Pub Date : 2019-12-01DOI: 10.1109/mwc.2019.8938176
J. Rodrigues, Sohail Jabbar, M. Abdallah, C. Verikoukis, M. Guizani
As networks have continued to gain popularity throughout the 1980s and well into today, communication technologies have taken a critical number of major t wists and turns, with a wide variety of wireless technologies, protocols, services, and configurations developed and deployed. There have been murmurs of network functions virtualization and software-defined networking in the past 10 years, but these technologies have been caught in the spotlight of attention in recent years. Today, network functions (e.g., firewalls) reside in the cloud to increase network agility and scalability while also enabling effective use of net work resources. Similarly, mobility has advanced from an employee’s former luxury to today ’s business necessity. Mobile devices and smartphones have not only transformed personal communicat ions but also increased business productivity and revolutionized society. Consonantly, the Internet of Things (IoT) has been dominating the technological landscape, from autonomous connected vehicles to wearable devices.
{"title":"Future Communication Trends toward Internet of Things Services and Applications","authors":"J. Rodrigues, Sohail Jabbar, M. Abdallah, C. Verikoukis, M. Guizani","doi":"10.1109/mwc.2019.8938176","DOIUrl":"https://doi.org/10.1109/mwc.2019.8938176","url":null,"abstract":"As networks have continued to gain popularity throughout the 1980s and well into today, communication technologies have taken a critical number of major t wists and turns, with a wide variety of wireless technologies, protocols, services, and configurations developed and deployed. There have been murmurs of network functions virtualization and software-defined networking in the past 10 years, but these technologies have been caught in the spotlight of attention in recent years. Today, network functions (e.g., firewalls) reside in the cloud to increase network agility and scalability while also enabling effective use of net work resources. Similarly, mobility has advanced from an employee’s former luxury to today ’s business necessity. Mobile devices and smartphones have not only transformed personal communicat ions but also increased business productivity and revolutionized society. Consonantly, the Internet of Things (IoT) has been dominating the technological landscape, from autonomous connected vehicles to wearable devices.","PeriodicalId":13497,"journal":{"name":"IEEE Wirel. Commun.","volume":"13 1","pages":"6-8"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91300990","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 describes the Shadow Cluster concept, a novel idea that can be used to improve the resource allocation and the call admission procedures in wire less networks. Shadow clusters can be used to allocate resources that need to be reserved for call hand-offs, and to determine if a new call should be admitted to a wireless network based on the call’s requirements and local traffic conditions. The shadow cluster concept is targeted for ATM-based wireless networks with a micro/n.ano-cellular architecture, where service will be provided to users with very diverse requirements. In these n.etworks, and as a consequence of the small cell sizes, mobile users will typically experience a high number of cell hand-offs during their connections’ lifetime. ‘With shadow clust.ers, the quality of service of mobile calls can be improved by reducing the number of dropped calls during hand-offs, and by disallowing the establishment of new calls that are highly likely to later result in a dropped call. The framework of a shadow cluster system is completely distributed, and can be viewed as a message system where a mobile terminal informs the base stations in the neighborhood about i.ts requirements, position, and movement parameters, so that the base stations project future demands, reserve resources accordingly, and admit onlv Permission to ma:ke digital/hard copies of all or part of this material for Personal or classroom use is granted without fee provided that the copies are not made or distributed for profit or commercial advantage, the copyright notice, the title of the publication and its date appear, and notice is given that copyright is by permission of the ACM, Inc. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires specific permission and/or fee. MOBICOM 95 Berkeley CA USA Q 1995 ACM 0-89791-814-2/95/10..$3.50 :Mahmoud Naghshineh IBM T.J. Watson Research Center Yorktown Heights, NY 10598 Tel: (914)-784-6231 E-Mail: mahmoud@wat.son.ibm.com those calls that can be supported adequately. In this paper, we describe how base stations define and main tain shadow clusters by multicasting probabilistic information on the future position of their mobiles with active calls. In addition, we propose resource allocation and call admission algorithms based on the information provided by the shadow clusters.
