Integrating Sensing, Computing, and Communication in 6G Wireless Networks: Design and Optimization
Qi Q, Chen X, Khalilimahmoudabadi A, Zhong C, Zhang Z, Ng DWK (2022)
Publication Type: Journal article
Publication year: 2022
Journal
Book Volume: 70
Pages Range: 6212-6227
Issue: 9
DOI: 10.1109/TCOMM.2022.3190363
Abstract
The roll-out of various emerging wireless services has triggered the need for the sixth-generation (6G) wireless networks to provide functions of target sensing, intelligent computing and information communication over the same radio spectrum. In this paper, we provide a unified framework integrating sensing, computing, and communication to optimize limited system resource for 6G wireless networks. In particular, two typical joint beamforming design algorithms are derived based on multi-objective optimization problems (MOOP) with the goals of the weighted overall performance maximization and the total transmit power minimization, respectively. Extensive simulation results validate the effectiveness of the proposed algorithms. Moreover, the impacts of key system parameters are revealed to provide useful insights for the design of integrated sensing, computing, and communication (ISCC).
Authors with CRIS profile
Involved external institutions
Zhejiang University / Chekiang University / 浙江大学
China (CN)
University of New South Wales (UNSW)
Australia (AU)
China (CN)
University of New South Wales (UNSW)
Australia (AU)
How to cite
APA:
Qi, Q., Chen, X., Khalilimahmoudabadi, A., Zhong, C., Zhang, Z., & Ng, D.W.K. (2022). Integrating Sensing, Computing, and Communication in 6G Wireless Networks: Design and Optimization. IEEE Transactions on Communications, 70, 6212-6227. https://doi.org/10.1109/TCOMM.2022.3190363
MLA:
Qi, Qiao, et al. "Integrating Sensing, Computing, and Communication in 6G Wireless Networks: Design and Optimization." IEEE Transactions on Communications 70 (2022): 6212-6227.
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