Pub Date : 2020-10-01DOI: 10.1109/mwc.2020.9241874
Y. Qian
In the October 2020 issue of IEEE Wireless Communications Magazine, we are pleased to present a special issue on “Spectrum and Energy Efficient Wireless Communications” with a collection of 12 articles. In this issue, we are also very glad to present 12 articles accepted from the open call. Driven by new-generation mobile devices and bandwidth consuming applications such as video streaming, wireless traffic volume is expected to continue expanding tremendously in the next few years. Sustaining this growing trend will in turn require higher spectrum capacity from the network side. Research has shown that capacity demand increases much faster than the current spectrum efficiency improvement, in particular at hot spot areas. From recent data, global mobile data traffic increased nearly 11-fold in the last few years. In contrast, the peak data rate from 3G wireless technology to 4G wireless technology only increased 55 percent in the last decade. Clearly there is a huge gap between the capacity growth of new wireless access technologies and the fast growth of wireless traffic volume for the next-generation wireless networks. In the meantime, energy efficiency, commonly defined as information bits per unit of energy, has become another essential requirement for the design of future wireless communication networks besides spectrum efficiency. Energy efficient communications have attracted great attention due to the ever-increasing demand to preserve energy resources and to protect the environment. Furthermore, mobile devices, such as smart phones and tablets, are widely used to conduct new applications such as video content distribution, location-aware advertisement, video chatting, video streaming, music and movie downloading, etc. In the year 2012, mobile video traffic exceeded 50 percent of the total wireless traffic volume for the first time. Mobile video has increased 14-fold since then, accounting for 69 percent of the total mobile data traffic by the end of last year. How to support energy and bandwidth consuming video applications with high QoE is becoming another challenging issue in future wireless networks. Clearly, there is an urgency for a new disruptive paradigm to bridge the gap between the increasing capacity, energy and QoE demands and the deficiency of radio spectrum resources. As wireless channel efficiency is approaching its fundamental limit, improvements in future wireless system capacity can be alternatively realized by networking technologies such as node density increase through underlay and overlay deployments, or by going to a higher spectrum such as millimeter wave to seek more spectrum bandwidth. In addition to delivering the required network spectrum efficiency, energy efficiency and QoE, the anticipated tremendous proliferation of machine-type devices and consumer-wearable devices also makes the underlay wireless network desirable. These small devices usually have limited onboard processing power and battery size. If they
{"title":"Spectrum Efficiency and Energy Efficiency in Wireless Communication Networks","authors":"Y. Qian","doi":"10.1109/mwc.2020.9241874","DOIUrl":"https://doi.org/10.1109/mwc.2020.9241874","url":null,"abstract":"In the October 2020 issue of IEEE Wireless Communications Magazine, we are pleased to present a special issue on “Spectrum and Energy Efficient Wireless Communications” with a collection of 12 articles. In this issue, we are also very glad to present 12 articles accepted from the open call. Driven by new-generation mobile devices and bandwidth consuming applications such as video streaming, wireless traffic volume is expected to continue expanding tremendously in the next few years. Sustaining this growing trend will in turn require higher spectrum capacity from the network side. Research has shown that capacity demand increases much faster than the current spectrum efficiency improvement, in particular at hot spot areas. From recent data, global mobile data traffic increased nearly 11-fold in the last few years. In contrast, the peak data rate from 3G wireless technology to 4G wireless technology only increased 55 percent in the last decade. Clearly there is a huge gap between the capacity growth of new wireless access technologies and the fast growth of wireless traffic volume for the next-generation wireless networks. In the meantime, energy efficiency, commonly defined as information bits per unit of energy, has become another essential requirement for the design of future wireless communication networks besides spectrum efficiency. Energy efficient communications have attracted great attention due to the ever-increasing demand to preserve energy resources and to protect the environment. Furthermore, mobile devices, such as smart phones and tablets, are widely used to conduct new applications such as video content distribution, location-aware advertisement, video chatting, video streaming, music and movie downloading, etc. In the year 2012, mobile video traffic exceeded 50 percent of the total wireless traffic volume for the first time. Mobile video has increased 