本文描述了影子集群的概念，这是一种新的思想，可用于改进无线网络中的资源分配和呼叫接纳程序。影子集群可用于分配需要为呼叫切换保留的资源，并根据呼叫的需求和本地流量条件确定是否应该允许新呼叫进入无线网络。影子集群的概念针对的是基于atm的微/n无线网络。无蜂窝架构，服务将提供给不同需求的用户。在这些网络中，由于蜂窝尺寸较小，移动用户在其连接的生命周期内通常会经历大量的蜂窝切换。“带着阴影。”嗯，通过减少转接过程中掉线的电话数量，以及不允许建立很可能导致掉线的新电话，可以提高移动电话的服务质量。影子集群系统的框架是完全分布式的，可以看作是一个消息系统，移动终端将自己的需求、位置和移动参数告知附近的基站，基站据此预测未来的需求，储备资源;允许免费制作本材料的全部或部分数字/硬拷贝供个人或课堂使用，前提是这些拷贝不是为了盈利或商业利益而制作或分发的，版权声明、出版物标题和发布日期必须出现，并注明版权是由ACM, Inc.许可的。以其他方式复制，重新发布，在服务器上发布或重新分发到列表，需要特定的许可和/或费用。MOBICOM 95 Berkeley CA USA Q 1995 ACM 0-89791-814-2/95/10. $3.50:Mahmoud Naghshineh IBM T.J. Watson研究中心Yorktown Heights, NY 10598电话:(914)-784-6231 E-Mail: mahmoud@wat.son.ibm.com这些电话可以得到充分的支持。在本文中，我们描述了基站如何通过多播有关其具有主动呼叫的移动设备未来位置的概率信息来定义和维护阴影集群。此外，我们提出了基于阴影聚类提供的信息的资源分配和呼叫接纳算法。
{"title":"Scanning the literature","authors":"B. Li","doi":"10.1145/583982.583986","DOIUrl":"https://doi.org/10.1145/583982.583986","url":null,"abstract":"This paper describes the Shadow Cluster concept, a novel idea that can be used to improve the resource allocation and the call admission procedures in wire less networks. Shadow clusters can be used to allocate resources that need to be reserved for call hand-offs, and to determine if a new call should be admitted to a wireless network based on the call’s requirements and local traffic conditions. The shadow cluster concept is targeted for ATM-based wireless networks with a micro/n.ano-cellular architecture, where service will be provided to users with very diverse requirements. In these n.etworks, and as a consequence of the small cell sizes, mobile users will typically experience a high number of cell hand-offs during their connections’ lifetime. ‘With shadow clust.ers, the quality of service of mobile calls can be improved by reducing the number of dropped calls during hand-offs, and by disallowing the establishment of new calls that are highly likely to later result in a dropped call. The framework of a shadow cluster system is completely distributed, and can be viewed as a message system where a mobile terminal informs the base stations in the neighborhood about i.ts requirements, position, and movement parameters, so that the base stations project future demands, reserve resources accordingly, and admit onlv Permission to ma:ke digital/hard copies of all or part of this material for Personal or classroom use is granted without fee provided that the copies are not made or distributed for profit or commercial advantage, the copyright notice, the title of the publication and its date appear, and notice is given that copyright is by permission of the ACM, Inc. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires specific permission and/or fee. MOBICOM 95 Berkeley CA USA Q 1995 ACM 0-89791-814-2/95/10..$3.50 :Mahmoud Naghshineh IBM T.J. Watson Research Center Yorktown Heights, NY 10598 Tel: (914)-784-6231 E-Mail: mahmoud@wat.son.ibm.com those calls that can be supported adequately. In this paper, we describe how base stations define and main tain shadow clusters by multicasting probabilistic information on the future position of their mobiles with active calls. In addition, we propose resource allocation and call admission algorithms based on the information provided by the shadow clusters.","PeriodicalId":13497,"journal":{"name":"IEEE Wirel. Commun.","volume":"76 1","pages":"7"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79501123","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 : 2019-10-01DOI: 10.1109/mwc.2019.8883122
Yongpeng Wu, T. Duong, A. L. Swindlehurst
The eight articles in this special section provide the latest survey of physical layer security research on various promising techniques for 5G era and beyond networks. The number of mobile-connected wireless devices is quickly growing and will reach 11 billion by 2020, exceeding the world’s projected population at that time (7.8 billion). Meanwhile, the demand for wireless data transmission in futuristic wireless networks is growing exponentially. For example, a mobile user is expected to download approximately 1 terabyte of data on average annually by 2020. Cutting-edge wireless-enabled applications, such as e-healthcare, augmented reality, Tactile Internet, and the Internet of Vehicles (IoV), are becoming a reality, which is triggering an explosion of mobile data traffic, a rapid increase in the number of end-devices, massive instantaneous end-to-end connections, and high-reliability low-latency services. It will be an extremely daunting task for fourth generation (4G) networks to meet the ever-increasing communication needs, and the aforementioned features have been recognized as essential requirements for the fifth generation (5G) era and beyond.
