eprintid: 10195810 rev_number: 7 eprint_status: archive userid: 699 dir: disk0/10/19/58/10 datestamp: 2024-08-15 12:55:23 lastmod: 2024-08-15 12:55:23 status_changed: 2024-08-15 12:55:23 type: article metadata_visibility: show sword_depositor: 699 creators_name: Ma, Ruoyan creators_name: Tang, Jie creators_name: Zhang, Xiu Yin creators_name: Wong, Kai-Kit creators_name: Chambers, Jonathon A title: RIS-Assisted Hybrid Symbiotic Radio Network: From Practical End-to-end Model to Multi-Objective Optimization ispublished: inpress divisions: UCL divisions: B04 divisions: F46 keywords: Symbiotic radio (SR), simultaneous wireless information and power transfer (SWIPT), reconfigurable intelligent surface (RIS), and multi-objective optimization note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. abstract: A symbiotic radio (SR) network is built to address the situations of limited spectrum and energy resources. Particularly, a hybrid SR network is proposed based on simultaneous wireless information and power transfer (SWIPT). Specifically, the backscatter devices (BDs) will have the capability to provide active communications for the primary receiver (PR) with the harvested energy from SWIPT. Within the network, the BDs and primary transmitter (PT) based transmissions will achieve symbiotic status. In detail, the whole network will operate in three phases, which are assisted by a reconfigurable intelligent surface (RIS). Further, an end-to-end S-parameter based model is introduced to reveal the hardware characteristics. Under these settings, a multi-objective problem with energy efficiency (EE) and sum rate maximization is proposed. Additionally, the constraints are related to the communication demands and physical restrictions. To resolve the problem, the -constraint approach is utilized to transform it into a single-objective problem. Then the coupled variables are separated into three parts to allow an iterative solution. Specifically, an element-wise approach based on the Sherman-Morrison transformation is adopted to optimize the subproblem for RIS with the double-inverse form. Simulation results confirm the significance of the hardware features and the effectiveness of the proposed scheme. date: 2024-07-22 date_type: published publisher: Institute of Electrical and Electronics Engineers (IEEE) official_url: http://dx.doi.org/10.1109/tccn.2024.3431889 oa_status: green full_text_type: other language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 2304407 doi: 10.1109/TCCN.2024.3431889 lyricists_name: Wong, Kai-Kit lyricists_id: KWONG98 actors_name: Flynn, Bernadette actors_id: BFFLY94 actors_role: owner full_text_status: public publication: IEEE Transactions on Cognitive Communications and Networking pagerange: 1-1 issn: 2332-7731 citation: Ma, Ruoyan; Tang, Jie; Zhang, Xiu Yin; Wong, Kai-Kit; Chambers, Jonathon A; (2024) RIS-Assisted Hybrid Symbiotic Radio Network: From Practical End-to-end Model to Multi-Objective Optimization. IEEE Transactions on Cognitive Communications and Networking p. 1. 10.1109/TCCN.2024.3431889 <https://doi.org/10.1109/TCCN.2024.3431889>. (In press). Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10195810/1/RIS-Assisted_Hybrid_Symbiotic_Radio_Network_From_Practical_End-to-end_Model_to_Multi-Objective_Optimization.pdf