eprintid: 10173142 rev_number: 9 eprint_status: archive userid: 699 dir: disk0/10/17/31/42 datestamp: 2023-07-11 10:44:44 lastmod: 2024-03-25 14:16:28 status_changed: 2023-07-11 10:44:44 type: article metadata_visibility: show sword_depositor: 699 creators_name: Liu, Lu creators_name: Masouros, Christos creators_name: Swindlehurst, A Lee title: Robust Symbol Level Precoding for Overlay Cognitive Radio Networks ispublished: pub divisions: UCL divisions: B04 divisions: C05 divisions: F46 keywords: Cognitive radio, symbol-level precoding, constructive interference, robust precoding, quantization note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. abstract: This paper focuses on designing robust symbol-level precoding (SLP) in an overlay cognitive radio (CR) network, where the primary and secondary networks transmit signals concurrently. When the primary base station (PBS) shares data and perfect channel state information (CSI) with the cognitive base station (CBS), we derive an SLP approach that minimizes the CR transmission power and satisfies symbol-wise Safety Margin (SM) constraints of both primary users (PUs) and cognitive users (CUs). The resulting optimization has a quadratic objective and linear inequality (LI) constraints, which can be solved by standard convex methods. For the case of imperfect CSI from the PBS, we propose robust SLP schemes. First, with a norm-bounded CSI error model to approximate the uncertain channels, we adopt a max-min philosophy to conservatively achieve robust SLP constraints. Second, we use the additive quantization noise model (AQNM) to describe the quantized PBS CSI and employ a stochastic constraint to formulate the problem. Both robust approaches also result in a quadratic objective with LI constraints. Simulation results show that, rather than simply trying to eliminate the network’s cross-interference, the proposed robust SLP schemes enable the primary and secondary networks to aid each other in meeting their quality of service constraints. date: 2024-02 date_type: published publisher: Institute of Electrical and Electronics Engineers (IEEE) official_url: https://doi.org/10.1109/twc.2023.3289190 oa_status: green full_text_type: other language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 2035704 doi: 10.1109/twc.2023.3289190 lyricists_name: Masouros, Christos lyricists_id: CMASO14 actors_name: Flynn, Bernadette actors_id: BFFLY94 actors_role: owner full_text_status: public publication: IEEE Transactions on Wireless Communications volume: 23 number: 2 pagerange: 1403-1415 issn: 1536-1276 citation: Liu, Lu; Masouros, Christos; Swindlehurst, A Lee; (2024) Robust Symbol Level Precoding for Overlay Cognitive Radio Networks. IEEE Transactions on Wireless Communications , 23 (2) pp. 1403-1415. 10.1109/twc.2023.3289190 <https://doi.org/10.1109/twc.2023.3289190>. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10173142/1/Robust_Symbol_Level_Precoding_for_Overlay_Cognitive_Radio_Networks.pdf