Huang, Zhen-Ming and Hsu, Po-Chih and Liu, Zilong and Chen, Chao-Yu (2026) A Novel Design of Sparse Vector Coding Aided URLLC With Periodic Quasi-Complementary Pairs. In: 2026 IEEE Conference on Communications (ICC’2026), 2026-05-24 - 2026-05-28, Glasgow. (In Press)
Huang, Zhen-Ming and Hsu, Po-Chih and Liu, Zilong and Chen, Chao-Yu (2026) A Novel Design of Sparse Vector Coding Aided URLLC With Periodic Quasi-Complementary Pairs. In: 2026 IEEE Conference on Communications (ICC’2026), 2026-05-24 - 2026-05-28, Glasgow. (In Press)
Huang, Zhen-Ming and Hsu, Po-Chih and Liu, Zilong and Chen, Chao-Yu (2026) A Novel Design of Sparse Vector Coding Aided URLLC With Periodic Quasi-Complementary Pairs. In: 2026 IEEE Conference on Communications (ICC’2026), 2026-05-24 - 2026-05-28, Glasgow. (In Press)
Abstract
Recently, sparse vector coding (SVC) has emerged as a promising coding scheme for short-packet transmission in ultra-reliable and low-latency communications (URLLCs). The encoding and decoding of SVC are jointly formulated as a standard compressed sensing (CS) problem, in which a codebook with low mutual coherence is required to achieve reliable decoding performance. In this paper, we propose the concept of periodic quasi-complementary pairs (PQCPs), based on which we present a novel design of a deterministic spreading matrix with low mutual coherence for efficient SVC encoding. Furthermore, a modified multipath matching pursuit (MMP) decoder for the proposed SVC scheme is developed. Simulation results demonstrate that the proposed designs significantly improve the block error rate (BLER) performance of SVC compared with existing approaches.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Published proceedings: _not provided_ |
| Uncontrolled Keywords: | Sparse vector coding (SVC), periodic quasicomplementary pair (PQCP), error correcting code, short packet transmission, ultra-reliable low-latency communications (URLLC) |
| Subjects: | Z Bibliography. Library Science. Information Resources > ZR Rights Retention |
| 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: | 03 Mar 2026 16:10 |
| Last Modified: | 03 Mar 2026 16:10 |
| URI: | http://repository.essex.ac.uk/id/eprint/42886 |
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