Optimum Co-Design for Spectrum Sharing between Matrix Completion Based MIMO Radars and a MIMO Communication System

By Bo Li, Athina P. Petropulu, Wade Trappe. IEEE Transactions on Signal Processing, 2015

349 citations recorded by the source corpus.

Spectrum sharing enables radar and communication systems to share the spectrum efficiently by minimizing mutual interference. Recently proposed multiple-input multiple-output radars based on sparse sensing and matrix completion (MIMO-MC), in addition to reducing communication bandwidth and power as compared with MIMO radars, offer a significant advantage for spectrum sharing. The advantage stems from the way the sampling scheme at the radar receivers modulates the interference channel from the communication system transmitters, rendering it symbol dependent and reducing its row space. This makes it easier for the communication system to design its waveforms in an adaptive fashion so that it minimizes the interference to the radar subject to meeting rate and power constraints. Two methods are proposed. First, based on the knowledge of the radar sampling scheme, the communication system transmit covariance matrix is designed to minimize the effective interference power (EIP) at the radar receiver, while maintaining certain average capacity and transmit power for the communication system. Second, a joint design of the communication transmit covariance matrix and the MIMO-MC radar sampling scheme is proposed, which achieves even further EIP reduction.

Subfields: Aerospace Engineering, Computational Mechanics, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/2c90ecf0949cdabc7c3792c6fbc3a7d8c9574567

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

In Computational Mechanics

In Computer Networks and Communications

Citations in the corpus

Radar and Communication Coexistence: An Overview: A Review of Recent Methods (2019, background): “Cooperation between the active systems, possibly operating in full spectral overlap, in order to negotiate the respective transmit policies and adjust the corresponding detection/demodulation strategies is the idea underlying co-design, first introduced in [3], and further developed in [14]–[19].”
An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing (2021, neutral): “The coexistence of C&R systems has been extensively studied in the past decade, with a focus on developing ef-ﬁcient interference management techniques so that the two individually deployed systems can operate smoothly without interfering with each other [3], [6], [14]–[18].”
MU-MIMO Communications With MIMO Radar: From Co-Existence to Joint Transmission (2017, background): “Similar work has been done in [10], [11] for the co-existence between the MIMO matrix completion (MIMO-MC) radar and point-to-point (P2P) MIMO communications, where the radar sub-sampling matrix is further introduced as a variable in the optimizations.”
Towards Multi-Functional 6G Wireless Networks: Integrating Sensing, Communication and Security (2021, background): “As an early stage of ISAC, communication and radar spectrum sharing (CRSS) has been investigated from the perspective of spectrum sensing, dynamic spectrum access, and mutual interference mitigation [7].”
Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead (2019, methodology): “Pioneering effort on optimization based beamforming/signaling for the RCC is the work in [64], where the coexistence of a point-to-point (P2P) MIMO communication system and a Matrix-Completion MIMO (MC-MIMO) radar is considered.”
Radar-Communications Convergence: Coexistence, Cooperation, and Co-Design (2017, background): “MIMO radar techniques have also been proposed, given that the independent transmitted waveforms allow more degrees of freedom for joint radar-communications co-design [25]–[27].”
Secure Radar-Communication Systems With Malicious Targets: Integrating Radar, Communications and Jamming Functionalities (2019, background): “ng 865 MHz to support telemetry by the year of 2025, but only 445 MHz is available at present [1]. As a result, the operating frequency bands of communication and radar are overlapped with each other [2], which leads to mutual interference between two systems. Furthermore, both systems have been rec”
Enabling Joint Communication and Radar Sensing in Mobile Networks—A Survey (2020, background): “The coexistence of communication and radar systems has been extensively studied in the past decade, with a focus on developing efficient interference management techniques so that the two individually deployed systems can operate smoothly without interfering with each other [9]–[13].”
Toward Dual-functional Radar-Communication Systems: Optimal Waveform Design (2017, background): “Similar work has been done for the coexistence between the MIMO-matrix completion (MIMO-MC) radar and point-to-point (P2P) MIMO communications [13], [14], where the radar sub-sampling matrix is further introduced as an optimization variable.”
Throughput Maximization for UAV-Enabled Integrated Periodic Sensing and Communication (2022, background): “Different from the spectrum sharing between separate radar sensing and communication systems [3], ISAC shares the same wireless infrastructures for simultaneously conveying information to the receiver and extracting information from the scattered echoes [4].”
Dual-Function Radar Communication Systems: A solution to the spectrum congestion problem (2019, background): “A different approach to coexistence, referred to as codesign, enables the two systems to operate in concert and jointly optimize their performances [8], [9].”
Optimal Transmit Beamforming for Integrated Sensing and Communication (2021, positive): “, interference null-space projection [25], [26], opportunistic spectrum sharing [27], and transmit beamforming optimization [11], [28], [29], [30], [31], [32].”