{"title":"Improving Access to Network Resources in IoT Networks","authors":"Kaumudi Singh, T. V. Prabhakar, J. Kuri","doi":"10.1109/COMSNETS48256.2020.9027349","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027349","url":null,"abstract":"The Internet of Things has made a large footprint in fields like safety, security, healthcare, asset management, environment monitoring and industry automation. The IEEE 802.15.4 standard is a major technology of choice for maintaining connectivity in such applications. The standard has provisions for supporting time-sensitive applications with the help of Guaranteed Time Slots (GTSs) available in the superframe. However, we observe that the standard is slightly ill-equipped for supporting applications that generate time-sensitive and sporadic data as there are concerns related to the manner in which these resources are accessed and reserved for nodes. In this work, we propose a novel “Device Registration” algorithm to address these concerns by making minor modifications to the parameters within the framework of the existing MAC. We divide the Contention Access Period (CAP) into microslots that can accommodate only one registration request which a node transmits if it wishes to communicate time-sensitive data using GTSs. The algorithm discourages reservation of GTS resources to ensure that nodes have a fair chance to allocation of GTS resources. We have evaluated the proposed algorithm extensively using experiments on a testbed with supported simulations. We found that success probabilities of registration requests improve two-fold. Additionally, our scheme lowers the node energy consumption by 10%. To further improve the registration probability, we have studied an extension where the nodes are permitted to transmit the request in two different microslots.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115036289","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":"BER Performance of Full-Duplex Two-Way Relay System with User Mobility","authors":"Tanvi Kaple, P. Raut, P. Sharma","doi":"10.1109/COMSNETS48256.2020.9027376","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027376","url":null,"abstract":"This paper investigates the error performance of a full-duplex two-way communication system with a decode-and-forward relay. All the nodes are assumed to be mobile, and the effect of mobility is incorporated using the auto regressive model AR1. The residual self-interference (RSI), that exists between transmit and receive antennas of the nodes, is characterized as a Rician distributed random variable. The closed-form expression for average bit error rate is obtained and it was observed that mobility of relay affects the system performance more severely as compared to the mobility of users. The analysis presented is verified through Monte-Carlo simulations.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"188 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115487093","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":"Joint Preference Metric for Efficient Resource Allocation in Co-Existence of eMBB and URLLC","authors":"Annapurna Pradhan, Susmita Das","doi":"10.1109/COMSNETS48256.2020.9027365","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027365","url":null,"abstract":"The co-existence of enhanced Mobile Broadband (eMBB) and Ultra-Reliable Low Latency Communication (URLLC) services in emerging 5G technology are essential to support many diversified cutting edge applications with the requirement of high data rate and low latency. In this multiservice co-existence, optimizing resource allocation with efficient scheduling is a challenging task. The hard latency bound URLLC traffic selectively overlapped by puncturing the ongoing eMBB transmission. This results in a potential loss to the data rate of eMBB traffic. Therefore, we propose resource allocation based on a joint metric of the minimum achievable rate of eMBB and optimal URLLC placement demand for minimizing loss. The resource allocation to each URLLC users in any mini-slot is done based on the proposed metric.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122702419","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":"Demo: A Machine Learning based M-ary Amplitude Modulated Visible Light Communication System","authors":"T. Sethuraman, Susan Elias, A. Ashok","doi":"10.1109/COMSNETS48256.2020.9027292","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027292","url":null,"abstract":"Visible Light Communication (VLC), which operates in the Terahertz band, is theoretically capable of terabits/second data speeds. However, traditional state-of-the-art VLC has largely been limited in the data rates and communication range. A common approach to modulation in VLC is the use of ON-OFF Keying (OOK), where a binary bit 1 is mapped to a high or ON state of the light emitter and bit 0 to a low or OFF state. While there have been approaches to improve the spectral efficiency through other modulation schemes such as color-shift-keying (CSK), frequency-shift-keying (FSK) and orthogonal frequency division multiplexing (OFDM), the fundamental mapping of intensity of light emitters to high and low states is still required. In this work, we explore a novel approach for using multi-level or M-ary amplitude modulation to encode symbols in VLC. We demonstrate a technique that uses machine learning of the VLC channel state to improve demodulation of M-ary signals in a LED-Photodiode VLC system.