Pub Date : 2020-03-01DOI: 10.1109/6GSUMMIT49458.2020.9083848
Austin Stevens, H. Moradi, B. Farhang-Boroujeny
The recently released 3GPP Fifth Generation New Radio (5G NR), does not always meet ultra-reliable low-latency communication (URLLC) requirements that are becoming more necessary as massive machine-type communications (mMTC) evolve. Sixth Generation communications (6G) will implement URLLC solutions capable of satisfying a large spectrum of latency and reliability requirements. Currently, control channels implemented in 5G NR suffer from low spectral efficiency, hence, in a high traffic network may fail to satisfy the URLLC requirements. Cyclic prefixed direct sequence spread spectrum (CP-DSSS) is an LTE compatible waveform that has recently been proposed as a more efficient signaling that better satisfies the needs of URLLC. In this article, CP-DSSS is further developed and its usefulness to a 3GPP-proposed factory floor is presented through a system-level simulation.
{"title":"Ultra-Reliable Low-Latency Control Signaling in a Factory Environment","authors":"Austin Stevens, H. Moradi, B. Farhang-Boroujeny","doi":"10.1109/6GSUMMIT49458.2020.9083848","DOIUrl":"https://doi.org/10.1109/6GSUMMIT49458.2020.9083848","url":null,"abstract":"The recently released 3GPP Fifth Generation New Radio (5G NR), does not always meet ultra-reliable low-latency communication (URLLC) requirements that are becoming more necessary as massive machine-type communications (mMTC) evolve. Sixth Generation communications (6G) will implement URLLC solutions capable of satisfying a large spectrum of latency and reliability requirements. Currently, control channels implemented in 5G NR suffer from low spectral efficiency, hence, in a high traffic network may fail to satisfy the URLLC requirements. Cyclic prefixed direct sequence spread spectrum (CP-DSSS) is an LTE compatible waveform that has recently been proposed as a more efficient signaling that better satisfies the needs of URLLC. In this article, CP-DSSS is further developed and its usefulness to a 3GPP-proposed factory floor is presented through a system-level simulation.","PeriodicalId":385212,"journal":{"name":"2020 2nd 6G Wireless Summit (6G SUMMIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114651593","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 : 2020-03-01DOI: 10.1109/6GSUMMIT49458.2020.9083844
Mohammad Moltafet, Markus Leinonen, M. Codreanu
Freshness of status update packets is essential for wide range of real-time Internet of things applications. In this paper, we study the information freshness of a single-server multi-source queueing model under a first-come first-served (FCFS) serving policy. In the considered model, each source independently generates status update packets according to a Poisson process. The information freshness of the status updates of each source is evaluated by the average age of information (AoI). We derive an approximate expression for the average AoI for a multi-source M/G/1 queueing model having a general service time distribution. Simulation results are provided to validate and assess the tightness of the proposed approximate expression for the average AoI in the M/G/1 queueing model where the service time follows a gamma distribution.
{"title":"An Approximate Expression for the Average AoI in a Multi-Source M/G/1 Queueing Model","authors":"Mohammad Moltafet, Markus Leinonen, M. Codreanu","doi":"10.1109/6GSUMMIT49458.2020.9083844","DOIUrl":"https://doi.org/10.1109/6GSUMMIT49458.2020.9083844","url":null,"abstract":"Freshness of status update packets is essential for wide range of real-time Internet of things applications. In this paper, we study the information freshness of a single-server multi-source queueing model under a first-come first-served (FCFS) serving policy. In the considered model, each source independently generates status update packets according to a Poisson process. The information freshness of the status updates of each source is evaluated by the average age of information (AoI). We derive an approximate expression for the average AoI for a multi-source M/G/1 queueing model having a general service time distribution. Simulation results are provided to validate and assess the tightness of the proposed approximate expression for the average AoI in the M/G/1 queueing model where the service time follows a gamma distribution.","PeriodicalId":385212,"journal":{"name":"2020 2nd 6G Wireless Summit (6G SUMMIT)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122683514","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 : 2020-03-01DOI: 10.1109/6GSUMMIT49458.2020.9083884
Saumya Dwivedi, M. Zoli, A. Barreto, P. Sen, G. Fettweis
Joint sensing and communications is likely to be one of the new features in upcoming 6G systems. With this in mind, we propose a chirp-based waveform that is adequate for both of these purposes. We analyse its performance in two different scenarios, automotive and robotics for industry 4.0, with stochastic radio channel. Moreover, we show how to increase the system security by generating encryption keys from the random common channel using this waveform. To increase the entropy of the key, we develop a wideband approach, based on filterbank filtering.