14-fold since then, accounting for 69 percent of the total mobile data traffic by the end of last year. How to support energy and bandwidth consuming video applications with high QoE is becoming another challenging issue in future wireless networks. Clearly, there is an urgency for a new disruptive paradigm to bridge the gap between the increasing capacity, energy and QoE demands and the deficiency of radio spectrum resources. As wireless channel efficiency is approaching its fundamental limit, improvements in future wireless system capacity can be alternatively realized by networking technologies such as node density increase through underlay and overlay deployments, or by going to a higher spectrum such as millimeter wave to seek more spectrum bandwidth. In addition to delivering the required network spectrum efficiency, energy efficiency and QoE, the anticipated tremendous proliferation of machine-type devices and consumer-wearable devices also makes the underlay wireless network desirable. These small devices usually have limited onboard processing power and battery size. If they","PeriodicalId":13497,"journal":{"name":"IEEE Wirel. Commun.","volume":"37 1","pages":"2-3"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73972641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.1109/mwc.2020.9170259
Y. Qian
{"title":"5G Wireless Communication Networks: Challenges in Security and Privacy","authors":"Y. Qian","doi":"10.1109/mwc.2020.9170259","DOIUrl":"https://doi.org/10.1109/mwc.2020.9170259","url":null,"abstract":"","PeriodicalId":13497,"journal":{"name":"IEEE Wirel. Commun.","volume":"27 1","pages":"2-3"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75575778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.1109/mwc.2020.9170261
W. Mazurczyk, P. Bisson, R. Jover, K. Nakao, Krzysztof Cabaj
The five articles in this special section focus on novel research contributions, demonstration results, and standardization efforts on 5G network security, privacy and trust. Currently it is expected that the generation (5G) wireless systems will soon provide rich ubiquitous communication infrastructure with wide a range of high-quality services. It is foreseen that 5G communications will offer significantly greater data bandwidth and much improved capability for networking, resulting in unfaltering user experiences for services such as: massive content streaming, telepresence, virtual/augmented reality, crowded area communications, user-centric computing, smart personal networks, Internet of Things (IoT), smart buildings, smart cities, etc. 5G systems are currently at the center of attention of academia, industry, and governments worldwide as they drive many new requirements for diff erent network capabilities. As 5G aims at utilizing many promising network technologies, such as Software Defined Networking (SDN), Network Functions Virtualization (NFV), Information Centric Network (ICN), Network Slicing, Cloud Computing, MEC, etc., supporting a huge number of connected devices integrating the above mentioned advanced technologies and innovating new techniques will surely bring tremendous challenges for security, privacy and trust.
{"title":"Challenges and Novel Solutions for 5G Network Security, Privacy and Trust","authors":"W. Mazurczyk, P. Bisson, R. Jover, K. Nakao, Krzysztof Cabaj","doi":"10.1109/mwc.2020.9170261","DOIUrl":"https://doi.org/10.1109/mwc.2020.9170261","url":null,"abstract":"The five articles in this special section focus on novel research contributions, demonstration results, and standardization efforts on 5G network security, privacy and trust. Currently it is expected that the generation (5G) wireless systems will soon provide rich ubiquitous communication infrastructure with wide a range of high-quality services. It is foreseen that 5G communications will offer significantly greater data bandwidth and much improved capability for networking, resulting in unfaltering user experiences for services such as: massive content streaming, telepresence, virtual/augmented reality, crowded area communications, user-centric computing, smart personal networks, Internet of Things (IoT), smart buildings, smart cities, etc. 5G systems are currently at the center of attention of academia, industry, and governments worldwide as they drive many new requirements for diff erent network capabilities. As 5G aims at utilizing many promising network technologies, such as Software Defined Networking (SDN), Network Functions Virtualization (NFV), Information Centric Network (ICN), Network Slicing, Cloud Computing, MEC, etc., supporting a huge number of connected devices integrating the above mentioned advanced technologies and innovating new techniques will surely bring tremendous challenges for security, privacy and trust.","PeriodicalId":13497,"journal":{"name":"IEEE Wirel. Commun.","volume":"31 1","pages":"6-7"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82575919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-12DOI: 10.1109/mwc.2020.9116078
Y. Qian
The papers in this special section focus on advances in security and privacy techniques in emerging wireless networks.