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129324950","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":"Ant-Taxi to Pie-Passenger: Optimizing Routes and Time for Distributed Taxi Ride Sharing","authors":"A. Manjunath, V. Raychoudhury, Snehanshu Saha","doi":"10.1109/COMSNETS48256.2020.9027410","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027410","url":null,"abstract":"Sustainability of local co-operative taxi networks in the face of competition from corporate behemoths is a problem worthy of investigation. Lack of infrastructure background support and venture capital demands alternative strategies for survival. A viable solution requires novel modeling approach and computational framework. Such framework needs to be fully distributed and therefore is sub-optimal. We propose an intra-city taxi service that leverages individual rides and local network for ride management. This, in turn, demands a bunch of decision variables and objectives to be optimized. Some of these objectives are conflicting and therefore the problem requires a multi objective optimization formulation. We propose to exploit the flexible structure and multi-agent like behavior of Ant colony optimization to tackle the diversity of objectives in the ride share problem. We consider the scenario of ride share only since that is the hardest part in the taxi business. The implementation is multi-modular and provides an alternative approach to commonly used centralized taxi network. We define novel performance metrics and present results to supplement the modeling approach. Our results show that spatio-temporal diversity is the biggest road block to wide scale ride sharing. Nonetheless, our solution ensures up to 77% acceptance in shared rides.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129775557","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":"Deep Learning based Prediction Model for Adaptive Video Streaming","authors":"Anirban Lekharu, K. Y. Moulii, A. Sur, A. Sarkar","doi":"10.1109/COMSNETS48256.2020.9027383","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027383","url":null,"abstract":"Improving the overall Quality of Experience (QoE) of a client for a given video streaming session is a challenging task in a continuously varying network environment. A dynamic bit-rate adaptation strategy at the client side that can maximize the overall QoE for a session is required irrespective of the bandwidth allocation scheme adopted in-network. Even though there are a plethora of state-of-the-art strategies for adaptive bit-rate streaming, they suffer from a few key shortcomings which may significantly restrict the overall QoE potentially achievable by an end-user. For instance, QoE management using a fixed set of rules may not always guarantee optimal bandwidth utilization, video quality enhancement and accurate buffer estimation, especially in the face of severely varying and often unpredictable bandwidth fluctuations. To handle these issues across a wide range of varying network conditions and QoE parameters, machine learning strategies are being used in recent times. ML approaches train the QoE models based on diverse observations related to network bandwidth, actually received bitrate, segment size, etc, corresponding to video segments received in the past. In this work, we propose a Deep Neural Network based model that selects the appropriate video bit-rates in order to maximize the overall QoE of a user. The overall QoE is obtained as a linear combination of various input parameters such as perceived video quality, buffering time and smoothness of the video session. Experimental results reveal that the proposed architecture improves the average QoE achieved by a client by ≈8.84% when compared against Pensieve, a state-of-the-art ML based approach.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123792019","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":"Energy Efficiency in Millimeter Wave based Cellular Networks with DUDe and Dynamic TDD","authors":"Yoghitha Ramamoorthi, Abhinav Kumar","doi":"10.1109/COMSNETS48256.2020.9027354","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027354","url":null,"abstract":"Millimeter wave (mmwave) based small cell base stations (SCBSs) in 5G standard proposed by 3GPP are expected to support increased data rates and capacity of the network at the expense of increased energy consumption. Dynamic time division duplexing (TDD) has also been proposed in 5G to further improve the throughput of these SCBSs by choosing their individual TDD time fractions. These mmwave based SCBSs are expected to coexist along with microwave based macro base stations (MBSs). Hence, downlink/uplink decoupling (DUDe) has been proposed by 3GPP to compensate for the transmit power imbalance between MBSs and SCBSs. In this work, the joint problem of energy efficiency (achieved through SCBS sleeping) and resource allocation for dynamic TDD with DUDe is formulated as an optimization problem in presence of a generalized a-fair scheduler. The tradeoff between throughput and energy efficiency is analyzed for static and dynamic TDD schemes, with and without DUDe. Further, we show a throughput gain of 28.4% with marginal or no loss in energy efficiency for a dynamic TDD system with DUDe as compared to a static TDD system.