Problem
Research questions and friction points this paper is trying to address.
Massive connectivity
Energy-harvesting
Symbiotic radio
Active device detection
Quantum-Aided Active Device Detection in Energy-Harvesting Symbiotic Radio Networks
🤖 AI Summary
研究提出了一种基于能量收集和非正交多址接入的共生无线电系统，并利用Grover量子搜索算法降低主动设备检测复杂度，提高大规模物联网系统的解码可靠性。
📝 Abstract
Massive connectivity in next-generation networks demands energy- and spectrum-efficient solutions for large-scale Internet of Things (IoT) deployments. Symbiotic radio (SR) enables passive IoT devices to communicate by backscattering existing cellular transmissions. A key challenge in uplink SR is active device detection (ADD), which directly affects decoding reliability, interference management, and system throughput. We propose an energy-harvesting code-domain non-orthogonal multiple access (NOMA)-SR system in which IoT devices harvest energy from ambient uplink signals and backscatter information using low-density spreading (LDS) codes. To reduce the complexity of ADD, Grover's quantum search algorithm is employed, providing a quadratic reduction in oracle-query complexity over exhaustive maximum-likelihood (ML) search. Numerical results show that the proposed approach closely approaches ML performance while substantially reducing the number of search iterations, demonstrating its potential for scalable ambient IoT systems.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Quantum Search Algorithm
Energy Harvesting
Non-Orthogonal Multiple Access (NOMA)
Symbiotic Radio (SR)
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