Wu, Y;
Zhou, F;
Wu, W;
Wu, Q;
Hu, RQ;
Wong, KK;
(2022)
Spectrum and Energy Efficiency Tradeoff in IRS-Assisted CRNs with NOMA: A Multi-Objective Optimization Framework.
In:
ICC 2022 - IEEE International Conference on Communications.
(pp. pp. 3930-3935).
IEEE: Seoul, Republic of Korea.
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Abstract
Non-orthogonal multiple access (NOMA) is a promising candidate for the sixth generation wireless communication networks due to its high spectrum efficiency (SE), energy efficiency (EE), and better connectivity. It can be applied in cognitive radio networks (CRNs) to further improve SE and user connectivity. However, the interference caused by spectrum sharing and the utilization of non-orthogonal resources can downgrade the achievable performance. In order to tackle this issue, intelligent reflecting surface (IRS) is exploited in a downlink multiple-input-single-output (MISO) CRN with NO-MA. To realize a desirable tradeoff between SE and EE, a multi-objective optimization (MOO) framework is formulated. An iterative block coordinate descent (BCD)-based algorithm is exploited to optimize the beamforming design and IRS reflection coefficients iteratively. Simulation results demonstrate that the proposed scheme can achieve a better balance between SE and EE than baseline schemes.
| Type: | Proceedings paper |
|---|---|
| Title: | Spectrum and Energy Efficiency Tradeoff in IRS-Assisted CRNs with NOMA: A Multi-Objective Optimization Framework |
| Event: | ICC 2022 - IEEE International Conference on Communications |
| Dates: | 16 May 2022 - 20 May 2022 |
| ISBN-13: | 9781538683477 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/ICC45855.2022.9838851 |
| Publisher version: | https://doi.org/10.1109/ICC45855.2022.9838851 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Intelligent reflecting surface, cognitive radio, non-orthogonal multiple access, spectral efficiency, energy efficiency, multi-objective optimization, block coordinate descent |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10156396 |
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