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