本专题的论文重点介绍了新兴无线网络中安全和隐私技术的进展。
{"title":"Security and Wireless Communication Networks","authors":"Y. Qian","doi":"10.1109/mwc.2020.9116078","DOIUrl":"https://doi.org/10.1109/mwc.2020.9116078","url":null,"abstract":"The papers in this special section focus on advances in security and privacy techniques in emerging wireless networks.","PeriodicalId":13497,"journal":{"name":"IEEE Wirel. Commun.","volume":"10 1","pages":"4-5"},"PeriodicalIF":0.0,"publicationDate":"2020-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79953057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-01DOI: 10.1109/mwc.2020.9116079
Gosan Noh, H. Chung, I. Kim
This paper summarizes the current status and future prospects of the mobile relay technology toward the direction of 5G. It discusses several key technical challenges when developing and deploying a mobile relay system in the aspects of frequency band, mobility, duplexing, and handover. It is expected that a mobile relay can be an efficient and cost effective deployment option in future 5G releases.
{"title":"Mobile Relay Technology for 5G","authors":"Gosan Noh, H. Chung, I. Kim","doi":"10.1109/mwc.2020.9116079","DOIUrl":"https://doi.org/10.1109/mwc.2020.9116079","url":null,"abstract":"This paper summarizes the current status and future prospects of the mobile relay technology toward the direction of 5G. It discusses several key technical challenges when developing and deploying a mobile relay system in the aspects of frequency band, mobility, duplexing, and handover. It is expected that a mobile relay can be an efficient and cost effective deployment option in future 5G releases.","PeriodicalId":13497,"journal":{"name":"IEEE Wirel. Commun.","volume":"1 1","pages":"6-7"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89932078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-01DOI: 10.1109/mwc.2020.9085257
M. Peng, Tony Q. S. Quek, Guoqiang Mao, Z. Ding, Chonggang Wang
The articles in this special section focus on artificial intelligence-driven fog radio access networks. To satisfy the explosively increasing demands of highspeed data applications and access requirements from a massive number of Internet-of-Things (IoT) devices, a paradigm of fog computing-based radio access network (F-RAN) has emerged as a promising evolution path for the fifth generation (5G) radio access networks. By taking full advantage of distributed caching and centralized processing, F-RANs provide great flexibility to satisfy the quality-of-service requirements of various 5G services. With the rapid deployment of 5G communication networks, the application of F-RANs to the envisioned sixth-generation (6G) mobile network has attracted extensive attention from academia, industry, and government agencies. The 6G network progress in enhanced mobile broadband, massive machine-type communications and ultra-reliable and low-latency communications will lead to the fast development of new applications, including augmented reality (AR), virtual reality (VR), holographic communications, vehicle-to-everything (V2X), self-driving cars, massive sensors connective on the ground and several tens of thousands of satellites connective in the sky.
{"title":"Artificial-Intelligence-Driven Fog Radio Access Networks: Recent Advances and Future Trends","authors":"M. Peng, Tony Q. S. Quek, Guoqiang Mao, Z. Ding, Chonggang Wang","doi":"10.1109/mwc.2020.9085257","DOIUrl":"https://doi.org/10.1109/mwc.2020.9085257","url":null,"abstract":"The articles in this special section focus on artificial intelligence-driven fog radio access networks. To satisfy the explosively increasing demands of highspeed data applications and access requirements from a massive number of Internet-of-Things (IoT) devices, a paradigm of fog computing-based radio access network (F-RAN) has emerged as a promising evolution path for the fifth generation (5G) radio access networks. By taking full advantage of distributed caching and centralized processing, F-RANs provide great flexibility to satisfy the quality-of-service requirements of various 5G services. With the rapid deployment of 5G communication networks, the application of F-RANs to the envisioned sixth-generation (6G) mobile network has attracted extensive attention from academia, industry, and government agencies. The 6G network progress in enhanced mobile broadband, massive machine-type communications and ultra-reliable and low-latency communications will lead to the fast development of new applications, including augmented reality (AR), virtual reality (VR), holographic communications, vehicle-to-everything (V2X), self-driving cars, massive sensors connective on the ground and several tens of thousands of satellites connective in the sky.","PeriodicalId":13497,"journal":{"name":"IEEE Wirel. Commun.","volume":"89 1","pages":"12-13"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86856743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-01DOI: 10.1109/mwc.2020.9085256
Imadur Rahman, Thomas Chapman, M. Kazmi, F. Ghasemzadeh