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124100312","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":"End-to-End Delay Jitter in LTE Uplink: Simple Models, Empirical Validation & Applications","authors":"Megha Sahu, A. Kherani","doi":"10.1109/COMSNETS48256.2020.9027397","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027397","url":null,"abstract":"We address the problem of achieving a target end-to-end per-packet delay jitter for an uplink packet traffic from a mobile device to a central server. We provide simple analytical models for predicting the delay jitter and their empirical validation. The structural dependency of the end-to-end per-packet delay jitter on various Constant Bit Rate (CBR) traffic parameters, namely, burst length and inter-burst time, are then utilized to develop a stochastic approximation algorithm to adapt these parameters to achieve a target end-to-end delay jitter. Initial understanding is simulation-based using Network Simulator (NS3). Further, our model is evaluated against the experimental results obtained on a reported real-world implementation.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127792869","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}
Mohammed Samdani Shaik, Dipam Shah, R. Chetty, R. Marathe
{"title":"A LoRaWAN based Open Source IOT Solution for Monitoring Rural Electrification Policy","authors":"Mohammed Samdani Shaik, Dipam Shah, R. Chetty, R. Marathe","doi":"10.1109/COMSNETS48256.2020.9027490","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027490","url":null,"abstract":"The Government of India has implemented Solar PV based microgrid Decentralized Distributed Generation (DDG) projects in different parts of the country. The monitoring of the performance of DDG projects is a manual process with reliance on the data provided by the system integrators who oversee the DDG projects. With the advent of the Internet of Things (IOT), the monitoring & evaluation can be improved dramatically by making it objective, and also to monitor the performance of the policy progress on a near real-time basis. The characteristics of an LPWAN technology viz., LoRa that makes it an appropriate communication technology for remote monitoring of DDG projects are: Long-range, Low power, Small data requirements, and flexibility to operate in unlicensed spectrum. An open-source Internet of Things (IOT) solution is proposed here to monitor and evaluate the rural electrification projects. The methodology involves the development of a low-cost prototype and an open-source based solution to monitor the performance of a DC-based stand-alone solar photovoltaic system, which was set up in the IIT Madras campus. The integration across the LoRaWAn architecture was demonstrated, and a visualization dashboard was created in the Ubidots IOT platform to monitor basic parameters such as voltage and current. The goal is to monitor the solar DC system in terms of the objectives set in DDG policy.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"30 17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132610230","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":"ATRNN: Using Seq2Seq Approach for Decoding Polar Codes","authors":"Aniket Dhok, Swapnil Bhole","doi":"10.1109/COMSNETS48256.2020.9027355","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027355","url":null,"abstract":"Polar codes have been chosen by 3GPP as the official error-correcting codes in the control plane of 5G NR enhanced Mobile Broadband (eMBB) due to their low complexity decoding and near-DMC capacity achievement. Recently, deep learning methods have produced promising results in many fields, including linear and polar code decoding. Using end-to-end DL approach provides flexibility, thus empowering us to integrate powerful DL algorithms into channel decoders. In this paper, we propose a novel one-shot decoding framework for polar codes using Attention-based Recurrent Neural Network (ATRNN). Furthermore, we evaluate the decoding performance of ATRNN using bit error rate (BER) and compare it with the state-of-the-art techniques such as successive cancellation (SC).","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116549135","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}