{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:12:45Z","timestamp":1753884765164,"version":"3.41.2"},"reference-count":21,"publisher":"World Scientific Pub Co Pte Ltd","issue":"01","funder":[{"name":"Shangluo University Research","award":["21FK004"],"award-info":[{"award-number":["21FK004"]}]},{"name":"Shangluo University Science and Technology Innovation Team","award":["18SCX004"],"award-info":[{"award-number":["18SCX004"]}]},{"name":"Shangluo City Science and Technology Development Plan","award":["2023-G-0029"],"award-info":[{"award-number":["2023-G-0029"]}]},{"name":"Scientific Research Project of Shaanxi Provincial Education Department","award":["22JK0363"],"award-info":[{"award-number":["22JK0363"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:p> In the visible light communication (VLC) system, adaptive symbol decomposition technology is one of the methods to reduce peak-to-average power ratio (PAPR) and suppress LED nonlinear distortion. However, at high symbol variances, there still exists a high PAPR, leading to a higher number of decomposed symbols, which in turn reduces the information rate and increases the bit error rate (BER) performance. Therefore, a combined approach of adaptive modulation, adaptive symbol decomposition serial transmission (ASDST), and space\u2013time block code and orthogonal cyclic matrix transform (STBC-OCT) coding is proposed. The characteristics of PAPR, symbol decomposition and BER under different approaches through Monte Carlo simulation were analyzed. The simulation results show that when using 4-Quadrate Amplitude Modulation (4QAM) modulation and CCDF=[Formula: see text], the STBC-OCT-ASDST scheme gains a 5[Formula: see text]dB improvement compared to ASDST alone. At a BER of [Formula: see text], STBC-OCT-ASDST achieves a 10[Formula: see text]dBm gain in symbol variance compared to ASDST. Moreover, when the symbol variance of STBC-OCT-ASDST is less than 34[Formula: see text]dBm, the BER remains below the 7% threshold of forward error correction (FEC) error rate. <\/jats:p>","DOI":"10.1142\/s0218001424580072","type":"journal-article","created":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T02:31:49Z","timestamp":1729132309000},"source":"Crossref","is-referenced-by-count":0,"title":["Performance Improvement in MIMO-OFDM VLC Systems Through Combined Adaptive Modulation and Coding with Symbol Decomposition"],"prefix":"10.1142","volume":"39","author":[{"given":"Na","family":"Zhang","sequence":"first","affiliation":[{"name":"Artificial Intelligence Research Center, Shangluo University, Shangluo, Shanxi 726000, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"JianQiang","family":"He","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Research Center, Shangluo University, Shangluo, Shanxi 726000, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiao","family":"Liu","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Research Center, Shangluo University, Shangluo, Shanxi 726000, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"YuanYuan","family":"Wang","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Research Center, Shangluo University, Shangluo, Shanxi 726000, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2025,1,21]]},"reference":[{"key":"S0218001424580072BIB001","doi-asserted-by":"publisher","DOI":"10.1016\/j.optcom.2019.02.008"},{"key":"S0218001424580072BIB002","first-page":"125993","volume":"473","author":"Chen M.","year":"2020","journal-title":"Optics"},{"key":"S0218001424580072BIB003","doi-asserted-by":"publisher","DOI":"10.1364\/AO.386587"},{"key":"S0218001424580072BIB004","first-page":"5173285","volume":"2018","author":"Guo X.","year":"2018","journal-title":"Adv. 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