During recent years, the 3GPP ecosystem has developed a fifth generation of wireless technology known as new radio (NR). The next generation specification aims to both improve the performance of mobile broadband and to expand the scope of mobile communications to encompass new so-called verticals (i.e., use cases related to specific industries). Examples of potential new areas include industry and automation, the evolving automobile industry, environmental technologies, the medical industry, and harnessing the potential of artificial intelligence systems (more details in [1] for interested readers). In the mobile broadband sphere, the emergence of applications such as virtual reality and augmented reality drive continuing growth in both traffic and subscribers, and network quality demands such as latency performance. To enable 5G growth, it is thus essential to be able to exploit newly available spectrum resources in addition to currently used spectrum under 4G systems. In this column, we refer to 2.6–7.125 GHz as “mid band” and above 24 GHz as “high band.” Providing mobile broadband services in this spectrum has presented new challenges that needed to be solved both in specifications and in implementation, as described herein. Although the core waveform in 5G NR specification is cyclic prefix orthogonal frequency-division multiplexing (CP-OFDM)based like LTE, the design of NR allows for a very high degree of flexibility in allocating different bandwidth and different numerologies, including decoupling of the total bandwidth supported by the BS and the bandwidths used for communication toward and from different user equipments (UEs). This, combined with advanced carrier aggregation and dual connectivity features, enables tailored support for complex and fragmented spectrum allocations. At medium and high bands, path loss is greater than low bands, which is compensated by beamforming using advanced antenna array technologies. The NR specification includes a large number of features intended to support beamforming processing, ranging from support of a diverse set of MIMO schemes to the development of over-the-air (OTA)-based conformance requirements, which enables tight integration of radio and antennas in large advanced antenna arrays. Even with array processing, uplink coverage with reasonable data rates may be restricted in medium and high bands. To enable flexible utilization of the available spectrum, the 3rd Generation Partnership Project (3GPP) has standardized solutions for sharing the same carriers in regular bands between LTE and NR, while operating CA between regular and mid/ high bands for NR. With such solutions, the high bands can be used close to the base station (BS), while further from the BS the uplink (UL) is provided mainly by the low band part of the NR CA pair, and the downlink (DL) is provided in the high band. The sharing solutions also provide a very effective path for migration from LTE to NR. Studies are ongoing into the
{"title":"Enabling the Potential of 5G: Solutions to the Technical Challenges of the Diverse 5G Bands","authors":"Imadur Rahman, Thomas Chapman, M. Kazmi, F. Ghasemzadeh","doi":"10.1109/mwc.2020.9085256","DOIUrl":"https://doi.org/10.1109/mwc.2020.9085256","url":null,"abstract":"During recent years, the 3GPP ecosystem has developed a fifth generation of wireless technology known as new radio (NR). The next generation specification aims to both improve the performance of mobile broadband and to expand the scope of mobile communications to encompass new so-called verticals (i.e., use cases related to specific industries). Examples of potential new areas include industry and automation, the evolving automobile industry, environmental technologies, the medical industry, and harnessing the potential of artificial intelligence systems (more details in [1] for interested readers). In the mobile broadband sphere, the emergence of applications such as virtual reality and augmented reality drive continuing growth in both traffic and subscribers, and network quality demands such as latency performance. To enable 5G growth, it is thus essential to be able to exploit newly available spectrum resources in addition to currently used spectrum under 4G systems. In this column, we refer to 2.6–7.125 GHz as “mid band” and above 24 GHz as “high band.” Providing mobile broadband services in this spectrum has presented new challenges that needed to be solved both in specifications and in implementation, as described herein. Although the core waveform in 5G NR specification is cyclic prefix orthogonal frequency-division multiplexing (CP-OFDM)based like LTE, the design of NR allows for a very high degree of flexibility in allocating different bandwidth and different numerologies, including decoupling of the total bandwidth supported by the BS and the bandwidths used for communication toward and from different user equipments (UEs). This, combined with advanced carrier aggregation and dual connectivity features, enables tailored support for complex and fragmented spectrum allocations. At medium and high bands, path loss is greater than low bands, which is compensated by beamforming using advanced antenna array technologies. The NR specification includes a large number of features intended to support beamforming processing, ranging from support of a diverse set of MIMO schemes to the