Zeng, Qi and Liu, Zilong and Liu, Xing and Zhong, Jun and Xiao, Pei (2021) Frequency-Hopping Based SCMA for Massive Connectivity in Multi-Cell Networks. In: 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), 2021-09-27 - 2021-09-30, Norman, OK, USA.
Zeng, Qi and Liu, Zilong and Liu, Xing and Zhong, Jun and Xiao, Pei (2021) Frequency-Hopping Based SCMA for Massive Connectivity in Multi-Cell Networks. In: 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), 2021-09-27 - 2021-09-30, Norman, OK, USA.
Zeng, Qi and Liu, Zilong and Liu, Xing and Zhong, Jun and Xiao, Pei (2021) Frequency-Hopping Based SCMA for Massive Connectivity in Multi-Cell Networks. In: 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), 2021-09-27 - 2021-09-30, Norman, OK, USA.
Abstract
Sparse code multiple-access (SCMA) is an emerging technique to support massive connectivity in 5G networks and beyond. In SCMA transmissions, some resource-blocks may undergo certain contamination due to deep fading and/or jamming attacks, thus leading to severe performance degradation over such contaminated ones. Besides, the current SCMA infrastructure is normally deployed in single-cell. To deploy the SCMA into multicell networks under contaminated/jamming channels, we propose a novel frequency-hopping based SCMA (FH-SCMA) for quasi-synchronous multi-cell networks, in which the entire subcarrier-channels of every codeword keep hopping over the multiple resource-blocks according certain hopping pattern. We propose and design a pseudo-randomly orthogonal hopping pattern to adapt to the specific requirements of quasi-synchronous FH-SCMA multi-cell networks. Our analysis and simulation results indicate that the proposed FH-SCMA leads to both improved user capacity and error-rate performance, whilst remaining resilient to the inter-cell interference.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Published proceedings: _not provided_ |
Uncontrolled Keywords: | Sparse code multiple access, frequency hopping, hopping pattern design, multi-cell networks |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 05 Feb 2023 20:14 |
Last Modified: | 30 Oct 2024 16:30 |
URI: | http://repository.essex.ac.uk/id/eprint/31293 |
Available files
Filename: 0822-vtc-_FH_SCMA_NHZ_Camera_Ready.pdf