{"ID":6497711,"CreatedAt":"2026-07-13T01:19:40.13847098Z","UpdatedAt":"2026-07-14T01:36:59.12045529Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2607.09331","arxiv_id":"2607.09331","title":"Tensor-based Random Access for Ambient IoT Contention Resolution","abstract":"Ambient Internet of Things (A-IoT) deployments impose stringent hardware constraints, including low-order modulations and simple transceiver architectures. We propose a tensor-based grant-free random access scheme for the initial access message (Msg1) tailored to these limitations. Each device transmits replicas of its short payload structured as a rank-1 tensor over multiple access occasions. The A-IoT receiver performs joint activity detection, channel estimation, and decoding via tensor decomposition and successive interference cancellation. Results show significant throughput gains over conventional schemes while preserving low-complexity transmitter designs.","short_abstract":"Ambient Internet of Things (A-IoT) deployments impose stringent hardware constraints, including low-order modulations and simple transceiver architectures. We propose a tensor-based grant-free random access scheme for the initial access message (Msg1) tailored to these limitations. Each device transmits replicas of its...","url_abs":"https://arxiv.org/abs/2607.09331","url_pdf":"https://arxiv.org/pdf/2607.09331v1","authors":"[\"Alberto Rech\",\"Alexis Decurninge\",\"Ala Baccar\",\"Sofiane Kharbech\"]","published":"2026-07-10T12:11:58Z","proceeding":"eess.SP","tasks":"[\"eess.SP\"]","methods":"[]","has_code":false}