{"title":"Secure Joint Communications and Sensing using Chirp Modulation","authors":"Saumya Dwivedi, M. Zoli, A. Barreto, P. Sen, G. Fettweis","doi":"10.1109/6GSUMMIT49458.2020.9083884","DOIUrl":"https://doi.org/10.1109/6GSUMMIT49458.2020.9083884","url":null,"abstract":"Joint sensing and communications is likely to be one of the new features in upcoming 6G systems. With this in mind, we propose a chirp-based waveform that is adequate for both of these purposes. We analyse its performance in two different scenarios, automotive and robotics for industry 4.0, with stochastic radio channel. Moreover, we show how to increase the system security by generating encryption keys from the random common channel using this waveform. To increase the entropy of the key, we develop a wideband approach, based on filterbank filtering.","PeriodicalId":385212,"journal":{"name":"2020 2nd 6G Wireless Summit (6G SUMMIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131376749","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 : 2020-03-01DOI: 10.1109/6GSUMMIT49458.2020.9083899
Lun Li, Guanghui Yu, Jin Xu, LiGuang Li
Inspired by the recent outcomes in deep learning, we propose a novel decoding architecture which concatenates a complex-valued convolutional neural network (CCNN) with a belief propagation (BP) decoder for combating correlated noise in the channel. The CCNN can exploit the complex noise correlation and yield a more accurate estimation of the channel noise. Depressing the influence of channel noise via the proposed architecture, the BP decoder can obtain better decoding performances. Furthermore, extensive experiments are carried out to analyze and verify performances of the proposed framework.
{"title":"Channel Decoding Based on Complex-valued Convolutional Neural Networks","authors":"Lun Li, Guanghui Yu, Jin Xu, LiGuang Li","doi":"10.1109/6GSUMMIT49458.2020.9083899","DOIUrl":"https://doi.org/10.1109/6GSUMMIT49458.2020.9083899","url":null,"abstract":"Inspired by the recent outcomes in deep learning, we propose a novel decoding architecture which concatenates a complex-valued convolutional neural network (CCNN) with a belief propagation (BP) decoder for combating correlated noise in the channel. The CCNN can exploit the complex noise correlation and yield a more accurate estimation of the channel noise. Depressing the influence of channel noise via the proposed architecture, the BP decoder can obtain better decoding performances. Furthermore, extensive experiments are carried out to analyze and verify performances of the proposed framework.","PeriodicalId":385212,"journal":{"name":"2020 2nd 6G Wireless Summit (6G SUMMIT)","volume":"14 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120889395","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 : 2020-03-01DOI: 10.1109/6GSUMMIT49458.2020.9083837
Lizeth Lopez-Lopez, Marja Matinmikko-Blue, M. Cardenas-Juarez, E. Stevens-Navarro, Rafael Aguilar-Gonzalez, M. Katz
In recent years, there has been an increasing interest in satisfying the spectrum demand for communications beyond 5G (B5G) at a global level. However, in such a large and diverse country as Mexico, the implementation of B5G wireless networks towards 6G will require new spectrum regulation policies that also take into account the particular aspects of the country, such as population density, geographic diversity, as well as social and economic issues. This paper discusses the asymmetries of the urban and rural scenarios of mobile communications and examines their relationship to the current status of the spectrum for 5G mobile communications in Mexico. Then, it explores the spectrum-related challenges that must be overcome to attain ambitious goals beyond 5G technologies. Thus showing the necessity of novel spectrum allocation mechanisms that consider the myriad of scenarios and their different demands in similar countries, in order to satisfy the requirements of B5G wireless communications and networks.
