Pub Date : 2019-12-01DOI: 10.1109/GCWkshps45667.2019.9024382
Ju-Hyung Lee, Kihong Park, Mohamed-Slim Alouini, Young-Chai Ko
In this work, we address the trajectory optimization of a fixed-wing UAV using free space optical communication (FSO). Here, we focus on maximizing the service time of FSO-based vertical wireless backhaul networks by considering practical constraints for wireless UAV communication, including limited energy and required data rates. To solve the optimization problem, we use a bisection method and sequential programming and introduce a new feasibility algorithm. Although we design suboptimal solutions due to the non-convexity of the problems, simulation indicates that the proposed schemes exhibit a gain of approximately 123.4% in terms of service-time when compared with the conventional scheme.
{"title":"Free Space Optical Communication on UAV-Assisted Backhaul Networks: Optimization for Service Time","authors":"Ju-Hyung Lee, Kihong Park, Mohamed-Slim Alouini, Young-Chai Ko","doi":"10.1109/GCWkshps45667.2019.9024382","DOIUrl":"https://doi.org/10.1109/GCWkshps45667.2019.9024382","url":null,"abstract":"In this work, we address the trajectory optimization of a fixed-wing UAV using free space optical communication (FSO). Here, we focus on maximizing the service time of FSO-based vertical wireless backhaul networks by considering practical constraints for wireless UAV communication, including limited energy and required data rates. To solve the optimization problem, we use a bisection method and sequential programming and introduce a new feasibility algorithm. Although we design suboptimal solutions due to the non-convexity of the problems, simulation indicates that the proposed schemes exhibit a gain of approximately 123.4% in terms of service-time when compared with the conventional scheme.","PeriodicalId":210825,"journal":{"name":"2019 IEEE Globecom Workshops (GC Wkshps)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128782208","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 : 2019-12-01DOI: 10.1109/GCWkshps45667.2019.9024700
Yifei Cai, Qixun Zhang, Z. Feng
Due to the rapid development of vehicle-to- everything (V2X) communication technologies, new vehicular services with high data rate and low latency requirements are brought forward recently for Internet of Vehicles. To relieve the pressure of spectrum shortage, 5G new radio (NR) V2X technology was proposed by aggregating both the LTE-V band and the NR band. In LTE-V and NR-V2X heterogeneous vehicle networks, how to manage various radio resources to satisfy different user's quality of service (QoS) is a challenging problem. To solve this problem, a QoS-guaranteed resource scheduling algorithm is proposed by considering basic safety services, advanced safety services and traffic efficiency services. Furthermore, a dynamic programming based resource scheduling algorithm is designed to improve the user's service experience and the spectrum efficiency by maximizing the system utility. System level simulation results verify that the proposed algorithms can enhance the user's experience effectively compared with conventional schemes, in terms of delay, throughput and packet loss ratio.
{"title":"QoS-Guaranteed Radio Resource Scheduling in 5G V2X Heterogeneous Systems","authors":"Yifei Cai, Qixun Zhang, Z. Feng","doi":"10.1109/GCWkshps45667.2019.9024700","DOIUrl":"https://doi.org/10.1109/GCWkshps45667.2019.9024700","url":null,"abstract":"Due to the rapid development of vehicle-to- everything (V2X) communication technologies, new vehicular services with high data rate and low latency requirements are brought forward recently for Internet of Vehicles. To relieve the pressure of spectrum shortage, 5G new radio (NR) V2X technology was proposed by aggregating both the LTE-V band and the NR band. In LTE-V and NR-V2X heterogeneous vehicle networks, how to manage various radio resources to satisfy different user's quality of service (QoS) is a challenging problem. To solve this problem, a QoS-guaranteed resource scheduling algorithm is proposed by considering basic safety services, advanced safety services and traffic efficiency services. Furthermore, a dynamic programming based resource scheduling algorithm is designed to improve the user's service experience and the spectrum efficiency by maximizing the system utility. System level simulation results verify that the proposed algorithms can enhance the user's experience effectively compared with conventional schemes, in terms of delay, throughput and packet loss ratio.","PeriodicalId":210825,"journal":{"name":"2019 IEEE Globecom Workshops (GC Wkshps)","volume":"279 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123170658","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}
This paper addresses the problem that the operator cannot provide satisfactory network services in the high-load crowded areas. The mobile devices were exploited as relays to help the operator forward data, which enhances the quality of the network services and expand the operator's business scope. However, the devices are selfish users and the bandwidth resources are scarcity and limited. To incent the devices working as relays, we built a novel auction game to maximize both the utilities of the operator and the relays, and make the maximum use of bandwidth resources. To derive the game equilibrium, we proposed a novel distributed dynamic iterative ascending algorithm where we first derive an optimal bandwidth allocation strategy for the operator based on the operator utility function and the relays' resource charging prices. Second, the optimal pricing strategy is obtained for each relay through deriving the game equilibrium. Finally, with the economic transactions, the selected relays complete the data transmission with the allocated bandwidth. Simulations demonstrate that the proposed auction game based non-equal bandwidth allocation strategy can significantly improve the operator's and the relays' utilities compared to traditional unchanged pricing strategies.