{"title":"Safeguarding 5G-and-Beyond Networks with Physical Layer Security","authors":"Yongpeng Wu, T. Duong, A. L. Swindlehurst","doi":"10.1109/mwc.2019.8883122","DOIUrl":"https://doi.org/10.1109/mwc.2019.8883122","url":null,"abstract":"The eight articles in this special section provide the latest survey of physical layer security research on various promising techniques for 5G era and beyond networks. The number of mobile-connected wireless devices is quickly growing and will reach 11 billion by 2020, exceeding the world’s projected population at that time (7.8 billion). Meanwhile, the demand for wireless data transmission in futuristic wireless networks is growing exponentially. For example, a mobile user is expected to download approximately 1 terabyte of data on average annually by 2020. Cutting-edge wireless-enabled applications, such as e-healthcare, augmented reality, Tactile Internet, and the Internet of Vehicles (IoV), are becoming a reality, which is triggering an explosion of mobile data traffic, a rapid increase in the number of end-devices, massive instantaneous end-to-end connections, and high-reliability low-latency services. It will be an extremely daunting task for fourth generation (4G) networks to meet the ever-increasing communication needs, and the aforementioned features have been recognized as essential requirements for the fifth generation (5G) era and beyond.","PeriodicalId":13497,"journal":{"name":"IEEE Wirel. Commun.","volume":"61 1","pages":"4-5"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85758374","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 : 2019-07-01DOI: 10.1109/MWC.2019.8752473
Younsun Kim, Youngbum Kim, Jinyoung Oh, Hyoungju Ji, Jeongho Yeo, Seung-Ji Choi, Hyunseok Ryu, Hoondong Noh, Taehyoung Kim, Feifei Sun, Yi Wang, Y. Qi, Juho Lee
New Radio (NR), which is part of Release 15 of Third Generation Partnership Project (3GPP) standards, marks the first fifth generation (5G) standards designed to meet the requirements set forth by the International Telecommunication Union for IMT-2020. This article presents an overview of the NR radio interface and the ongoing work in 3GPP to evolve NR toward 5G-Advanced, allowing it to access new spectrum and support a broader range of vertical services while enhancing its performance beyond what is available today.