{"title":"Spectrum Challenges for Beyond 5G: The case of Mexico","authors":"Lizeth Lopez-Lopez, Marja Matinmikko-Blue, M. Cardenas-Juarez, E. Stevens-Navarro, Rafael Aguilar-Gonzalez, M. Katz","doi":"10.1109/6GSUMMIT49458.2020.9083837","DOIUrl":"https://doi.org/10.1109/6GSUMMIT49458.2020.9083837","url":null,"abstract":"In recent years, there has been an increasing interest in satisfying the spectrum demand for communications beyond 5G (B5G) at a global level. However, in such a large and diverse country as Mexico, the implementation of B5G wireless networks towards 6G will require new spectrum regulation policies that also take into account the particular aspects of the country, such as population density, geographic diversity, as well as social and economic issues. This paper discusses the asymmetries of the urban and rural scenarios of mobile communications and examines their relationship to the current status of the spectrum for 5G mobile communications in Mexico. Then, it explores the spectrum-related challenges that must be overcome to attain ambitious goals beyond 5G technologies. Thus showing the necessity of novel spectrum allocation mechanisms that consider the myriad of scenarios and their different demands in similar countries, in order to satisfy the requirements of B5G wireless communications and networks.","PeriodicalId":385212,"journal":{"name":"2020 2nd 6G Wireless Summit (6G SUMMIT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121265183","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 : 2020-03-01DOI: 10.1109/6GSUMMIT49458.2020.9083742
Alok Sethi, J. Aikio, Rehman Akbar, Mikko Hietanen, T. Rahkonen, A. Pärssinen
This paper presents an active RF phase shifter, targeted towards 5G wireless systems, which uses an IQ vector modulator (IQVM) topology with a 10 bit cartesian codebook. The circuit is designed using 45 nm CMOS SOI technology. To generate the I and Q basis vectors for the IQVM, a tunable polyphase filter with a novel tuning mechanism is used, which allows operation over an octave of a frequency range, from 22 GHz to 40 GHz. The RF bandwidth of the proposed phase shifter is 2.5 GHz and can provide in excess of 8 dB of fine gain control over 360 degrees of phase shift. Active area occupied is 0.2 square millimeter. The total DC power consumed from 1 V supply is 36 mW.
{"title":"A 25 GHz Active Phase Shifter Using 10 bit Cartesian Control","authors":"Alok Sethi, J. Aikio, Rehman Akbar, Mikko Hietanen, T. Rahkonen, A. Pärssinen","doi":"10.1109/6GSUMMIT49458.2020.9083742","DOIUrl":"https://doi.org/10.1109/6GSUMMIT49458.2020.9083742","url":null,"abstract":"This paper presents an active RF phase shifter, targeted towards 5G wireless systems, which uses an IQ vector modulator (IQVM) topology with a 10 bit cartesian codebook. The circuit is designed using 45 nm CMOS SOI technology. To generate the I and Q basis vectors for the IQVM, a tunable polyphase filter with a novel tuning mechanism is used, which allows operation over an octave of a frequency range, from 22 GHz to 40 GHz. The RF bandwidth of the proposed phase shifter is 2.5 GHz and can provide in excess of 8 dB of fine gain control over 360 degrees of phase shift. Active area occupied is 0.2 square millimeter. The total DC power consumed from 1 V supply is 36 mW.","PeriodicalId":385212,"journal":{"name":"2020 2nd 6G Wireless Summit (6G SUMMIT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121326882","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 : 2020-03-01DOI: 10.1109/6GSUMMIT49458.2020.9083770
Yan Chen, Peiying Zhu, Gaoning He, Xueqiang Yan, H. Baligh, Jianjun Wu
People tend to overestimate what can be done in one year and to underestimate what can be done in ten years. To get prepared, people have started to ask what the next generation would look like while 5G mobile cellular network is still at its first year of commercial deployment. In this paper, we first take a look back to see what 5G has achieved from its inception up to the year 2020, and then we have an outlook towards another 10 years ahead to the year 2030 where 6G is expected to be enrolled to the market. While 5G gradually opens up the curtain of internet of everything and brings vertical transform to change the society, 6G is believed to open a new era of ‘Internet of Intelligence’ with connected people, connected things, and connected intelligence, solving human challenges in many aspects and helping perfect the world we all live in.
