Pub Date : 2018-12-01DOI: 10.1109/ANTS.2018.8710135
Deepali Kushwaha, Ankur Pandey, Sudhir Kumar
In this paper, we propose a sum of two exponentials based path loss model for inter-device range estimation using Stochastic Gradient Descent (SGD) method. We observe Bluetooth Received Signal Strength Indication (RSSI) data for short-range distance estimation. Bluetooth location accuracy is very high for short-range localization systems and hence it is widely used in gadgets. This paper proposes a new model for the relationship between distance and three parameters namely RSSI, signal-to-noise ratio (SNR) and the data rate of the Bluetooth signal. We consider four different environments for evaluating various path loss models. The best path loss model for all the parameters is then further used for estimating the distance. We also show that the SGD method outperforms the Gradient Descent (GD) method in terms of location accuracy and is computationally efficient.
{"title":"Sum of Two Exponentials Based Path Loss Model for Inter-Device Range Estimation using Stochastic Gradient Descent Method","authors":"Deepali Kushwaha, Ankur Pandey, Sudhir Kumar","doi":"10.1109/ANTS.2018.8710135","DOIUrl":"https://doi.org/10.1109/ANTS.2018.8710135","url":null,"abstract":"In this paper, we propose a sum of two exponentials based path loss model for inter-device range estimation using Stochastic Gradient Descent (SGD) method. We observe Bluetooth Received Signal Strength Indication (RSSI) data for short-range distance estimation. Bluetooth location accuracy is very high for short-range localization systems and hence it is widely used in gadgets. This paper proposes a new model for the relationship between distance and three parameters namely RSSI, signal-to-noise ratio (SNR) and the data rate of the Bluetooth signal. We consider four different environments for evaluating various path loss models. The best path loss model for all the parameters is then further used for estimating the distance. We also show that the SGD method outperforms the Gradient Descent (GD) method in terms of location accuracy and is computationally efficient.","PeriodicalId":273443,"journal":{"name":"2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131444579","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 : 2018-12-01DOI: 10.1109/ANTS.2018.8710158
Byomakesh Mahapatra, Rahul Kumar, A. K. Turuk, S. K. Patra
The enormous increase of wireless and Internet of Things (IoT) devices increase the traffic load and corresponding number of base station (BS). In this paper, different scenario are investigate to reduce the power consumption by redesigning the BS architecture. Small-cell cloud RAN (SC-RAN) is considered to be a better alternative for reducing the power consumption and dissipation in the dense traffic area. Different issues are discuss related to conventional distributed radio access network (D-RAN) with respect to an SC-RAN. We proposed two different power consumption model for both D-RAN and SC-RAN by giving more focus on the energy control parameter of a base band unit. Simulation is carried out at the different traffic load situation for both types of BS by using TU-Vienna LTE simulator. The simulation result shows that around 40-50% energy can be save by redesign the traditional base station architecture in in to SC-RAN.
