Carrier Aggregation Enabled MIMO-OFDM Integrated Sensing and Communication
arxiv(2024)
Abstract
In the evolution towards the forthcoming era of sixth-generation (6G) mobile
communication systems characterized by ubiquitous intelligence, integrated
sensing and communication (ISAC) is in a phase of burgeoning development.
However, the capabilities of communication and sensing within single frequency
band fall short of meeting the escalating demands. To this end, this paper
introduces a carrier aggregation (CA)- enabled multi-input multi-output
orthogonal frequency division multiplexing (MIMO-OFDM) ISAC system fusing the
sensing data on high and low-frequency bands by symbol-level fusion for
ultimate communication experience and high-accuracy sensing. The challenges in
sensing signal processing introduced by CA include the initial phase
misalignment of the echo signals on high and low-frequency bands due to
attenuation and radar cross section, and the fusion of the sensing data on high
and lowfrequency bands with different physical-layer parameters. To this end,
the sensing signal processing is decomposed into two stages. In the first
stage, the problem of initial phase misalignment of the echo signals on high
and low-frequency bands is solved by the angle compensation, space-domain
diversity and vector crosscorrelation operations. In the second stage, this
paper realizes symbol-level fusion of the sensing data on high and
low-frequency bands through sensing vector rearrangement and cyclic prefix
adjustment operations, thereby obtaining high-precision sensing performance.
Then, the closed-form communication mutual information (MI) and sensing
Cramer-Rao lower bound (CRLB) for the proposed ISAC system are derived to
explore the theoretical performance bound with CA. Simulation results validate
the feasibility and superiority of the proposed ISAC system.
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