A SIC and ML approach for MIMO non-orthogonal multiple access signal detection
One of the top candidates for an enhanced radio architecture is Optical Non-Orthogonal Multiple Access (O-NOMA), which is based on Multiple inputs and Multiple Outputs (MIMO). The identification of signals at the receiver terminal is more difficult due to the employment of a lot of antennas. For the...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-02-01
|
| Series: | Results in Optics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666950125000203 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832087293264920576 |
|---|---|
| author | Arun Kumar Nishant Gaur Aziz Nanthaamornphong |
| author_facet | Arun Kumar Nishant Gaur Aziz Nanthaamornphong |
| author_sort | Arun Kumar |
| collection | DOAJ |
| description | One of the top candidates for an enhanced radio architecture is Optical Non-Orthogonal Multiple Access (O-NOMA), which is based on Multiple inputs and Multiple Outputs (MIMO). The identification of signals at the receiver terminal is more difficult due to the employment of a lot of antennas. For the identification of signals in the 8 × 8, 16 × 16, 64 × 64 and 256 × 256 O-NOMA frameworks, we provide a Maximum Likelihood (ML) and Successive Interference cancellation (SIC) method in this paper. Additionally, the suggested algorithms are compared with traditional ML, SIC, Zero Forcing (ZF), and Minimum Mean Square Error (MMSE) approaches, and rigorous estimations are made of metrics like Bit Error Rate (BER) and Power Spectral Density (PSD). The outcomes of the simulation show that the suggested SIC and ML outperform the traditional methods. It should be added that the 64 × 64 O-NOMA effectively increased the structure’s throughput and spectral efficiency. |
| format | Article |
| id | doaj-art-06921529b33140f4be833b1f82e6ac42 |
| institution | Kabale University |
| issn | 2666-9501 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Optics |
| spelling | doaj-art-06921529b33140f4be833b1f82e6ac422025-02-06T05:12:58ZengElsevierResults in Optics2666-95012025-02-0118100792A SIC and ML approach for MIMO non-orthogonal multiple access signal detectionArun Kumar0Nishant Gaur1Aziz Nanthaamornphong2Department of Electronics and Communication Engineering, New Horizon College of Engineering, Bengaluru, India; Corresponding authors.Department of Physics, JECRC University, Jaipur, IndiaCollege of Computing, Prince of Songkla University, Phuket, Thailand; Corresponding authors.One of the top candidates for an enhanced radio architecture is Optical Non-Orthogonal Multiple Access (O-NOMA), which is based on Multiple inputs and Multiple Outputs (MIMO). The identification of signals at the receiver terminal is more difficult due to the employment of a lot of antennas. For the identification of signals in the 8 × 8, 16 × 16, 64 × 64 and 256 × 256 O-NOMA frameworks, we provide a Maximum Likelihood (ML) and Successive Interference cancellation (SIC) method in this paper. Additionally, the suggested algorithms are compared with traditional ML, SIC, Zero Forcing (ZF), and Minimum Mean Square Error (MMSE) approaches, and rigorous estimations are made of metrics like Bit Error Rate (BER) and Power Spectral Density (PSD). The outcomes of the simulation show that the suggested SIC and ML outperform the traditional methods. It should be added that the 64 × 64 O-NOMA effectively increased the structure’s throughput and spectral efficiency.http://www.sciencedirect.com/science/article/pii/S2666950125000203Optical-NOMAMLSICBERPSD |
| spellingShingle | Arun Kumar Nishant Gaur Aziz Nanthaamornphong A SIC and ML approach for MIMO non-orthogonal multiple access signal detection Results in Optics Optical-NOMA ML SIC BER PSD |
| title | A SIC and ML approach for MIMO non-orthogonal multiple access signal detection |
| title_full | A SIC and ML approach for MIMO non-orthogonal multiple access signal detection |
| title_fullStr | A SIC and ML approach for MIMO non-orthogonal multiple access signal detection |
| title_full_unstemmed | A SIC and ML approach for MIMO non-orthogonal multiple access signal detection |
| title_short | A SIC and ML approach for MIMO non-orthogonal multiple access signal detection |
| title_sort | sic and ml approach for mimo non orthogonal multiple access signal detection |
| topic | Optical-NOMA ML SIC BER PSD |
| url | http://www.sciencedirect.com/science/article/pii/S2666950125000203 |
| work_keys_str_mv | AT arunkumar asicandmlapproachformimononorthogonalmultipleaccesssignaldetection AT nishantgaur asicandmlapproachformimononorthogonalmultipleaccesssignaldetection AT aziznanthaamornphong asicandmlapproachformimononorthogonalmultipleaccesssignaldetection AT arunkumar sicandmlapproachformimononorthogonalmultipleaccesssignaldetection AT nishantgaur sicandmlapproachformimononorthogonalmultipleaccesssignaldetection AT aziznanthaamornphong sicandmlapproachformimononorthogonalmultipleaccesssignaldetection |