The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
MU-MIMO Communications With MIMO Radar: From Co-Existence to Joint Transmission
Open accessAbstract
Beamforming techniques are proposed for a joint multi-input-multi-output (MIMO) radar-communication (RadCom) system, where a single device acts as radar and a communication base station (BS) by simultaneously communicating with downlink users and detecting radar targets. Two operational options are considered, where we first split the antennas into two groups, one for radar and the other for communication. Under this deployment, the radar signal is designed to fall into the null-space of the downlink channel. The communication beamformer is optimized such that the beampattern obtained matches the radar's beampattern while satisfying the communication performance requirements. To reduce the optimizations' constraints, we consider a second operational option, where all the antennas transmit a joint waveform that is shared by both radar and communications. In this case, we formulate an appropriate probing beampattern, while guaranteeing the performance of the downlink communications. By incorporating the SINR constraints into objective functions as penalty terms, we further simplify the original beamforming designs to weighted optimizations, and solve them by efficient manifold algorithms. Numerical results show that the shared deployment outperforms the separated case significantly, and the proposed weighted optimizations achieve a similar performance to the original optimizations, despite their significantly lower computational complexity.
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Boyd, S., & Vandenberghe, L. (2004) · doi:10.1017/cbo9780511804441 · Cited by 56,601
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Self-citationJoint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar
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Liu, F., Liu, Y.-F., Li, A., Masouros, C., & Eldar, Y. C. (2022) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2021.3135692 · Cited by 774
Self-citationIntegrated Sensing and Communication Signals Toward 5G-A and 6G: A Survey
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Limited feedforward waveform design for OFDM dual-functional radar-communications
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Metadata
- Authors
- Liu, F., Masouros, C., Li, A., Sun, H., & Hanzo, L.
- Venue
- IEEE Transactions on Wireless Communications
- Published
- 2018-04
- Volume
- 17
- Issue
- 4
- Pages
- 2755-2770
- ISSN
- 1536-1276 (ISSN-L)
- OpenAlex
- W2964202652
- Cited by
- 944
- References
- 1
- FWCI
- 33.59
- Type
- journal article
- Language
- en
- Open access
- hybrid
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