development of over-the-air (OTA)-based conformance requirements, which enables tight integration of radio and antennas in large advanced antenna arrays. Even with array processing, uplink coverage with reasonable data rates may be restricted in medium and high bands. To enable flexible utilization of the available spectrum, the 3rd Generation Partnership Project (3GPP) has standardized solutions for sharing the same carriers in regular bands between LTE and NR, while operating CA between regular and mid/ high bands for NR. With such solutions, the high bands can be used close to the base station (BS), while further from the BS the uplink (UL) is provided mainly by the low band part of the NR CA pair, and the downlink (DL) is provided in the high band. The sharing solutions also provide a very effective path for migration from LTE to NR. Studies are ongoing into the ","PeriodicalId":13497,"journal":{"name":"IEEE Wirel. Commun.","volume":"8 1","pages":"6-11"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81719565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-04DOI: 10.1109/mwc.2020.9023916
Tao Chen, Hsiao-Hwa Chen, Zheng Chang, S. Mao
The articles in this special section provide a comprehensive overview on the recent development of the intelligent radio. The advances in wireless communications have continuously been pushing the limit of radio technologies. Nowadays, radio networks can provide extremely high data rate, ultra-low latency, and high reliability to serve communication needs of sectors that could not be imagined before. However, radio technologies have become highly complex and call for new solutions. The recent advances in artificial intelligence (AI), including machine learning (ML), data mining, and big data analysis, bring significant promise for addressing hard problems in radio networks. It has been the increasing trend to move the intelligence beyond the spectrum access, which is primarily targeted by cognitive radio, to address various challenges in radio networks, including, but not limited to, channel modeling, modulation, beamforming, radio resource allocation, and network management. Radio technologies are on the way evolving to the intelligent radio, in which AI/ML frameworks and algorithms are applied to learn from environments and explore hidden characteristics of networks for new capacity, performance, and services. We believe the intelligent radio will be the prominent feature of next generation wireless networks. It calls for interdisciplinary research to integrate the advances in AI/ML, communications, computing, and cloud technologies. Both theoretical and applied breakthroughs are expected in this new area.
{"title":"Intelligent Radio: When Artificial Intelligence Meets the Radio Network","authors":"Tao Chen, Hsiao-Hwa Chen, Zheng Chang, S. Mao","doi":"10.1109/mwc.2020.9023916","DOIUrl":"https://doi.org/10.1109/mwc.2020.9023916","url":null,"abstract":"The articles in this special section provide a comprehensive overview on the recent development of the intelligent radio. The advances in wireless communications have continuously been pushing the limit of radio technologies. Nowadays, radio networks can provide extremely high data rate, ultra-low latency, and high reliability to serve communication needs of sectors that could not be imagined before. However, radio technologies have become highly complex and call for new solutions. The recent advances in artificial intelligence (AI), including machine learning (ML), data mining, and big data analysis, bring significant promise for addressing hard problems in radio networks. It has been the increasing trend to move the intelligence beyond the spectrum access, which is primarily targeted by cognitive radio, to address various challenges in radio networks, including, but not limited to, channel modeling, modulation, beamforming, radio resource allocation, and network management. Radio technologies are on the way evolving to the intelligent radio, in which AI/ML frameworks and algorithms are applied to learn from environments and explore hidden characteristics of networks for new capacity, performance, and services. We believe the intelligent radio will be the prominent feature of next generation wireless networks. It calls for interdisciplinary research to integrate the advances in AI/ML, communications, computing, and cloud technologies. Both theoretical and applied breakthroughs are expected in this new area.","PeriodicalId":13497,"journal":{"name":"IEEE Wirel. Commun.","volume":"20 1","pages":"6-8"},"PeriodicalIF":0.0,"publicationDate":"2020-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80683972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-02-01DOI: 10.1109/mwc.2020.9023914
Y. Qian
{"title":"Artificial Intelligence and Radio Networks","authors":"Y. Qian","doi":"10.1109/mwc.2020.9023914","DOIUrl":"https://doi.org/10.1109/mwc.2020.9023914","url":null,"abstract":"","PeriodicalId":13497,"journal":{"name":"IEEE Wirel. Commun.","volume":"1 1","pages":"2-3"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84577433","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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