{"title":"SC-RAN: An Energy-Efficient Solution Toward C-IoT Implementation","authors":"Byomakesh Mahapatra, Rahul Kumar, A. K. Turuk, S. K. Patra","doi":"10.1109/ANTS.2018.8710158","DOIUrl":"https://doi.org/10.1109/ANTS.2018.8710158","url":null,"abstract":"The enormous increase of wireless and Internet of Things (IoT) devices increase the traffic load and corresponding number of base station (BS). In this paper, different scenario are investigate to reduce the power consumption by redesigning the BS architecture. Small-cell cloud RAN (SC-RAN) is considered to be a better alternative for reducing the power consumption and dissipation in the dense traffic area. Different issues are discuss related to conventional distributed radio access network (D-RAN) with respect to an SC-RAN. We proposed two different power consumption model for both D-RAN and SC-RAN by giving more focus on the energy control parameter of a base band unit. Simulation is carried out at the different traffic load situation for both types of BS by using TU-Vienna LTE simulator. The simulation result shows that around 40-50% energy can be save by redesign the traditional base station architecture in in to SC-RAN.","PeriodicalId":273443,"journal":{"name":"2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128078146","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 : 2018-12-01DOI: 10.1109/ANTS.2018.8710107
Gaurav Jajoo, Y. Yadav, S. K. Yadav
Modulation scheme classifier for the received RF signal is proposed in this paper. Modulation classification is an intermediate step between data detection and its demodulation for extracting the final information. Proposed method estimates the carrier frequency offset after downconversion of passband signal with estimated carrier frequency and corrects for it. Signal is sampled with high frequency and symbol rate is estimated. Sampled signal is downsampled to estimated symbol rate to extract the constellation points. For identification of modulation scheme between QAM and PSK of different orders, k-medoids clustering is used. Blindly, k medoids are estimated for k equals to 4, 8, 16 and 64 and similarity to ideal constellation structure is calculated. Final decision for modulation scheme is given in favor for which similarity with ideal constellation structure is maximum. The simulation results for the method shows that different modulation schemes are classified efficiently above 10 dB SNR in presence of Additive White Gaussian Noise. Method proposed is unsupervised and has low computational complexity.
{"title":"Blind Signal Digital Modulation Classification through k-medoids Clustering","authors":"Gaurav Jajoo, Y. Yadav, S. K. Yadav","doi":"10.1109/ANTS.2018.8710107","DOIUrl":"https://doi.org/10.1109/ANTS.2018.8710107","url":null,"abstract":"Modulation scheme classifier for the received RF signal is proposed in this paper. Modulation classification is an intermediate step between data detection and its demodulation for extracting the final information. Proposed method estimates the carrier frequency offset after downconversion of passband signal with estimated carrier frequency and corrects for it. Signal is sampled with high frequency and symbol rate is estimated. Sampled signal is downsampled to estimated symbol rate to extract the constellation points. For identification of modulation scheme between QAM and PSK of different orders, k-medoids clustering is used. Blindly, k medoids are estimated for k equals to 4, 8, 16 and 64 and similarity to ideal constellation structure is calculated. Final decision for modulation scheme is given in favor for which similarity with ideal constellation structure is maximum. The simulation results for the method shows that different modulation schemes are classified efficiently above 10 dB SNR in presence of Additive White Gaussian Noise. Method proposed is unsupervised and has low computational complexity.","PeriodicalId":273443,"journal":{"name":"2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124340305","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 : 2018-12-01DOI: 10.1109/ANTS.2018.8710075
Yuehua Wu, M. Tornatore, B. Mukherjee
In 5G, Mobile Fronthaul (MF) is referred to as the connection between Remote Radio Head (RRH) and BaseBand processing Unit (BBU) pool. To save cost while satisfying its rising bandwidth demand, we propose a MF Resource-Sharing (MFRS) scheme that allows to share (1) the capacity of the Ethernet network among MF traffic and background traffic and (2) the Baseband Processing Functions (BPFs) among various RRHs. To estimate the resource savings achievable with MFRS, we formulate a routing and BPF placement problem. The goal is to minimize cost in terms of required BPFs under the constraints of latency and network capacity. Simulation results show significant improvement in terms of number of supported RRHs and required BPFs compared to two baseline schemes.