{"title":"Auction Game-Based Bandwidth Allocation for Relay Networks in a Crowded Environment","authors":"Qin Wang, Zheqi Wang, Yetong Wu, Yiyang Ni, Haotong Cao, G. Aujla, Hongbo Zhu","doi":"10.1109/GCWkshps45667.2019.9024614","DOIUrl":"https://doi.org/10.1109/GCWkshps45667.2019.9024614","url":null,"abstract":"This paper addresses the problem that the operator cannot provide satisfactory network services in the high-load crowded areas. The mobile devices were exploited as relays to help the operator forward data, which enhances the quality of the network services and expand the operator's business scope. However, the devices are selfish users and the bandwidth resources are scarcity and limited. To incent the devices working as relays, we built a novel auction game to maximize both the utilities of the operator and the relays, and make the maximum use of bandwidth resources. To derive the game equilibrium, we proposed a novel distributed dynamic iterative ascending algorithm where we first derive an optimal bandwidth allocation strategy for the operator based on the operator utility function and the relays' resource charging prices. Second, the optimal pricing strategy is obtained for each relay through deriving the game equilibrium. Finally, with the economic transactions, the selected relays complete the data transmission with the allocated bandwidth. Simulations demonstrate that the proposed auction game based non-equal bandwidth allocation strategy can significantly improve the operator's and the relays' utilities compared to traditional unchanged pricing strategies.","PeriodicalId":210825,"journal":{"name":"2019 IEEE Globecom Workshops (GC Wkshps)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126414164","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 : 2019-12-01DOI: 10.1109/GCWkshps45667.2019.9024416
V. Marojevic, Ismail Güvenç, R. Dutta, M. Sichitiu
The Third Generation Partnership Project (3GPP) released its first 5G specifications in December 2017. 3GPP Release 15 defines a new radio access network, new security architecture, services and applications, among others. These specifications will be refined with new releases that will include enhancements to cellular vehicular to everything (C-V2X), first introduced in LTE in Release 14, as well as the integration of unmanned aerial systems (UASs). This paper proposes a city-scale R&D platform enabling advanced mobile communications and computing experiments with 5G technology and UASs. The large-scale testbed is proposed by an academic-industry consortium to serve the needs of researchers, developers, practitioners, regulators, and educators, among others. We present the unique aspects of this platform, its architecture and user services, for enabling experiments in controlled, yet production-like environments. Sample research projects, including 5G security and distributed wireless and computing resource management, indicate the broad R&D scope and the impact that such platform can have on technology evolution, regulation, standardization and new computing and communications services.
