Near-Field Multi-Cell ISCAP with Extremely Large-Scale Antenna Array
Yuan Guo, Yilong Chen, Zixiang Ren, Derrick Wing Kwan Ng, Jie Xu

TL;DR
This paper explores a multi-cell near-field system using extremely large-scale antenna arrays to simultaneously support sensing, communication, and wireless power transfer, addressing complex design challenges with robust optimization and practical schemes.
Contribution
It introduces a novel robust beamforming optimization framework for near-field multi-cell ISCAP systems with ELAA, including a convex relaxation approach and a low-complexity MRT scheme.
Findings
Trade-offs among sensing, communication, and WPT are characterized.
The proposed methods achieve near-optimal detection and energy transfer performance.
The asymptotic MRT scheme simplifies implementation with large antenna arrays.
Abstract
This paper investigates a coordinated multi-cell integrated sensing, communication, and powering (ISCAP) system operating in the electromagnetic near field, where each base station (BS) employs an extremely large-scale antenna array (ELAA) to simultaneously support downlink communication, wireless power transfer (WPT), and environmental sensing. Three categories of communication users (CUs) with different interference cancellation capabilities are considered, and sensing is enabled through a distributed multiple-input multiple-output (MIMO) radar architecture. To address the resulting design challenges, a robust optimization framework is proposed by optimizing the beamforming strategy to maximize the worst-case detection probability over a prescribed sensing region, subject to per-user signal-to-interference-plus-noise ratio (SINR) constraints and energy harvesting requirements at…
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Taxonomy
TopicsEnergy Harvesting in Wireless Networks · Radar Systems and Signal Processing · Distributed Sensor Networks and Detection Algorithms