{"title":"Cost-Efficient Resource Sharing in Ethernet-based 5G Mobile Fronthaul Networks","authors":"Yuehua Wu, M. Tornatore, B. Mukherjee","doi":"10.1109/ANTS.2018.8710075","DOIUrl":"https://doi.org/10.1109/ANTS.2018.8710075","url":null,"abstract":"In 5G, Mobile Fronthaul (MF) is referred to as the connection between Remote Radio Head (RRH) and BaseBand processing Unit (BBU) pool. To save cost while satisfying its rising bandwidth demand, we propose a MF Resource-Sharing (MFRS) scheme that allows to share (1) the capacity of the Ethernet network among MF traffic and background traffic and (2) the Baseband Processing Functions (BPFs) among various RRHs. To estimate the resource savings achievable with MFRS, we formulate a routing and BPF placement problem. The goal is to minimize cost in terms of required BPFs under the constraints of latency and network capacity. Simulation results show significant improvement in terms of number of supported RRHs and required BPFs compared to two baseline schemes.","PeriodicalId":273443,"journal":{"name":"2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114530059","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 : 2018-12-01DOI: 10.1109/ANTS.2018.8710161
Harsha Vasudev, Debasis Das
In this digital era, it is very difficult to think of any situation in our daily life that is not using Information and Communication Technology (ICT). It is the main component and infrastructure that empower modern computing. These improvements offer many useful features in automobiles industry as well. It emphasis on the green environment, engines with high performance, secure design, etc. The concept of an intelligent transportation system (ITS) or smart transport includes a large range of methods and applications. The use of embedded intelligence to connect the vehicles, to the infrastructure and central sites make them smart. The smart transportation achieves smart policy goals in the urban environment such as increased mobility, better safety, reduced emissions, minimum fuel usage, and economic competitiveness. The VANET (vehicular ad-hoc network) has the ability to build better solutions for poor road conditions, traffic congestion, weather predictions, driving safety, passenger comfort, and other related applications by exchanging data on the road. However, it is not an easy task to ensure secure data transmission in VANETs due to different challenges such as dynamic topology, different direction, high mobility, etc. In our scheme, we propose a lightweight secure authentication and communication system for VANETs. Our protocol mainly focuses on one of the main application of VANETs, that is warning messages. Analysis and results demonstrate that our protocol outperforms well in different perspectives such as communication cost, storage overhead, and computation time.
{"title":"Secure Lightweight Data Transmission Scheme for Vehicular Ad hoc Networks","authors":"Harsha Vasudev, Debasis Das","doi":"10.1109/ANTS.2018.8710161","DOIUrl":"https://doi.org/10.1109/ANTS.2018.8710161","url":null,"abstract":"In this digital era, it is very difficult to think of any situation in our daily life that is not using Information and Communication Technology (ICT). It is the main component and infrastructure that empower modern computing. These improvements offer many useful features in automobiles industry as well. It emphasis on the green environment, engines with high performance, secure design, etc. The concept of an intelligent transportation system (ITS) or smart transport includes a large range of methods and applications. The use of embedded intelligence to connect the vehicles, to the infrastructure and central sites make them smart. The smart transportation achieves smart policy goals in the urban environment such as increased mobility, better safety, reduced emissions, minimum fuel usage, and economic competitiveness. The VANET (vehicular ad-hoc network) has the ability to build better solutions for poor road conditions, traffic congestion, weather predictions, driving safety, passenger comfort, and other related applications by exchanging data on the road. However, it is not an easy task to ensure secure data transmission in VANETs due to different challenges such as dynamic topology, different direction, high mobility, etc. In our scheme, we propose a lightweight secure authentication and communication system for VANETs. Our protocol mainly focuses on one of the main application of VANETs, that is warning messages. Analysis and results demonstrate that our protocol outperforms well in different perspectives such as communication cost, storage overhead, and computation time.","PeriodicalId":273443,"journal":{"name":"2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115284399","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 : 2018-12-01DOI: 10.1109/ANTS.2018.8710149
Shruti Walekar, Anjana Jain, P. Vyavahare
With the exponential growth of mobile communication tele-density, the next generation mobile networks need to have improved network performance. Full duplex technology increases the spectral efficiency of the wireless communication system. Resource allocation is one the biggest challenges in the present generation wireless network. This paper addresses the problem of resource allocation considering self-interference in full-duplex modes. We have investigated the problem of resource allocation in full duplex modes to jointly maximize the system sum-rate. Simulation results compare the performance two different possible full duplex modes in a single cell network. Furthermore, it is shown that FD-HD mode and FD-FD mode outperforms the HD-HD mode in a single cell network.