{"title":"Aerial Experimentation and Research Platform for Mobile Communications and Computing","authors":"V. Marojevic, Ismail Güvenç, R. Dutta, M. Sichitiu","doi":"10.1109/GCWkshps45667.2019.9024416","DOIUrl":"https://doi.org/10.1109/GCWkshps45667.2019.9024416","url":null,"abstract":"The Third Generation Partnership Project (3GPP) released its first 5G specifications in December 2017. 3GPP Release 15 defines a new radio access network, new security architecture, services and applications, among others. These specifications will be refined with new releases that will include enhancements to cellular vehicular to everything (C-V2X), first introduced in LTE in Release 14, as well as the integration of unmanned aerial systems (UASs). This paper proposes a city-scale R&D platform enabling advanced mobile communications and computing experiments with 5G technology and UASs. The large-scale testbed is proposed by an academic-industry consortium to serve the needs of researchers, developers, practitioners, regulators, and educators, among others. We present the unique aspects of this platform, its architecture and user services, for enabling experiments in controlled, yet production-like environments. Sample research projects, including 5G security and distributed wireless and computing resource management, indicate the broad R&D scope and the impact that such platform can have on technology evolution, regulation, standardization and new computing and communications services.","PeriodicalId":210825,"journal":{"name":"2019 IEEE Globecom Workshops (GC Wkshps)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126537795","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 : 2019-12-01DOI: 10.1109/GCWkshps45667.2019.9024693
Kyrillos K. Selim, Shaochuan Wu, Demyana A. Saleeb, Yulong Gao
Cyber-physical systems need to harvest renewable energy sources to work properly. Energy harvesting comes from sources such as solar radiation, ambient RF, wind, rain, or vibrations. RF energy can be harvested in the dark, or when no solar energy is available. RF is readily available, consistent, and reliable compared with energy harvesting from other sources. One major disadvantage of RF energy harvesting is the relatively low density of ambient RF energy in most locations. The goal of this work was to enhance the RF harvested power level by introducing a simple design and a small size. The proposed system included two circuits. Each circuit consisted of an RF power source, L matching element, and a single- stage voltage multiplier. The two circuits were connected in parallel via the filter and the resistor load. The ADS simulation tool was utilized to simulate the proposed design for the applied low input power range of -50dBm to 5dBm at 900 MHz. The load values were varied between 1K and 12K to determine the suitable load which achieved the optimum performance. Results showed that 3.11 mW as the top harvested power for the input power of 5dBm and output voltage of 3.5 V at the optimum load of 4 K . The maximum efficiency accomplished by the proposed system was 57%.
{"title":"Improved Harvested RF Energy for Cyber-Physical Energy Systems","authors":"Kyrillos K. Selim, Shaochuan Wu, Demyana A. Saleeb, Yulong Gao","doi":"10.1109/GCWkshps45667.2019.9024693","DOIUrl":"https://doi.org/10.1109/GCWkshps45667.2019.9024693","url":null,"abstract":"Cyber-physical systems need to harvest renewable energy sources to work properly. Energy harvesting comes from sources such as solar radiation, ambient RF, wind, rain, or vibrations. RF energy can be harvested in the dark, or when no solar energy is available. RF is readily available, consistent, and reliable compared with energy harvesting from other sources. One major disadvantage of RF energy harvesting is the relatively low density of ambient RF energy in most locations. The goal of this work was to enhance the RF harvested power level by introducing a simple design and a small size. The proposed system included two circuits. Each circuit consisted of an RF power source, L matching element, and a single- stage voltage multiplier. The two circuits were connected in parallel via the filter and the resistor load. The ADS simulation tool was utilized to simulate the proposed design for the applied low input power range of -50dBm to 5dBm at 900 MHz. The load values were varied between 1K and 12K to determine the suitable load which achieved the optimum performance. Results showed that 3.11 mW as the top harvested power for the input power of 5dBm and output voltage of 3.5 V at the optimum load of 4 K . The maximum efficiency accomplished by the proposed system was 57%.","PeriodicalId":210825,"journal":{"name":"2019 IEEE Globecom Workshops (GC Wkshps)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116658105","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 : 2019-12-01DOI: 10.1109/GCWkshps45667.2019.9024577
Yuan Gao, Jiang Cao, Weigui Zhou, Chao Qing, Yang Guo, Yanchang Du, Junsong Yin, Su Hu, Xiangyang Li
The deployment of 5G and its advanced generation wireless personal communication system will greatly affect our daily life. Due to the complexity and scale of the network, a proper evaluation method must be developed to monitor the status of the system and provide executive solution to optimize the network. In this paper, we summarize the state of art in evaluation of large scale cooperative wireless fusion networks, and discovered that there is rarely effective method to make proper estimation and provide precise optimization to network architecture, resource allocation and reform of network elements. So both benefits and challenges are provided to make a clear view of the system, deep learning based method is also proposed as an open discussion problem.