{"title":"New Radio (NR) and its Evolution toward 5G-Advanced","authors":"Younsun Kim, Youngbum Kim, Jinyoung Oh, Hyoungju Ji, Jeongho Yeo, Seung-Ji Choi, Hyunseok Ryu, Hoondong Noh, Taehyoung Kim, Feifei Sun, Yi Wang, Y. Qi, Juho Lee","doi":"10.1109/MWC.2019.8752473","DOIUrl":"https://doi.org/10.1109/MWC.2019.8752473","url":null,"abstract":"New Radio (NR), which is part of Release 15 of Third Generation Partnership Project (3GPP) standards, marks the first fifth generation (5G) standards designed to meet the requirements set forth by the International Telecommunication Union for IMT-2020. This article presents an overview of the NR radio interface and the ongoing work in 3GPP to evolve NR toward 5G-Advanced, allowing it to access new spectrum and support a broader range of vertical services while enhancing its performance beyond what is available today.","PeriodicalId":13497,"journal":{"name":"IEEE Wirel. Commun.","volume":"47 1","pages":"2-7"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85844277","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 : 2019-06-01DOI: 10.1109/MWC.2019.8752476
Kai Hwang, Min Chen, H. Gharavi, Victor C. M. Leung
The 13 articles in this special section focus on artificial intelligence and cognitive wireless communications. With the rapid development of wireless communication and networking technologies, novel information services and applications are booming globally. Advanced communications and networks greatly enhance users’ experience and have had a significant impact on all aspects of people’s lives, including at home, at work, in social exchanges, and economically. Although these advanced techniques have extensively improved users’ quality of experience (QoE), they are not adequate to meet the various requirements of seamless wide area coverage, high-capacity hotspot, low-power massive connections, low latency and high reliability, and other scenarios. Under the new service paradigm, artificial intelligence (AI) is significant for cognitive wireless communications to meet various technical challenges. The application potential includes complicated decision making, wireless network management, resource optimization, and in-depth knowledge discovery in complex wireless networking environments. These articles present a comprehensive view of research challenges and opportunities regarding AI for cognitive wireless communications in order to cope with the extreme demands of user experience, efficiency, and performance in a complex wireless networking environment.
{"title":"Artificial Intelligence for Cognitive Wireless Communications","authors":"Kai Hwang, Min Chen, H. Gharavi, Victor C. M. Leung","doi":"10.1109/MWC.2019.8752476","DOIUrl":"https://doi.org/10.1109/MWC.2019.8752476","url":null,"abstract":"The 13 articles in this special section focus on artificial intelligence and cognitive wireless communications. With the rapid development of wireless communication and networking technologies, novel information services and applications are booming globally. Advanced communications and networks greatly enhance users’ experience and have had a significant impact on all aspects of people’s lives, including at home, at work, in social exchanges, and economically. Although these advanced techniques have extensively improved users’ quality of experience (QoE), they are not adequate to meet the various requirements of seamless wide area coverage, high-capacity hotspot, low-power massive connections, low latency and high reliability, and other scenarios. Under the new service paradigm, artificial intelligence (AI) is significant for cognitive wireless communications to meet various technical challenges. The application potential includes complicated decision making, wireless network management, resource optimization, and in-depth knowledge discovery in complex wireless networking environments. These articles present a comprehensive view of research challenges and opportunities regarding AI for cognitive wireless communications in order to cope with the extreme demands of user experience, efficiency, and performance in a complex wireless networking environment.","PeriodicalId":13497,"journal":{"name":"IEEE Wirel. Commun.","volume":"49 1","pages":"10-11"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89953877","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 : 2019-04-26DOI: 10.1109/MWC.2019.8700131
M. Marcus
While the International Telecommunication Union (ITU) Table of International Allocations and most national allocations tables have listed spectrum allocations up to 275 GHz, in reality specific policies for technologies above 100 GHz have been very rare until recently. Both Conference of European Postal & Telecommunications (CEPT)/ERC, the group of European spectrum regulators, and the Japanese regulator MIC have had some specific provisions for this spectrum region. On March 15, 2019 the U.S. spectrum regulator FCC made a decision for this spectrum that opens a variety of new opportunities for use of this spectrum.
{"title":"Progress in Opening Access to Spectrum above 100 GHz","authors":"M. Marcus","doi":"10.1109/MWC.2019.8700131","DOIUrl":"https://doi.org/10.1109/MWC.2019.8700131","url":null,"abstract":"While the International Telecommunication Union (ITU) Table of International Allocations and most national allocations tables have listed spectrum allocations up to 275 GHz, in reality specific policies for technologies above 100 GHz have been very rare until recently. Both Conference of European Postal & Telecommunications (CEPT)/ERC, the group of European spectrum regulators, and the Japanese regulator MIC have had some specific provisions for this spectrum region. On March 15, 2019 the U.S. spectrum regulator FCC made a decision for this spectrum that opens a variety of new opportunities for use of this spectrum.","PeriodicalId":13497,"journal":{"name":"IEEE Wirel. Commun.","volume":"24 1","pages":"2-3"},"PeriodicalIF":0.0,"publicationDate":"2019-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79066925","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：