{"title":"Game Theoretic Resource Allocation in Full Duplex Modes: A Comparative Analysis","authors":"Shruti Walekar, Anjana Jain, P. Vyavahare","doi":"10.1109/ANTS.2018.8710149","DOIUrl":"https://doi.org/10.1109/ANTS.2018.8710149","url":null,"abstract":"With the exponential growth of mobile communication tele-density, the next generation mobile networks need to have improved network performance. Full duplex technology increases the spectral efficiency of the wireless communication system. Resource allocation is one the biggest challenges in the present generation wireless network. This paper addresses the problem of resource allocation considering self-interference in full-duplex modes. We have investigated the problem of resource allocation in full duplex modes to jointly maximize the system sum-rate. Simulation results compare the performance two different possible full duplex modes in a single cell network. Furthermore, it is shown that FD-HD mode and FD-FD mode outperforms the HD-HD mode in a single cell network.","PeriodicalId":273443,"journal":{"name":"2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127217239","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 : 2018-12-01DOI: 10.1109/ANTS.2018.8710137
Gurinder Singh, Fatima Mumtaz, V. Bohara, A. Srivastava
This paper investigates the performance of hybrid RF-Solar harvesting circuit that can simultaneously harvest power from solar and radio frequency (RF) sources readily available in the surrounding environment. The proposed work utilizes stand-alone RF and solar harvester circuits to realize a hybrid harvester circuit. The stand-alone RF harvester circuit is a dual-band multi-stage harvester that has been designed to work at GSM 900 MHz and Wi-Fi/WLAN bands. The standalone solar harvester circuit comprises of a solar panel with inbuilt rectifier circuit. The output DC voltage is obtained across the load of the two harvester circuits. The load of the two stand-alone harvester circuits are connected in series to provide DC voltage addition ensuring maximum power transfer at the load resistance of the hybrid harvester circuit. The performance of hybrid circuit has been evaluated for outdoor environment at different times over a day. Even when there is a sudden drop in power coming from standalone RF or solar harvester circuit, the power of hybrid harvester circuit does not fall abruptly due to backup from other dominant harvester circuit. This avoids sudden drop in power requirement by a device ensuring its continued operation and safety.
{"title":"Experimental Observations on Hybrid RF-Solar Energy Harvesting Circuit for Low Power Applications","authors":"Gurinder Singh, Fatima Mumtaz, V. Bohara, A. Srivastava","doi":"10.1109/ANTS.2018.8710137","DOIUrl":"https://doi.org/10.1109/ANTS.2018.8710137","url":null,"abstract":"This paper investigates the performance of hybrid RF-Solar harvesting circuit that can simultaneously harvest power from solar and radio frequency (RF) sources readily available in the surrounding environment. The proposed work utilizes stand-alone RF and solar harvester circuits to realize a hybrid harvester circuit. The stand-alone RF harvester circuit is a dual-band multi-stage harvester that has been designed to work at GSM 900 MHz and Wi-Fi/WLAN bands. The standalone solar harvester circuit comprises of a solar panel with inbuilt rectifier circuit. The output DC voltage is obtained across the load of the two harvester circuits. The load of the two stand-alone harvester circuits are connected in series to provide DC voltage addition ensuring maximum power transfer at the load resistance of the hybrid harvester circuit. The performance of hybrid circuit has been evaluated for outdoor environment at different times over a day. Even when there is a sudden drop in power coming from standalone RF or solar harvester circuit, the power of hybrid harvester circuit does not fall abruptly due to backup from other dominant harvester circuit. This avoids sudden drop in power requirement by a device ensuring its continued operation and safety.","PeriodicalId":273443,"journal":{"name":"2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127586302","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 : 2018-12-01DOI: 10.1109/ANTS.2018.8710079
Praharsh Deep Singh, D. Yadav, V. Bhatia
