3.8 Proceedings Paper

Integrated Sensing and Communication with Millimeter Wave Full Duplex Hybrid Beamforming

Journal

Publisher

IEEE
DOI: 10.1109/ICC45855.2022.9838368

Keywords

Full duplex; millimeter wave; direction estimation; range-Doppler estimation; joint communication and sensing

Funding

  1. National Science Foundation [1620902]
  2. Division of Computing and Communication Foundations
  3. Direct For Computer & Info Scie & Enginr [1620902] Funding Source: National Science Foundation

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This paper presents an Integrated Sensing and Communication (ISAC) system based on full duplex technology at millimeter wave frequencies. The system allows simultaneous communication between a base station and a user while sensing radar targets using the same waveform. Joint optimization of transmit and receive beamformers and self-interference cancellation is proposed to maximize the achievable communication rate and accuracy of radar target sensing.
Integrated Sensing and Communication (ISAC) has attracted substantial attraction in recent years for spectral efficiency improvement, enabling hardware and spectrum sharing for simultaneous sensing and signaling operations. In-band Full Duplex (FD) is being considered as a key enabling technology for ISAC applications due to its simultaneous transmission and reception capability. In this paper, we present an FD-based ISAC system operating at millimeter Wave (mmWave) frequencies, where a massive Multiple-Input Multiple-Output (MIMO) Base Station (BS) node employing hybrid Analog and Digital (A/D) beamforming is communicating with a DownLink (DL) multi-antenna user and the same waveform is utilized at the BS receiver for sensing the radar targets in its coverage environment. We develop a sensing algorithm that is capable of estimating Direction of Arrival (DoA), range, and relative velocity of the radar targets. A joint optimization framework for designing the A/D transmit and receive beamformers as well as the Self-Interference (SI) cancellation is presented with the objective to maximize the achievable DL rate and the accuracy of the radar target sensing performance. Our simulation results, considering fifth Generation (5G) Orthogonal Frequency Division Multiplexing (OFDM) waveforms, verify our approach's high precision in estimating DoA, range, and velocity of multiple radar targets while maximizing the DL communication rate.

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