{"title":"Performance Evaluation in Large Scale Cooperative Wireless Fusion Networks: Opportunities and Challenges","authors":"Yuan Gao, Jiang Cao, Weigui Zhou, Chao Qing, Yang Guo, Yanchang Du, Junsong Yin, Su Hu, Xiangyang Li","doi":"10.1109/GCWkshps45667.2019.9024577","DOIUrl":"https://doi.org/10.1109/GCWkshps45667.2019.9024577","url":null,"abstract":"The deployment of 5G and its advanced generation wireless personal communication system will greatly affect our daily life. Due to the complexity and scale of the network, a proper evaluation method must be developed to monitor the status of the system and provide executive solution to optimize the network. In this paper, we summarize the state of art in evaluation of large scale cooperative wireless fusion networks, and discovered that there is rarely effective method to make proper estimation and provide precise optimization to network architecture, resource allocation and reform of network elements. So both benefits and challenges are provided to make a clear view of the system, deep learning based method is also proposed as an open discussion problem.","PeriodicalId":210825,"journal":{"name":"2019 IEEE Globecom Workshops (GC Wkshps)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123751064","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 : 2019-12-01DOI: 10.1109/GCWkshps45667.2019.9024534
Jingran Chen, Qixun Zhang, Z. Feng
Unmanned aerial vehicles (UAVs) can be conveniently deployed for reconnaissance, firefighting, disaster rescue, and so on. However, the utmost challenge is how to support a wide variety of services efficiently in face of communication and computation constraints. Therefore, a service-driven collaborative mobile edge computing model is proposed to support the computation- intensive and latency-critical services for UAV swarm. In terms of different service requirements, UAVs are divided into two categories, including the cloud service support (CSS) UAVs, and the local service support (LSS) UAVs. For CSS UAVs, the enhanced collaborative computing model is designed and the closed-form solution of the decision threshold is also achieved by using queueing theory. Furthermore, in terms of LSS UAVs, the system status update algorithm is proposed based on the age of information in collaboration with CSS UAVs and the control center. In contrast to the typical UAV network with MEC servers, simulation results verify that our proposed model and algorithm can significantly improve the timeliness of information transmission.
{"title":"Timeliness Analysis of Service-Driven Collaborative Mobile Edge Computing in UAV Swarm","authors":"Jingran Chen, Qixun Zhang, Z. Feng","doi":"10.1109/GCWkshps45667.2019.9024534","DOIUrl":"https://doi.org/10.1109/GCWkshps45667.2019.9024534","url":null,"abstract":"Unmanned aerial vehicles (UAVs) can be conveniently deployed for reconnaissance, firefighting, disaster rescue, and so on. However, the utmost challenge is how to support a wide variety of services efficiently in face of communication and computation constraints. Therefore, a service-driven collaborative mobile edge computing model is proposed to support the computation- intensive and latency-critical services for UAV swarm. In terms of different service requirements, UAVs are divided into two categories, including the cloud service support (CSS) UAVs, and the local service support (LSS) UAVs. For CSS UAVs, the enhanced collaborative computing model is designed and the closed-form solution of the decision threshold is also achieved by using queueing theory. Furthermore, in terms of LSS UAVs, the system status update algorithm is proposed based on the age of information in collaboration with CSS UAVs and the control center. In contrast to the typical UAV network with MEC servers, simulation results verify that our proposed model and algorithm can significantly improve the timeliness of information transmission.","PeriodicalId":210825,"journal":{"name":"2019 IEEE Globecom Workshops (GC Wkshps)","volume":"2 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114028090","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 : 2019-12-01DOI: 10.1109/GCWkshps45667.2019.9024389
Yun Gao, Xin Wei, Liang Zhou, Haibing Lv