In this paper, we propose a defragmentation based load balancing technique for efficiently undertaking routing and spectrum assignment (RSA), and minimizing the fragmentation problem in elastic optical network (EON). In EON, after connections terminate, they leave behind spectrum gaps which con not be re-assigned. To counter this condition, in Defragmentation based Load Balancing Routing and Spectrum Assignment (DLBRSA), the existing connections are reconfigured. At the time of defragmentation, for route selection, among the available shortest routes, the route with the largest chunk of contiguous frequency slots (FSs) is chosen. DLBRSA has three advantages over the conventional Shortest Path RSA (SPRSA) technique: (1) defragmentation increases the network resource utilization, (2) load balancing on the basis of the largest available FS chunk along the route ensures uniform spectrum allocation, and (3) defragmentation ensures that the route length of the request is minimum. The performance of the DLBRSA is analyzed in reference to a benchmark, SPRSA strategy. The comparison is done on the metrics of bandwidth rejected, and the percentage of total network capacity allocated for the EON and NSFNET network topologies. These two parameters are evaluated under the two scenarios of increase in: network load (in Erlang) and number of FSs demand. Simulation results show lower bandwidth blocking probability of DLBRSA from 6.53% to 8.96% under the different load conditions. In addition, decrease of network resource utilization is observed, when we compare the proposed DLBRSA with SPRSA the existing strategy.
{"title":"Defragmentation Based Load Balancing Routing & Spectrum Assignment (DLBRSA) strategy for elastic optical networks","authors":"Praharsh Deep Singh, D. Yadav, V. Bhatia","doi":"10.1109/ANTS.2018.8710079","DOIUrl":"https://doi.org/10.1109/ANTS.2018.8710079","url":null,"abstract":"In this paper, we propose a defragmentation based load balancing technique for efficiently undertaking routing and spectrum assignment (RSA), and minimizing the fragmentation problem in elastic optical network (EON). In EON, after connections terminate, they leave behind spectrum gaps which con not be re-assigned. To counter this condition, in Defragmentation based Load Balancing Routing and Spectrum Assignment (DLBRSA), the existing connections are reconfigured. At the time of defragmentation, for route selection, among the available shortest routes, the route with the largest chunk of contiguous frequency slots (FSs) is chosen. DLBRSA has three advantages over the conventional Shortest Path RSA (SPRSA) technique: (1) defragmentation increases the network resource utilization, (2) load balancing on the basis of the largest available FS chunk along the route ensures uniform spectrum allocation, and (3) defragmentation ensures that the route length of the request is minimum. The performance of the DLBRSA is analyzed in reference to a benchmark, SPRSA strategy. The comparison is done on the metrics of bandwidth rejected, and the percentage of total network capacity allocated for the EON and NSFNET network topologies. These two parameters are evaluated under the two scenarios of increase in: network load (in Erlang) and number of FSs demand. Simulation results show lower bandwidth blocking probability of DLBRSA from 6.53% to 8.96% under the different load conditions. In addition, decrease of network resource utilization is observed, when we compare the proposed DLBRSA with SPRSA the existing strategy.","PeriodicalId":273443,"journal":{"name":"2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128152768","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 : 2018-12-01DOI: 10.1109/ANTS.2018.8710150
Pinky, Ankur Pandey, Sudhir Kumar
In this paper, a Smart Device (SD) localization method, based on the Path Loss (PL) model of Macro Base Station (MBS) and femtocells, using the convex optimization method is discussed for an Internet of Things (IoT) networks. Localization plays a major role for smart city, smart agriculture, and smart health applications in IoT networks. Global Positioning System (GPS) works well for outdoor positioning but fails to provide accurate locations in an indoor environment and non-line-of-sight (NLOS) paths. We propose the Convex optimization (CO) method that uses the combined effects of the Received Signal Strength (RSS) from macrocells and femtocells. The method requires no additional infrastructure and localizes a Smart Device (SD) in an IoT environment. The Cramèr-Rao Lower Bound (CRLB) is also evaluated to analyze the performance of the estimator. Extensive simulations demonstrate that our proposed method provides an accurate location as compared to Least Square method.
