Wideband Cognitive Radio for Joint Communication and Sensing: Optimization of Subcarrier Allocation and Beamforming

As data traffic grows, wireless systems shift to higher frequency bands (6 GHz and above), where radar systems also operate. This coexistence demands effective interference management and efficient wideband utilization. Cognitive Radio (CR) offers a solution but remains limited to single-node or narrowband systems. This paper introduces a generalized wideband CR-enabled communication and sensing system with multiple users and targets. We propose a communication and sensing sub-carrier allocations framework, followed by transmit beamforming for the primary communication BS and sensing signal design for the secondary radar BS. The goal is to maximize the communication sum rate while ensuring sensing requirements, minimizing interference, and adhering to power constraints. To solve the resulting non-convex problem, we develop a manifold optimization algorithm for communication-only sub-carriers and an alternating optimization approach using the generalized Rayleigh quotient and semidefinite relaxation for communication-sensing sub-carriers. Compared to a non-cooperative benchmark, the proposed system with 12 BS antennas achieves 10.5% and 31.4% gains in communication and sensing rates.

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Publication Details

Journal
IEEE Transactions on Cognitive Communications and Networking
Published
2025-09-02
DOI
https://doi.org/10.1109/tccn.2025.3605330
Citations
1
Primary Topic
Cognitive Radio Networks and Spectrum Sensing
Type
article
Field-Weighted Citation Impact
1.49
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article

Wideband Cognitive Radio for Joint Communication and Sensing: Optimization of Subcarrier Allocation and Beamforming

Chintha Tellambura, Sanjeewa Herath, Diluka Galappaththige
1 citations
IEEE Transactions on Cognitive Communications and Networking
Cognitive Radio Networks and Spectrum Sensing
1.49
article

Wideband Cognitive Radio for Joint Communication and Sensing: Optimization of Subcarrier Allocation and Beamforming

Chintha Tellambura, Sanjeewa Herath, Diluka Galappaththige
article en
1 citations

Abstract

As data traffic grows, wireless systems shift to higher frequency bands (6 GHz and above), where radar systems also operate. This coexistence demands effective interference management and efficient wideband utilization. Cognitive Radio (CR) offers a solution but remains limited to single-node or narrowband systems. This paper introduces a generalized wideband CR-enabled communication and sensing system with multiple users and targets. We propose a communication and sensing sub-carrier allocations framework, followed by transmit beamforming for the primary communication BS and sensing signal design for the secondary radar BS. The goal is to maximize the communication sum rate while ensuring sensing requirements, minimizing interference, and adhering to power constraints. To solve the resulting non-convex problem, we develop a manifold optimization algorithm for communication-only sub-carriers and an alternating optimization approach using the generalized Rayleigh quotient and semidefinite relaxation for communication-sensing sub-carriers. Compared to a non-cooperative benchmark, the proposed system with 12 BS antennas achieves 10.5% and 31.4% gains in communication and sensing rates.

IEEE Transactions on Cognitive Communications and NetworkingVol. 12
Toyota Motor Corporation (Switzerland) (CH), University of Alberta (CA)
Openalex Percentile: Top 13%
Cognitive Radio Networks and Spectrum Sensing
1.49
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Wideband Cognitive Radio for Joint Communication and Sensing: Optimization of Subcarrier Allocation and Beamforming — Chintha Tellambura, Sanjeewa Herath, et al. · IEEE Transactions on Cognitive Communications and Networking (2025) | TGRS Research Map | TGRS