N. T. Nguyen, N. Shlezinger, Y. C. Eldar and M. Juntti, "Multiuser MIMO Wideband Joint Communications and Sensing System With Subcarrier Allocation," in IEEE Transactions on Signal Processing, vol. 71, pp. 2997-3013, 2023, doi: 10.1109/TSP.2023.3302622.
Multiuser MIMO wideband joint communications and sensing system with subcarrier allocation
|Author:||Nguyen, Nhan Thanh1; Shlezinger, Nir2; Eldar, Yonina C.3;|
1Centre for Wireless Communications, University of Oulu, Finland
2School of ECE, Ben-Gurion University of the Negev, Beer-Sheva, Israel
3Faculty of Math and CS, Weizmann Institute of Science, Rehovot, Israel
|Online Access:||PDF Full Text (PDF, 2.5 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe20230829111895
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2023-08-29
In wideband joint communications and sensing (JCAS) systems, the waveforms are often designed and optimized over the entire bandwidth. This significantly limits the degrees of freedom in beamforming and causes severe communications performance loss, especially under a strict radar sensing constraint. In this work, we consider a downlink of a wideband multiuser (MU) multiple-input multiple-output (MIMO) system. We propose a subcarrier allocation strategy incorporated in an efficient JCAS design to improve the communications–sensing performance tradeoff of the system. The main idea is to employ a subset of subcarriers for radar sensing while enabling communications over the entire bandwidth. This creates dedicated subcarriers for communications without any interference from the radar function, whose sensing accuracy can still be guaranteed through strict design constraints. To realize the idea, we formulate the sum rate maximization problem and propose a three-step solution based on successive convex approximation and Riemannian manifold optimization. We further propose efficient initialization methods to reduce complexity and improve the convergence of the employed optimization schemes. Our simulation results for a 32 × 4 MU-MIMO system show that the proposed scheme offers 70% improvement in the system sum rate while guaranteeing the same radar beampattern mean square error and requiring less radio frequency chains compared with the conventional JCAS design over the entire bandwidth.
IEEE transactions on signal processing
|Pages:||2997 - 3013|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This research was supported by Academy of Finland under 6G Flagship (grant 346208), EERA Project (grant 332362), Infotech Oulu, Business Finland, Keysight, MediaTek, Siemens, Ekahau and Verkotan via project 6GLearn.
|Academy of Finland Grant Number:||
346208 (Academy of Finland Funding decision)
332362 (Academy of Finland Funding decision)
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.