{"title":"Smart Device Localization using Femtocell and Macro Base Station Based Path Loss Models in IoT Networks","authors":"Pinky, Ankur Pandey, Sudhir Kumar","doi":"10.1109/ANTS.2018.8710150","DOIUrl":"https://doi.org/10.1109/ANTS.2018.8710150","url":null,"abstract":"In this paper, a Smart Device (SD) localization method, based on the Path Loss (PL) model of Macro Base Station (MBS) and femtocells, using the convex optimization method is discussed for an Internet of Things (IoT) networks. Localization plays a major role for smart city, smart agriculture, and smart health applications in IoT networks. Global Positioning System (GPS) works well for outdoor positioning but fails to provide accurate locations in an indoor environment and non-line-of-sight (NLOS) paths. We propose the Convex optimization (CO) method that uses the combined effects of the Received Signal Strength (RSS) from macrocells and femtocells. The method requires no additional infrastructure and localizes a Smart Device (SD) in an IoT environment. The Cramèr-Rao Lower Bound (CRLB) is also evaluated to analyze the performance of the estimator. Extensive simulations demonstrate that our proposed method provides an accurate location as compared to Least Square method.","PeriodicalId":273443,"journal":{"name":"2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123603949","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 : 2018-12-01DOI: 10.1109/ANTS.2018.8710113
Shivam Raval, Dhaval K. Patel, M. López-Benítez
The spectral efficiency of cognitive radio (CR) can be improved by employing full-duplex (FD) systems which enables simultaneous data transmission and spectrum sensing during a given time period, over the same idle channel. Improved Energy Detection (IED) has shown a significant improvement compared to classical energy detection (CED) in half-duplex (HD). Time-slotted cognitive radio networks (CRN) are considered in most of the current works where an assumption is taken that the primary user (PU) and secondary user (SU) are perfectly synchronized. However, in real scenario PU can access and leave the frequency bands in an unsequenced manner and SU is not synchronized with the PU activity which is termed as non-time-slotted access: This paper investigates the IED scheme in full duplex cognitive radio (FDCR) for time-slotted as well as non-time slotted scenarios. The results demonstrate the significance of using IED scheme over existing methods, hence indicating remarkable improvement in the system performance. Based on the proposed scheme, simulation results show an agreement with analytical results, therefore validating the proposed scheme.
{"title":"Performance Analysis of Improved Energy Detection in Full Duplex Non-Time-Slotted Cognitive Radio","authors":"Shivam Raval, Dhaval K. Patel, M. López-Benítez","doi":"10.1109/ANTS.2018.8710113","DOIUrl":"https://doi.org/10.1109/ANTS.2018.8710113","url":null,"abstract":"The spectral efficiency of cognitive radio (CR) can be improved by employing full-duplex (FD) systems which enables simultaneous data transmission and spectrum sensing during a given time period, over the same idle channel. Improved Energy Detection (IED) has shown a significant improvement compared to classical energy detection (CED) in half-duplex (HD). Time-slotted cognitive radio networks (CRN) are considered in most of the current works where an assumption is taken that the primary user (PU) and secondary user (SU) are perfectly synchronized. However, in real scenario PU can access and leave the frequency bands in an unsequenced manner and SU is not synchronized with the PU activity which is termed as non-time-slotted access: This paper investigates the IED scheme in full duplex cognitive radio (FDCR) for time-slotted as well as non-time slotted scenarios. The results demonstrate the significance of using IED scheme over existing methods, hence indicating remarkable improvement in the system performance. Based on the proposed scheme, simulation results show an agreement with analytical results, therefore validating the proposed scheme.","PeriodicalId":273443,"journal":{"name":"2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"59 1-2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131923113","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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