{"title":"From Connected People, Connected Things, to Connected Intelligence","authors":"Yan Chen, Peiying Zhu, Gaoning He, Xueqiang Yan, H. Baligh, Jianjun Wu","doi":"10.1109/6GSUMMIT49458.2020.9083770","DOIUrl":"https://doi.org/10.1109/6GSUMMIT49458.2020.9083770","url":null,"abstract":"People tend to overestimate what can be done in one year and to underestimate what can be done in ten years. To get prepared, people have started to ask what the next generation would look like while 5G mobile cellular network is still at its first year of commercial deployment. In this paper, we first take a look back to see what 5G has achieved from its inception up to the year 2020, and then we have an outlook towards another 10 years ahead to the year 2030 where 6G is expected to be enrolled to the market. While 5G gradually opens up the curtain of internet of everything and brings vertical transform to change the society, 6G is believed to open a new era of ‘Internet of Intelligence’ with connected people, connected things, and connected intelligence, solving human challenges in many aspects and helping perfect the world we all live in.","PeriodicalId":385212,"journal":{"name":"2020 2nd 6G Wireless Summit (6G SUMMIT)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126231445","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 : 2020-03-01DOI: 10.1109/6GSUMMIT49458.2020.9083744
Sheng Chen, Kien Vu, Sheng Zhou, Z. Niu, M. Bennis, M. Latva-aho
Millimeter Wave (mmWave) systems are considered as one of the key technologies in future wireless systems due to the abundant spectrum resources in mmWave band. With the aim of achieving the capacity requirements in vehicular networks, large antenna arrays can be deployed at both the road side units (RSUs) side and the vehicles side. However, dynamic blockage caused by mobile obstacles in mmWave bands may hinder the system reliability. In this work, we study the temporal effects of dynamic blockage in vehicular networks and propose a deep reinforcement learning framework to overcome dynamic blockage. By dynamically adjusting blockage detection parameters and making intelligent handover decisions according to the observed states, system reliability can be significantly improved. Simulation results based on ray-tracing channel data show that the proposed scheme reduces the violation probability by 28.9% over conventional schemes.
{"title":"1 A Deep Reinforcement Learning Framework to Combat Dynamic Blockage in mmWave V2X Networks","authors":"Sheng Chen, Kien Vu, Sheng Zhou, Z. Niu, M. Bennis, M. Latva-aho","doi":"10.1109/6GSUMMIT49458.2020.9083744","DOIUrl":"https://doi.org/10.1109/6GSUMMIT49458.2020.9083744","url":null,"abstract":"Millimeter Wave (mmWave) systems are considered as one of the key technologies in future wireless systems due to the abundant spectrum resources in mmWave band. With the aim of achieving the capacity requirements in vehicular networks, large antenna arrays can be deployed at both the road side units (RSUs) side and the vehicles side. However, dynamic blockage caused by mobile obstacles in mmWave bands may hinder the system reliability. In this work, we study the temporal effects of dynamic blockage in vehicular networks and propose a deep reinforcement learning framework to overcome dynamic blockage. By dynamically adjusting blockage detection parameters and making intelligent handover decisions according to the observed states, system reliability can be significantly improved. Simulation results based on ray-tracing channel data show that the proposed scheme reduces the violation probability by 28.9% over conventional schemes.","PeriodicalId":385212,"journal":{"name":"2020 2nd 6G Wireless Summit (6G SUMMIT)","volume":"16 19","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141227405","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：