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Unmanned aerial vehicles (UAVs) have found fast growing applications during the past few years. As such, it is imperative to develop innovative communication technologies for supporting reliable UAV command and control (C&C), as well as mission-related payload communication. However, traditional UAV systems mainly rely on the simple direct communication between the UAV and the ground pilot over unlicensed spectrum (e.g., ISM 2.4GHz), which is typically of low data rate, unreliable, insecure, vulnerable to interference, difficult to legitimately monitor and manage, and can only operate within the visual line of sight (LoS) range. To overcome the above limitations, there has been significant interest in integrating UAVs into cellular communication systems. On the one hand, UAVs with their own missions could be connected into cellular networks as new aerial users. Thanks to the advanced cellular technologies and almost ubiquitous accessibility of cellular networks, cellular-connected UAVs are expected to achieve orders-of-magnitude performance improvement over the existing point-to-point UAV communications. It also offers an effective option to strengthen the legitimate UAV monitoring and management, and achieve more robust UAV navigation by utilizing cellular signals as a complement to GPS (Global Position System). On the other hand, dedicated UAVs could be deployed as aerial base stations (BSs), access points (APs), or relays, to assist terrestrial wireless communications from the sky, leading to another paradigm known as UAV-assisted communications. UAV-assisted communications have several promising advantages, such as the ability to facilitate on-demand deployment, high flexibility in network reconfiguration, high chance of having LoS communication links, and enable numerous applications such as BS traffic offloading, information dissemination and collection for Internet of Things (IoTs). UAV communications are significantly different from conventional communication systems, due to the high altitude and high mobility of UAVs, the unique channel of UAV-ground links, the asymmetric quality of service (QoS) requirements for downlink C&C and uplink mission-related data transmission, the stringent constraints imposed by the size, weight, and power (SWAP) limitations of UAVs, as well as the additional design degrees of freedom enabled by joint UAV mobility control and communication resource allocation.
This academic keynote is on Future of MIMO Communication. Bio: Robert W. Heath Jr. received the Ph.D. in EE from Stanford University. He is a Distinguished Professor at North Carolina State University. He is also the President and CEO of MIMO Wireless Inc. Prof. Heath is a recipient of several awards including recently the 2016 IEEE Communications Society Fred W. Ellersick Prize, the 2016 IEEE Communications Society and Information Theory Society Joint Paper Award, the 2017 IEEE Marconi Prize Paper Award, the 2017 EURASIP Technical Achievement Award, the 2019 IEEE Communications Society Stephen O. Rice Prize, the 2019 IEEE Kiyo Tomiyasu Award, and the 2020 IEEE SPS Donald G. Fink Overview Paper Award. He co-authored “Millimeter Wave Wireless Communications” (Prentice Hall in 2014) and "Foundations of MIMO Communications" (Cambridge 2019). He was EIC of IEEE Signal Processing Magazine from 2018-2020. He is a current member-at-large of the IEEE Communications Society Board-of-Governors (2020-2022) and a past member-at-large of the IEEE Signal Processing Society Board-of-Governors (2016-2018). He is a licensed Amateur Radio Operator, a registered Professional Engineer in Texas, a Private Pilot, a Fellow of the National Academy of Inventors, and a Fellow of the IEEE.