{"title":"Neural Network-Based Mitigation of Nonlinear Inband Distortion in Coded OFDM System","authors":"N. Taherkhani, K. Kiasaleh","doi":"10.1109/DCAS51144.2020.9330672","DOIUrl":"https://doi.org/10.1109/DCAS51144.2020.9330672","url":null,"abstract":"Orthogonal frequency-division multiplexing (OFDM) technique suffers from the high peak-to-average power ratio (PAPR) drawback due to its multicarrier modulation nature. Clipping techniques can reduce the PAPR. However, they generate a clipping noise that distorts the in-band spectrum of OFDM and increases the error vector magnitude (EVM). Considering that nonlinear distortion impacts some subcarriers more than others, this work proposes an approach in which an artificial neural network (ANN) is trained to predict the highly distorted subcarriers in the clipped OFDM signal. Information in the frequency-domain is first encoded by Reed Solomon (RS) encoder, and then an ANN is used to forecast the indices of severely distorted subcarriers and punctures their corresponding symbols in RS codewords before OFDM multiplexing. Simulation results demonstrate the accuracy of our method in deactivating the erroneous subcarriers in OFDM with nonlinear noise and improving the bit error rate (BER) performance of the system while reducing complexity.","PeriodicalId":428765,"journal":{"name":"2020 IEEE 14th Dallas Circuits and Systems Conference (DCAS)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123143840","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}
{"title":"Magneto-electric Transistor Devices and Circuits with Steering Logic","authors":"A. Marshall, P. Dowben","doi":"10.1109/DCAS51144.2020.9330662","DOIUrl":"https://doi.org/10.1109/DCAS51144.2020.9330662","url":null,"abstract":"Magneto-electric transistor (MEFET) schemes are voltage-controlled spintronic devices. Introduced here is a one-source two-drain magneto-electric MEFET, such that each gate has two outputs. This allows logic to be configured with a steering function, switching the electron flux to one of two outputs termed “steering logic”. The result is a highly efficient and simple scheme for logic implementation. A majority gate can be constructed with four components (four single input devices) but with only one leakage path and requiring only a single clock cycle to complete the function.","PeriodicalId":428765,"journal":{"name":"2020 IEEE 14th Dallas Circuits and Systems Conference (DCAS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132303182","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}
Hadi Mardani Kamali, K. Z. Azar, Shervin Roshanisefat, Ashka Vakil, Avesta Sasan
{"title":"ExTru: A Lightweight, Fast, and Secure Expirable Trust for the Internet of Things","authors":"Hadi Mardani Kamali, K. Z. Azar, Shervin Roshanisefat, Ashka Vakil, Avesta Sasan","doi":"10.1109/DCAS51144.2020.9330632","DOIUrl":"https://doi.org/10.1109/DCAS51144.2020.9330632","url":null,"abstract":"The resource-constrained nature of the Internet of Things (IoT) edges, poses a challenge in designing a secure and high-performance communication for this family of devices. Although side-channel resistant ciphers (either block or stream) could guarantee the security of the communication, the energy intensive nature of these ciphers makes them undesirable for lightweight IoT solutions. In this paper, we introduce ExTru, an encrypted communication protocol based on stream ciphers that adds a configurable switching & toggling network (CSTN) to not only boost the performance of the communication in these devices, it also consumes far less energy than the conventional side-channel resistant ciphers. Although the overall structure of the proposed scheme is leaky against physical attacks, we introduce a dynamic encryption mechanism that removes this vulnerability. We demonstrate how each communicated message in the proposed scheme reduces the level of trust. Accordingly, since a specific number of messages, N, could break the communication and extract the key, by using the dynamic encryption mechanism, ExTru can re-initiate the level of trust periodically after $T$ messages where T < N, to protect the communication against side-channel and scan-based attacks (e.g. SAT attack). Furthermore, we demonstrate that by properly configuring the value of T, ExTru not only increases the strength of security from per “device” to per “message”, it also significantly improves energy saving as well as throughput vs. an architecture that only uses a conventional side-channel resistant block/stream cipher.","PeriodicalId":428765,"journal":{"name":"2020 IEEE 14th Dallas Circuits and Systems Conference (DCAS)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127385761","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}