An integrated sensing and communications (ISAC) framework that supports chirp signal transmission in CP-OFDM-based multiple access communication systems, enabling efficient coexistence of communication and sensing capabilities is proposed.
Abstract
We propose an integrated sensing and communications (ISAC) framework that supports chirp signal transmission in CP-OFDM-based multiple access communication systems, enabling efficient coexistence of communication and sensing capabilities. Our framework employs the discrete Fourier transform phase rotated and permuted frequency division multiple access (DFT-p-FDMA) waveform to transmit chirp signals using a portion of the frequency resources, while ensuring interference-free concurrent CP-OFDM data transmissions on other bands. We analyze the effective channel behavior under the DFT-p-FDMA waveform, characterizing how delays and Doppler shifts impact radar target echoes. We also show how processing multiple received symbols improves Doppler resolution in practical scenarios. Our framework allows flexible adjustment of range-Doppler resolution through optimized time-frequency resource allocation, offering a versatile solution for ISAC applications. Simulation results validate the framework's performance in delay and Doppler estimation, highlighting its potential to support ISAC in next-generation wireless networks.
This paper analyzes a multi-input multi-output (MIMO)-OFDM-ISAC system in which multiple data streams jointly illuminate a sensing target, and derives second-order moment expressions for the RDM under matched filtering (MF) and reciprocal filtering (RF), and uses them to characterize the dynamic range (DR).
Fifth-generation (5G) communication systems employ orthogonal demodulation reference signals to eliminate pilot contamination and user interference, resulting in a significant overhead for reserving resource elements in the time-frequency grid. 5G technologies rely on orthogonal frequency division multiplexing (OFDM) a...
Rahul Makkar, Divyang Rawal, Vijay Kumar Chakka et al.· IEEE International Symposium...· 0 citations
This paper characterizes FM-OFDM as a sensing waveform based on its bandwidth, ambiguity function, sidelobe behavior, and Doppler estimation capability, and shows that its data dependent sidelobe floor is incoherent and decreases through across frame integration, whereas the corresponding CP-OFDM floor remains unchange...
Integrated sensing and communication (ISAC) is expected to play a key role in future sixth-generation (6G) networks, where random data-bearing signals are reused to support both communications and sensing, thereby improving time-frequency utilization. In practice, the high peak-to-average power ratio (PAPR) of conventi...
Jing-Cheng Shi, Yi-Feng Xiong, Ze-Xuan Jing et al.· IEEE Transactions on Communi...· 1 citation
Orthogonal frequency-division multiplexing (OFDM) is a key waveform for integrated sensing and communication (ISAC). Existing OFDM ambiguity analyses, however, typically assume fully occupied data-only waveforms, whereas practical frames contain direct-current and edge-guard nulls, fixed pilots, and random payload symb...
As one of the novel waveforms recently proposed for future wireless communications, affine frequency division multiplexing (AFDM) is capable of combating the effects of Doppler shifts and its superiority over the widely used orthogonal frequency division multiplexing (OFDM) in high-mobility scenarios has been demonstra...
Ke Jiang, Jing-Xuan Wang, Qin Yi et al.· IEEE International Symposium...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.