Pub Date : 2019-04-01DOI: 10.1109/WAMICON.2019.8765434
Chetana V. Murudkar, R. Gitlin
Machine learning is expected to be a key enabler in 5G wireless self-organizing networks (SONs) that will be significantly more autonomous, smarter, adaptable and user-centric than current networks. This paper proposes a methodology, User Specific-Optimal Capacity Shortest Path (US-OCSP) routing, that uses machine learning to determine the resource-based optimum-capacity shortest path for a user between source and destination. The methodology takes into account two primary metrics, available capacity at network nodes (eNodeBs/gNodeBs) and distance, that are critical in determining the optimal path for an end-user. An ns-3 simulation determines the capacity, which is measured by the availability of resources [i.e., Physical Resource Blocks (PRBs)] at all possible serving network nodes between the source and destination, that is followed by implementation of Q-learning, a reinforcement type of machine learning algorithm that determines the shortest path avoiding congested network nodes so as to achieve the required throughput and/or bit rate. The ability to determine the optimal-capacity shortest path route will facilitate effective resource allocation that will optimize end-user satisfaction in a 5G SON network.
{"title":"Optimal-Capacity, Shortest Path Routing in Self-Organizing 5G Networks using Machine Learning","authors":"Chetana V. Murudkar, R. Gitlin","doi":"10.1109/WAMICON.2019.8765434","DOIUrl":"https://doi.org/10.1109/WAMICON.2019.8765434","url":null,"abstract":"Machine learning is expected to be a key enabler in 5G wireless self-organizing networks (SONs) that will be significantly more autonomous, smarter, adaptable and user-centric than current networks. This paper proposes a methodology, User Specific-Optimal Capacity Shortest Path (US-OCSP) routing, that uses machine learning to determine the resource-based optimum-capacity shortest path for a user between source and destination. The methodology takes into account two primary metrics, available capacity at network nodes (eNodeBs/gNodeBs) and distance, that are critical in determining the optimal path for an end-user. An ns-3 simulation determines the capacity, which is measured by the availability of resources [i.e., Physical Resource Blocks (PRBs)] at all possible serving network nodes between the source and destination, that is followed by implementation of Q-learning, a reinforcement type of machine learning algorithm that determines the shortest path avoiding congested network nodes so as to achieve the required throughput and/or bit rate. The ability to determine the optimal-capacity shortest path route will facilitate effective resource allocation that will optimize end-user satisfaction in a 5G SON network.","PeriodicalId":328717,"journal":{"name":"2019 IEEE 20th Wireless and Microwave Technology Conference (WAMICON)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130410783","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 : 2019-04-01DOI: 10.1109/WAMICON.2019.8765433
K. Shin, Jennifer Arendell, K. Eilert
a compact size 5G n77 band-pass filter (BPF) design fabricated with a Through Silicon Via (TSV) Integrated Passive Device (IPD) process is presented in this paper. Insertion loss ≤ 2.2 dB with ≥ 30dB attenuation at 2.7GHz, 5.18GHz, and ISM band is achieved in a standard 1608 baseline design plus TSV add-on. The proposed design provides >20dB wideband attenuation up to 10GHz with low package variation and added thermal via introduced by TSV process. Therefore, this Silicon IPD with TSV design can support low cost, compact dimension, high precision, and high power requirement of 5G filter. Model correlation is verified through on wafer measurement.