Currently, traffic prediction in cellular communication has become an important way to relieve traffic congestion, and then guarantee users' quality of experience (QoE) in multimedia service. However, when concerning traffic prediction in the context of big data, traditional deep learning models only have limited memory lengths and thus do not satisfy high prediction accuracy demand. In this paper, we design a new deep learningbased framework, which is built on our proposed novel spatialtemporal attention mechanism, to further increase the prediction accuracy of cellular traffic resource. Specifically, we firstly design a big data hierarchical architecture with four levels to extract meaningful information. Then, considering that cellular traffic resource from base stations characterizes spatial-temporal dependencies, we integrate conventional temporal attention mechanism for target area with that from spatial neighbor areas, proposing a novel spatial-temporal attention mechanism. Finally, we utilize this spatial-temporal attention mechanism based LSTM (STaLSTMs) to predict cellular traffic resource from base stations. Experimental results demonstrate that our proposed framework has better performances in cellular traffic prediction than other competing models. Importantly, in some application scenarios, this framework can also maintain high accuracy but only with 60% data.
{"title":"A Deep Learning Framework with Spatial-Temporal Attention Mechanism for Cellular Traffic Prediction","authors":"Yun Gao, Xin Wei, Liang Zhou, Haibing Lv","doi":"10.1109/GCWkshps45667.2019.9024389","DOIUrl":"https://doi.org/10.1109/GCWkshps45667.2019.9024389","url":null,"abstract":"Currently, traffic prediction in cellular communication has become an important way to relieve traffic congestion, and then guarantee users' quality of experience (QoE) in multimedia service. However, when concerning traffic prediction in the context of big data, traditional deep learning models only have limited memory lengths and thus do not satisfy high prediction accuracy demand. In this paper, we design a new deep learningbased framework, which is built on our proposed novel spatialtemporal attention mechanism, to further increase the prediction accuracy of cellular traffic resource. Specifically, we firstly design a big data hierarchical architecture with four levels to extract meaningful information. Then, considering that cellular traffic resource from base stations characterizes spatial-temporal dependencies, we integrate conventional temporal attention mechanism for target area with that from spatial neighbor areas, proposing a novel spatial-temporal attention mechanism. Finally, we utilize this spatial-temporal attention mechanism based LSTM (STaLSTMs) to predict cellular traffic resource from base stations. Experimental results demonstrate that our proposed framework has better performances in cellular traffic prediction than other competing models. Importantly, in some application scenarios, this framework can also maintain high accuracy but only with 60% data.","PeriodicalId":210825,"journal":{"name":"2019 IEEE Globecom Workshops (GC Wkshps)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131537679","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 : 2019-12-01DOI: 10.1109/GCWkshps45667.2019.9024466
Masashi Takakusaki, Suhua Tang, T. Ueno, T. Ogishi, S. Obana
Dedicated short range communication (DSRC) in the 5.9 GHz band has been considered as the main inter- vehicle communication (IVC) method in the past. Recently, IVC by cellular V2X (LTE support for V2X services) has attracted much attention, which includes two schemes: sidelink by which vehicles communicate directly with each other and broadcast via eNodeB for dissemination to farther vehicles. In this paper, we will show that none of these methods alone can fulfill the reliable and low delay communication, and investigate a basic method that combines DSRC for fast dissemination in a short distance and cellular V2X (broadcast via eNodeB) for reliable dissemination in a wide range. We notice that vehicles near the same event (e.g., falling object) may repeatedly disseminate the same message and some messages may be disseminated beyond their required range, which degrade network performance. Therefore, we further improve the efficiency of the basic method from two aspects: (i) dissemination range control that constrains the dissemination of each message within its required range, and (ii) duplicate dissemination control that avoids disseminating the message containing the same information in the network. Simulations on network simulator with LTE release-14 confirm that the method combining DSRC and cellular V2X reduces the delay by up to 66% compared to the method using only cellular V2X, and the extended method further improves the reachability by up to 15%.
