal":{"name":"2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124796433","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 : 2020-12-14DOI: 10.1109/ANTS50601.2020.9342765
N. Singh, Ravikumar Keshavappa, Sonali, A. Dixit, S. Umesh
In the present world of satellites, miniaturization of satellite subsystems plays a vital role in launch capacity and operational maintenance. Free-space optical communications with lasers offer an attractive alternative to traditional radio frequency (RF) communications and enable a reduction in size, weight, and power (SWaP). In this work, we have studied and designed the transmitter module for nanosatellite-optical communication terminal (NOCT) to provide power-efficient and high data rate downlink using infrared lasers from low earth orbit satellites. In this paper, we present the requirements for the functional design of the transmitter system. We design an optical link for low-earth orbit (LEO) satellites and evaluate the relation between the bit error rate (BER) and receiver sensitivity for the pulse position modulation (PPM) systems. We also characterize the Erbium-doped fiber amplifier (EDFA) for validation of design using the free-space optical link.
{"title":"Design of transmitter communication module for nanosatellite optical communication terminal","authors":"N. Singh, Ravikumar Keshavappa, Sonali, A. Dixit, S. Umesh","doi":"10.1109/ANTS50601.2020.9342765","DOIUrl":"https://doi.org/10.1109/ANTS50601.2020.9342765","url":null,"abstract":"In the present world of satellites, miniaturization of satellite subsystems plays a vital role in launch capacity and operational maintenance. Free-space optical communications with lasers offer an attractive alternative to traditional radio frequency (RF) communications and enable a reduction in size, weight, and power (SWaP). In this work, we have studied and designed the transmitter module for nanosatellite-optical communication terminal (NOCT) to provide power-efficient and high data rate downlink using infrared lasers from low earth orbit satellites. In this paper, we present the requirements for the functional design of the transmitter system. We design an optical link for low-earth orbit (LEO) satellites and evaluate the relation between the bit error rate (BER) and receiver sensitivity for the pulse position modulation (PPM) systems. We also characterize the Erbium-doped fiber amplifier (EDFA) for validation of design using the free-space optical link.","PeriodicalId":426651,"journal":{"name":"2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124214531","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 : 2020-12-14DOI: 10.1109/ants50601.2020.9342833
{"title":"ANTS 2020 Program","authors":"","doi":"10.1109/ants50601.2020.9342833","DOIUrl":"https://doi.org/10.1109/ants50601.2020.9342833","url":null,"abstract":"","PeriodicalId":426651,"journal":{"name":"2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121495057","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 : 2020-12-14DOI: 10.1109/ANTS50601.2020.9342764
C. Shekhar, Sudipta Saha
In this paper we show a possible way to deal with the problem of severe WiFi interference in low power WSN/IoT-edge in the 2.4 GHz ISM band. Through extensive multi-frequency link-measurement experiments we demonstrate that under heavy congestion when the frequency band is fully occupied by WiFi channels, the multi-channel protocols for low power ZigBee communication should try to exploit all the 1 MHz separated 80 different frequencies instead of sticking to only the 16 standard channels. Through an in-depth analysis of the outdoor link measurement data we observe that the availability of the usable frequencies follows a well-known lévy characteristics. Exploiting this special property, we propose an efficient frequency searching mechanism that can quickly find a suitable frequency when the current operating frequency degrades. Our trace-based simulation results show that the proposed strategy can perform upto 80% faster compared to the naive random probe based searching.
{"title":"Fine-grained Frequencies to Combat Cross Technology Interference in IoT: A Measurement Study","authors":"C. Shekhar, Sudipta Saha","doi":"10.1109/ANTS50601.2020.9342764","DOIUrl":"https://doi.org/10.1109/ANTS50601.2020.9342764","url":null,"abstract":"In this paper we show a possible way to deal with the problem of severe WiFi interference in low power WSN/IoT-edge in the 2.4 GHz ISM band. Through extensive multi-frequency link-measurement experiments we demonstrate that under heavy congestion when the frequency band is fully occupied by WiFi channels, the multi-channel protocols for low power ZigBee communication should try to exploit all the 1 MHz separated 80 different frequencies instead of sticking to only the 16 standard channels. Through an in-depth analysis of the outdoor link measurement data we observe that the availability of the usable frequencies follows a well-known lévy characteristics. Exploiting this special property, we propose an efficient frequency searching mechanism that can quickly find a suitable frequency when the current operating frequency degrades. Our trace-based simulation results show that the proposed strategy can perform upto 80% faster compared to the naive random probe based searching.","PeriodicalId":426651,"journal":{"name":"2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124650363","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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