{"title":"Compact 5G n77 Band Pass Filter with Through Silicon Via (TSV) IPD Technology","authors":"K. Shin, Jennifer Arendell, K. Eilert","doi":"10.1109/WAMICON.2019.8765433","DOIUrl":"https://doi.org/10.1109/WAMICON.2019.8765433","url":null,"abstract":"a compact size 5G n77 band-pass filter (BPF) design fabricated with a Through Silicon Via (TSV) Integrated Passive Device (IPD) process is presented in this paper. Insertion loss ≤ 2.2 dB with ≥ 30dB attenuation at 2.7GHz, 5.18GHz, and ISM band is achieved in a standard 1608 baseline design plus TSV add-on. The proposed design provides >20dB wideband attenuation up to 10GHz with low package variation and added thermal via introduced by TSV process. Therefore, this Silicon IPD with TSV design can support low cost, compact dimension, high precision, and high power requirement of 5G filter. Model correlation is verified through on wafer measurement.","PeriodicalId":328717,"journal":{"name":"2019 IEEE 20th Wireless and Microwave Technology Conference (WAMICON)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124144737","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 : 2019-04-01DOI: 10.1109/WAMICON.2019.8765465
Marko Jacovic, M. Kraus, G. Mainland, K. Dandekar
As aspects of our daily lives become more interconnected with the emergence of the Internet of Things (IoT), it is imperative that our devices are reliable and secure from threats. Vulnerabilities of Wi-Fi Protected Access (WPA/WPA2) have been exposed in the past, motivating the use of multiple security techniques, even with the release of WPA3. Physical layer security leverages existing components of communication systems to enable methods of protecting devices that are well-suited for IoT applications. In this work, we provide a low-complexity technique for generating secret keys at the Physical layer to enable improved IoT security. We leverage the existing carrier frequency offset (CFO) and channel estimation components of Orthogonal Frequency Division Multiplexing (OFDM) receivers for an efficient approach. The key generation algorithm we propose focuses on the unique CFO and channel experienced between a pair of desired nodes, and to the best of our understanding, the combination of the features has not been examined previously for the purpose of secret key generation. Our techniques are appropriate for IoT devices, as they do not require extensive processing capabilities and are based on second order statistics. We obtain experimental results using USRP N210 software defined radios and analyze the performance of our methods in post-processing. Our techniques improve the capability of desired nodes to establish matching secret keys, while hindering the threat of an eavesdropper, and are useful for protecting future IoT devices.
{"title":"Evaluation of Physical Layer Secret Key Generation for IoT Devices","authors":"Marko Jacovic, M. Kraus, G. Mainland, K. Dandekar","doi":"10.1109/WAMICON.2019.8765465","DOIUrl":"https://doi.org/10.1109/WAMICON.2019.8765465","url":null,"abstract":"As aspects of our daily lives become more interconnected with the emergence of the Internet of Things (IoT), it is imperative that our devices are reliable and secure from threats. Vulnerabilities of Wi-Fi Protected Access (WPA/WPA2) have been exposed in the past, motivating the use of multiple security techniques, even with the release of WPA3. Physical layer security leverages existing components of communication systems to enable methods of protecting devices that are well-suited for IoT applications. In this work, we provide a low-complexity technique for generating secret keys at the Physical layer to enable improved IoT security. We leverage the existing carrier frequency offset (CFO) and channel estimation components of Orthogonal Frequency Division Multiplexing (OFDM) receivers for an efficient approach. The key generation algorithm we propose focuses on the unique CFO and channel experienced between a pair of desired nodes, and to the best of our understanding, the combination of the features has not been examined previously for the purpose of secret key generation. Our techniques are appropriate for IoT devices, as they do not require extensive processing capabilities and are based on second order statistics. We obtain experimental results using USRP N210 software defined radios and analyze the performance of our methods in post-processing. Our techniques improve the capability of desired nodes to establish matching secret keys, while hindering the threat of an eavesdropper, and are useful for protecting future IoT devices.","PeriodicalId":328717,"journal":{"name":"2019 IEEE 20th Wireless and Microwave Technology Conference (WAMICON)","volume":"5 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126064853","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 : 2019-04-01DOI: 10.1109/WAMICON.2019.8765463
J. Lowe, L. Levesque, Eric O’Dell, L. Dunleavy
This paper will present the concept of discrete part value optimization as a powerful tool in electronic circuit design and simulation. The implementation of this feature in efficient “first-pass” design flows is made possible by innovative scalable passive models combined with the latest advances in industry leading microwave circuit simulators. This work will summarize advantages, implementations and applications of discrete part-value optimizations over traditional tuning and continuous optimization techniques.
{"title":"Enabling Discrete Optimization of Surface Mount Component Values in Microwave Circuit Design","authors":"J. Lowe, L. Levesque, Eric O’Dell, L. Dunleavy","doi":"10.1109/WAMICON.2019.8765463","DOIUrl":"https://doi.org/10.1109/WAMICON.2019.8765463","url":null,"abstract":"This paper will present the concept of discrete part value optimization as a powerful tool in electronic circuit design and simulation. The implementation of this feature in efficient “first-pass” design flows is made possible by innovative scalable passive models combined with the latest advances in industry leading microwave circuit simulators. This work will summarize advantages, implementations and applications of discrete part-value optimizations over traditional tuning and continuous optimization techniques.","PeriodicalId":328717,"journal":{"name":"2019 IEEE 20th Wireless and Microwave Technology Conference (WAMICON)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125811030","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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