Delivering Ultra-Reliable, Low-Latency Communications, by Dr. Omid Semiari
Department of Electrical and Computer Engineering, Georgia Southern University
Abstract– Emerging wireless services such as augmented reality require next-generation wireless networks to support ultra-reliable and low-latency communication (URLLC), while also guaranteeing high data rates. Existing wireless networks that solely rely on the scarce sub-6 GHz, microwave (μW) frequency bands will be unable to meet the low-latency, high capacity requirements of future wireless services due to spectrum scarcity. Meanwhile, operating at high-frequency millimeter wave (mmWave) bands are seen as an attractive solution, primarily due to the bandwidth availability and possibility of large-scale multi-antenna communication. However, even though leveraging the large bandwidth at mmWave frequencies can potentially boost the wireless capacity and reduce the transmission delay for low-latency applications, mmWave communication is inherently unreliable due to its susceptibility to blockage, high path loss, and channel uncertainty. Hence, to provide URLLC and high-speed wireless access, it is desirable to seamlessly integrate the reliability of μW networks with the high capacity of mmWave networks. In this talk, we will first provide an overview on fifth-generation (5G) wireless networks, service requirements, and main challenges. Second, we introduce the vision of integrated mmWave sub-6 GHz communications as a key enabler to achieve URLLC along with high data rates by leveraging the best of two worlds: reliable, long-range communications at the μW bands and directional high-speed communications at the mmWave frequencies. Within this integrated networking paradigm, we present our key solution concepts that include new architectures for the radio interface, resource allocation methods, along with mobility management. Finally, we present preliminary results of our future research directions.
Omid Semiari is an Assistant Professor at the Electrical and Computer Engineering Department at Georgia Southern University. He received the BSc and MSc degrees in electrical engineering from the University of Tehran, in 2010 and 2012, respectively, and the PhD degree from Virginia Tech, in 2017. His research interests include wireless networks, millimeter wave communications, context-aware resource allocation, matching theory, machine learning, and signal processing. In 2014, Dr. Semiari has worked as an intern at Bell Labs, in Stuttgart, on anticipatory, context-aware resource management in cellular networks. In 2016, he has joined Qualcomm CDMA Technologies (QCT) for a summer internship, working on LTE-Advanced modem design. Dr. Semiari is the recipient of several research fellowship awards, including DAAD (German Academic Exchange Service) scholarship and NSF student travel grant. He has actively served as a reviewer for flagship IEEE Transactions and conferences and participated as the technical program committee (TPC) member for a variety of workshops at IEEE conferences, such as ICC and GLOBECOM. Currently, he serves as a member of editorial board for the IEEE ComSoc TCBNC blog and IEEE ComSoc TCCN Newsletter.
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