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Cross-domain dual-functional OFDM waveform design for accurate sensing/positioning

Cross-domain dual-functional OFDM waveform design for accurate sensing/positioning
Cross-domain dual-functional OFDM waveform design for accurate sensing/positioning
Orthogonal frequency division multiplexing (OFDM) has been widely recognized as the representative waveform for 5G wireless networks, which can directly support sensing/positioning with existing infrastructure. To guarantee superior sensing/positioning accuracy while supporting high- speed communication simultaneously, the dual functions tend to be assigned with different resource elements (REs) due to their diverse design requirements. This motivates optimization of resource allocation/waveform design across time, frequency, power and delay-Doppler domains. Therefore, this article proposes two cross-domain waveform optimization strategies for effective convergence of OFDM-based communication and sensing/positioning, following communication- and sensing- centric criteria, respectively. For the communication-centric design, to maximize the achievable data rate, a fraction of REs are optimally allocated for communication according to prior knowledge of the communication channel. The remaining REs are then employed for sensing/positioning, where the
sidelobe level and peak-to-average power ratio are suppressed by optimizing its power-frequency and phase-frequency characteristics for sensing performance improvement. For the sensing-centric design, a ‘locally’ perfect auto-correlation property is ensured for accurate sensing and positioning by adjusting the unit cells of the ambiguity function within its region of interest (RoI). Afterwards, the irrelevant cells beyond RoI, which can readily determine the sensing power allocation, are optimized with the communication power allocation to enhance the achievable data rate. Numerical results demonstrate the superiority of the proposed waveform designs.
1558-0008
2259-2274
Zhang, Fan
22a0ac7a-2068-4eef-a441-c8efb8f24ed0
Mao, Tianqi
b0e1c806-8540-4a49-a523-6afc6ee7714e
Liu, Ruiqi
dc396ef3-468b-4194-89a3-92aa87ae1c38
Han, Zhu
70b555a3-7673-4022-bda7-de132dc9186e
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Wang, Zhaocheng
70339538-3970-4094-bcfc-1b5111dfd8b4
Zhang, Fan
22a0ac7a-2068-4eef-a441-c8efb8f24ed0
Mao, Tianqi
b0e1c806-8540-4a49-a523-6afc6ee7714e
Liu, Ruiqi
dc396ef3-468b-4194-89a3-92aa87ae1c38
Han, Zhu
70b555a3-7673-4022-bda7-de132dc9186e
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Wang, Zhaocheng
70339538-3970-4094-bcfc-1b5111dfd8b4

Zhang, Fan, Mao, Tianqi, Liu, Ruiqi, Han, Zhu, Chen, Sheng and Wang, Zhaocheng (2024) Cross-domain dual-functional OFDM waveform design for accurate sensing/positioning. IEEE Journal on Selected Areas of Communications, 42 (9), 2259-2274. (doi:10.1109/JSAC.2024.3414001).

Record type: Article

Abstract

Orthogonal frequency division multiplexing (OFDM) has been widely recognized as the representative waveform for 5G wireless networks, which can directly support sensing/positioning with existing infrastructure. To guarantee superior sensing/positioning accuracy while supporting high- speed communication simultaneously, the dual functions tend to be assigned with different resource elements (REs) due to their diverse design requirements. This motivates optimization of resource allocation/waveform design across time, frequency, power and delay-Doppler domains. Therefore, this article proposes two cross-domain waveform optimization strategies for effective convergence of OFDM-based communication and sensing/positioning, following communication- and sensing- centric criteria, respectively. For the communication-centric design, to maximize the achievable data rate, a fraction of REs are optimally allocated for communication according to prior knowledge of the communication channel. The remaining REs are then employed for sensing/positioning, where the
sidelobe level and peak-to-average power ratio are suppressed by optimizing its power-frequency and phase-frequency characteristics for sensing performance improvement. For the sensing-centric design, a ‘locally’ perfect auto-correlation property is ensured for accurate sensing and positioning by adjusting the unit cells of the ambiguity function within its region of interest (RoI). Afterwards, the irrelevant cells beyond RoI, which can readily determine the sensing power allocation, are optimized with the communication power allocation to enhance the achievable data rate. Numerical results demonstrate the superiority of the proposed waveform designs.

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Accepted/In Press date: 10 May 2024
e-pub ahead of print date: 13 June 2024
Published date: 21 August 2024

Identifiers

Local EPrints ID: 490346
URI: http://eprints.soton.ac.uk/id/eprint/490346
ISSN: 1558-0008
PURE UUID: 8364d3d3-8164-44be-8f7b-8659c9672295

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Date deposited: 23 May 2024 17:00
Last modified: 22 Aug 2024 16:33

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Contributors

Author: Fan Zhang
Author: Tianqi Mao
Author: Ruiqi Liu
Author: Zhu Han
Author: Sheng Chen
Author: Zhaocheng Wang

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