Pub Date : 2020-12-14DOI: 10.1109/ANTS50601.2020.9342766
Rahul Makkar, Venugopalachary Kotha, D. Rawal, Vijay Kumar Chakka, N. Sharma
Power domain NOMA SISO system achieve more capacity compared to OMA system for a given power. To enhance the overall system capacity, NOMA-MIMO based downlink system with superposition coding (SC) coding is considered in this work. With the incorporation of MIMO, the detector subject to interuser as well as interantenna interference. Conventionally, after receiving the signal from the base station (BS), each user eliminates the interantenna interference using zero-forcing (ZF) based linear detector. This paper proposes low-complexity based QR-LRL detector to overcome jointly the interuser interference and interantenna interference. The performance of the proposed detector under BER and capacity metrics compared with ZFSIC and ML detectors. Simulation results show that the proposed receiver guarantees near ML performance with lower complexity for NOMA-MIMO downlink systems. It presents the sumrate improvement for various MIMO configurations with different modulation orders. It also provides optimal power allocation factor $(alpha)$ to experience the same BER at both the near user (NU) and the far user (FU) using ZF and QR-LRL detector.
{"title":"Low Complexity Based QR-LRL OSIC Detector for Downlink NOMA-MIMO Systems","authors":"Rahul Makkar, Venugopalachary Kotha, D. Rawal, Vijay Kumar Chakka, N. Sharma","doi":"10.1109/ANTS50601.2020.9342766","DOIUrl":"https://doi.org/10.1109/ANTS50601.2020.9342766","url":null,"abstract":"Power domain NOMA SISO system achieve more capacity compared to OMA system for a given power. To enhance the overall system capacity, NOMA-MIMO based downlink system with superposition coding (SC) coding is considered in this work. With the incorporation of MIMO, the detector subject to interuser as well as interantenna interference. Conventionally, after receiving the signal from the base station (BS), each user eliminates the interantenna interference using zero-forcing (ZF) based linear detector. This paper proposes low-complexity based QR-LRL detector to overcome jointly the interuser interference and interantenna interference. The performance of the proposed detector under BER and capacity metrics compared with ZFSIC and ML detectors. Simulation results show that the proposed receiver guarantees near ML performance with lower complexity for NOMA-MIMO downlink systems. It presents the sumrate improvement for various MIMO configurations with different modulation orders. It also provides optimal power allocation factor $(alpha)$ to experience the same BER at both the near user (NU) and the far user (FU) using ZF and QR-LRL detector.","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":"128430574","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/ANTS50601.2020.9342819
A. Paul, S. Mitra
The number of vehicles is drastically increasing worldwide, especially in large cities. Thus there is a need to model and enhance the traffic management to help meet this rising requirement. The primary purpose of traffic management is to reduce traffic congestion by optimizing traffic signal, which is currently one of the main concerns. Reinforcement Learning (RL) approaches in Intelligent Transportation System (ITS) are infeasible for traffic management of large road networks. However, Deep Reinforcement Learning (DRL) is capable of handling this enlarged problem. In order to manage the traffic flow of a large road network, there is a strong need for coordination between traffic signals of the intersections, enabling vehicles to pass through intersections more easily. In this paper, a single DRL agent manages the traffic signal of multiple intersections using policy gradient algorithm. In particular, the agent is trained with spatio-temporal data of the environment that allows it to perform action in different deep neural network models. The simulation experiment is studied in terms of three different simulation metrics. The proposed system outperforms while comparing it with the baseline i.e. fixed signal duration systems.
{"title":"Deep Reinforcement Learning based Traffic Signal optimization for Multiple Intersections in ITS","authors":"A. Paul, S. Mitra","doi":"10.1109/ANTS50601.2020.9342819","DOIUrl":"https://doi.org/10.1109/ANTS50601.2020.9342819","url":null,"abstract":"The number of vehicles is drastically increasing worldwide, especially in large cities. Thus there is a need to model and enhance the traffic management to help meet this rising requirement. The primary purpose of traffic management is to reduce traffic congestion by optimizing traffic signal, which is currently one of the main concerns. Reinforcement Learning (RL) approaches in Intelligent Transportation System (ITS) are infeasible for traffic management of large road networks. However, Deep Reinforcement Learning (DRL) is capable of handling this enlarged problem. In order to manage the traffic flow of a large road network, there is a strong need for coordination between traffic signals of the intersections, enabling vehicles to pass through intersections more easily. In this paper, a single DRL agent manages the traffic signal of multiple intersections using policy gradient algorithm. In particular, the agent is trained with spatio-temporal data of the environment that allows it to perform action in different deep neural network models. The simulation experiment is studied in terms of three different simulation metrics. The proposed system outperforms while comparing it with the baseline i.e. fixed signal duration systems.","PeriodicalId":426651,"journal":{"name":"2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"2 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":"128565066","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/ANTS50601.2020.9342830
Yash Gupta, Anand Singh, Ashutosh Bansal, V. Bohara, A. Srivastava
This paper aims at providing a solution to alleviate light pollution using visible light communication (VLC). The motivation behind the work lies in the outrageous expansion of already existing night lights which primarily use light-emitting diodes (LEDs) for illumination. Most of them are not in use simultaneously. We present a futuristic approach in automating these redundant lights. To automate the redundant LEDs, we propose using a wireless feedback mechanism for the received signal-to-noise ratio (SNR) from the user to the LEDs and object localization techniques. Specifically, a reduction of 32% in LED usage for the simulation parameters as per the designed indoor VLC testbed has been observed. Moreover, the developed model can be employed both in indoor and outdoor lighting systems.
{"title":"Deploying Visible Light Communication for Alleviating Light Pollution","authors":"Yash Gupta, Anand Singh, Ashutosh Bansal, V. Bohara, A. Srivastava","doi":"10.1109/ANTS50601.2020.9342830","DOIUrl":"https://doi.org/10.1109/ANTS50601.2020.9342830","url":null,"abstract":"This paper aims at providing a solution to alleviate light pollution using visible light communication (VLC). The motivation behind the work lies in the outrageous expansion of already existing night lights which primarily use light-emitting diodes (LEDs) for illumination. Most of them are not in use simultaneously. We present a futuristic approach in automating these redundant lights. To automate the redundant LEDs, we propose using a wireless feedback mechanism for the received signal-to-noise ratio (SNR) from the user to the LEDs and object localization techniques. Specifically, a reduction of 32% in LED usage for the simulation parameters as per the designed indoor VLC testbed has been observed. Moreover, the developed model can be employed both in indoor and outdoor lighting systems.","PeriodicalId":426651,"journal":{"name":"2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"81 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":"131848479","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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