Integrated Sensing, Communication, and Powering over Multi-antenna OFDM Systems
Yilong Chen, Chao Hu, Zixiang Ren, Han Hu, Jie Xu, Lexi Xu, Lei Liu,, and Shuguang Cui

TL;DR
This paper proposes a multi-antenna OFDM system that integrates sensing, communication, and powering, optimizing beamforming and resource allocation to enhance performance across all functions.
Contribution
It introduces a joint beamforming and resource scheduling framework for ISCAP systems, with efficient algorithms and heuristics to improve sensing, communication, and energy transfer.
Findings
Proposed algorithms outperform heuristic designs in simulations.
Optimized beamforming reduces beampattern matching error.
System effectively balances sensing, communication, and powering requirements.
Abstract
This paper considers a multi-functional orthogonal frequency division multiplexing (OFDM) system with integrated sensing, communication, and powering (ISCAP), in which a multi-antenna base station (BS) transmits OFDM signals to simultaneously deliver information to multiple information receivers (IRs), provide energy supply to multiple energy receivers (ERs), and sense potential targets based on the echo signals. To facilitate ISCAP, the BS employs the joint transmit beamforming design by sending dedicated sensing/energy beams jointly with information beams. Furthermore, we consider the beam scanning for sensing, in which the joint beams scan in different directions over time to sense potential targets. In order to ensure the sensing beam scanning performance and meet the communication and powering requirements, it is essential to properly schedule IRs and ERs and design the resource…
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Taxonomy
TopicsEnergy Harvesting in Wireless Networks · Advanced Wireless Communication Technologies · Cooperative Communication and Network Coding
MethodsBalanced Selection