{"title":"Fast and Reliable Dissemination of Road and Traffic Information by Combining Cellular V2X and DSRC","authors":"Masashi Takakusaki, Suhua Tang, T. Ueno, T. Ogishi, S. Obana","doi":"10.1109/GCWkshps45667.2019.9024466","DOIUrl":"https://doi.org/10.1109/GCWkshps45667.2019.9024466","url":null,"abstract":"Dedicated short range communication (DSRC) in the 5.9 GHz band has been considered as the main inter- vehicle communication (IVC) method in the past. Recently, IVC by cellular V2X (LTE support for V2X services) has attracted much attention, which includes two schemes: sidelink by which vehicles communicate directly with each other and broadcast via eNodeB for dissemination to farther vehicles. In this paper, we will show that none of these methods alone can fulfill the reliable and low delay communication, and investigate a basic method that combines DSRC for fast dissemination in a short distance and cellular V2X (broadcast via eNodeB) for reliable dissemination in a wide range. We notice that vehicles near the same event (e.g., falling object) may repeatedly disseminate the same message and some messages may be disseminated beyond their required range, which degrade network performance. Therefore, we further improve the efficiency of the basic method from two aspects: (i) dissemination range control that constrains the dissemination of each message within its required range, and (ii) duplicate dissemination control that avoids disseminating the message containing the same information in the network. Simulations on network simulator with LTE release-14 confirm that the method combining DSRC and cellular V2X reduces the delay by up to 66% compared to the method using only cellular V2X, and the extended method further improves the reachability by up to 15%.","PeriodicalId":210825,"journal":{"name":"2019 IEEE Globecom Workshops (GC Wkshps)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131765064","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 : 2019-12-01DOI: 10.1109/GCWkshps45667.2019.9024435
Seunghoon Lee, N. Lee
This paper considers a multi-user multiple-input multiple-output (MU-MIMO) system with one-bit analog-to-digital converters. In this system, a novel limited feedback method for transmit precoding is proposed. The key idea of the proposed feedback method is to use a coding theoretical approach. By converting the MU-MIMO system into the equivalent parallel binary symmetry channels, a receiver constructs multiple precodedchannel- dependent codebooks using both the estimated channel from pilot transmissions and predefined precoding matrices. Then, it sends back the index of the best precoding matrix that maximizes a lower bound of the correct detection probability, which is proportional to the maximum of minimum Hamming distances of the codebooks. One interesting observation is that the proposed method provides a significant gain in terms of bit-error-rates compared to open-loop transmission, even with a few bits feedback under certain antenna configurations.
{"title":"Limited Feedback for MU-MIMO Systems with One-Bit ADCs: A Coding-Theoretical Perspective","authors":"Seunghoon Lee, N. Lee","doi":"10.1109/GCWkshps45667.2019.9024435","DOIUrl":"https://doi.org/10.1109/GCWkshps45667.2019.9024435","url":null,"abstract":"This paper considers a multi-user multiple-input multiple-output (MU-MIMO) system with one-bit analog-to-digital converters. In this system, a novel limited feedback method for transmit precoding is proposed. The key idea of the proposed feedback method is to use a coding theoretical approach. By converting the MU-MIMO system into the equivalent parallel binary symmetry channels, a receiver constructs multiple precodedchannel- dependent codebooks using both the estimated channel from pilot transmissions and predefined precoding matrices. Then, it sends back the index of the best precoding matrix that maximizes a lower bound of the correct detection probability, which is proportional to the maximum of minimum Hamming distances of the codebooks. One interesting observation is that the proposed method provides a significant gain in terms of bit-error-rates compared to open-loop transmission, even with a few bits feedback under certain antenna configurations.","PeriodicalId":210825,"journal":{"name":"2019 IEEE Globecom Workshops (GC Wkshps)","volume":"6 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126988852","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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