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Sensing-Oriented Adaptive Resource Allocation Designs for OFDM-ISAC Systems

delete2025-01-01
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PRE
AI
P
Peishi Li
M
Ming Li *
R
Rang Liu
Q
Qian Liu
A
A. Lee Swindlehurst
DOI:10.1109/TSP.2025.3638774delete
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Abstract

Abstract

En 中文
Orthogonal frequency division multiplexing - integrated sensing and communication (OFDM-ISAC) has emerged as a key enabler for future wireless networks, leveraging the widely adopted OFDM waveform to seamlessly integrate wireless communication and radar sensing within a unified framework. In this paper, we propose adaptive resource allocation strategies for OFDM-ISAC systems to achieve optimal trade-offs between diverse sensing requirements and communication quality-of-service (QoS). We first develop a comprehensive resource allocation framework for OFDM-ISAC systems, deriving closed-form expressions for key sensing performance metrics including delay resolution, Doppler resolution, delay-Doppler peak sidelobe level (PSL), and sensing signal-to-noise ratio (SNR). Building on this theoretical foundation, we introduce two novel resource allocation algorithms tailored to distinct sensing objectives. The resolution-oriented algorithm aims to maximize the weighted delay-Doppler resolution while satisfying constraints on PSL, sensing SNR, communication sum-rate, and transmit power. The sidelobe-oriented algorithm focuses on minimizing delay-Doppler PSL while satisfying resolution, SNR, and communication constraints. To efficiently solve the resulting non-convex optimization problems, we develop two adaptive resource allocation algorithms based on Dinkelbach's transform and majorization-minimization (MM). Extensive simulations validate the effectiveness of the proposed sensing-oriented adaptive resource allocation strategies in enhancing resolution and sidelobe suppression. Remarkably, these strategies achieve sensing performance nearly identical to that of a radar-only scheme, which dedicates all resources to sensing. These results highlight the superior performance of the proposed methods in optimizing the trade-off between sensing and communication objectives within OFDM-ISAC systems.
Keywords:
Sensors
Resource management
OFDM
Signal to noise ratio
Signal resolution
Signal processing algorithms
Radar
Integrated sensing and communication
Doppler effect
Optimization
Integrated sensing and communication (ISAC)
resource allocation
ambiguity function

Journal

I
IEEE Transactions on Signal Processing
IF:
5.8
Papers:
276
Citations:
0

Organization

University of California System cover
University of California System
Scholars:
37.5W
Papers: 33.7W
Citations: 6.6K
D
Dalian University of Technology
Scholars:
5.8W
Papers: 4.3W
Citations: 5.5W
U
university of california irvine
Scholars:
2.3W
Papers: 1.7W
Citations: 55
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