Message Passing Algorithm Receiver Design for RIS-Assisted Downlink MIMO-SCMA System
Source abstract
Abstract
Sparse code multiple access (SCMA) and reconfigurable intelligent surfaces (RISs) are two promising techniques in the forthcoming 6G communication networks to provide massive connectivity and enhance the spectral efficiency. To our best knowledge, the phase optimization for the reflecting elements and multi-user detection for the RIS-assisted downlink MIMO-SCMA system is still an open issue. In this way, we first formulate the RIS-assisted downlink MIMO-SCMA model with respect to the phases of the reflecting elements for the RIS. Next, a closed-form solution to these phases is found by solving the geometric median optimization. The iterative symbol detection steps are also provided for the RIS-assisted downlink MIMO-SCMA system. Simulation results illustrate that the proposed RIS-assisted downlink MIMO-SCMA system can significantly enhance the bit error ratio performance; e.g., the RIS-SCMA system with the proposed Gmedian-optimized phases can achieve a 1.5dB SNR gain as compared to the random phases with 10 reflecting elements.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Wireless Communication Technologies · Metamaterials and Metasurfaces Applications · Advanced Antenna and Metasurface Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
China Telecom Corporation Limited, Jiangsu Branch, Nanjing 210037, China
Funding
Industry–Academia–Research Collaboration Project between China Telecom and Nanjing University of Posts and Telecommunications
References (51)
Show source-provided references
1. On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds10.1109/COMST.2023.3249835 ↗
2. Twelve Scientific Challenges for 6G: Rethinking the Foundations of Communications Theory10.1109/COMST.2023.3243918 ↗
3. The Internet of Things: A survey10.1016/j.comnet.2010.05.010 ↗
4. Internet of Things for smart cities10.1109/JIOT.2014.2306328 ↗
5. Internet of mission-critical things: Human and animal classification-A device-free sensing approach10.1109/JIOT.2017.2760322 ↗
6. Client Scheduling for Multi-Server Federated Learning in Industrial IoT With Unreliable Communications10.1109/JIOT.2024.3354914 ↗
7. Survey on the internet of vehicles: Network architectures and applications10.1109/MCOMSTD.001.1900053 ↗
8. Al-Dulaimi, O.M.K., Al-Dulaimi, A.M.K., Alexandra, M.O., and Al-Dulaimi, M.K.H. (2023). Strategy for Non-Orthogonal Multiple Access and Performance in 5G and 6G Networks. Sensors, 23.10.3390/s23031705 ↗
9. Wang, D., Wu, M., He, Y., Pang, L., Xu, Q., and Zhang, R. (2022). An HAP and UAVs Collaboration Framework for Uplink Secure Rate Maximization in NOMA-Enabled IoT Networks. Remote Sens., 14.10.3390/rs14184501 ↗
10. Liu, Y., Gao, H., Cheng, H., Xia, Y., and Pei, W. (2023). Outage Performance Analysis of Improper Gaussian Signaling for Two-User Downlink NOMA Systems with Imperfect Successive Interference Cancellation. Entropy, 25.10.3390/e25081172 ↗
11. Vidal-Beltrán, S., and López-Bonilla, J.L. (2021). Improving Spectral Efficiency in the SCMA Uplink Channel. Mathematics, 9.10.3390/math9060651 ↗
12. Efficient resource allocation in SCMA-enabled device-to-device communication for 5G networks10.1109/TVT.2020.2983569 ↗
13. Sparse code multiple access for 6G wireless communication networks: Recent advances and future directions10.1109/MCOMSTD.001.2000049 ↗
14. Power-domain non-orthogonal multiple access (NOMA) in 5G systems: Potentials and challenges10.1109/COMST.2016.2621116 ↗
15. Asynchronous Multi-User Detection for Code-Domain NOMA: Expectation Propagation Over 3D Factor-Graph10.1109/TVT.2022.3187746 ↗
16. Non-orthogonal multiple access for 5G: Solutions, challenges, opportunities, and future research trends10.1109/MCOM.2015.7263349 ↗
17. Graph-based resource sharing in vehicular communication10.1109/TWC.2018.2827958 ↗
18. Higuchi, K., and Kishiyama, Y. (2013, January 2–5). Non-orthogonal access with random beamforming and intra-beam SIC for cellular MIMO downlink. Proceedings of the 2013 IEEE 78th Vehicular Technology Conference (VTC Fall), Las Vegas, NV, USA.10.1109/VTCFall.2013.6692307 ↗
19. Capacity comparison between MIMO-NOMA and MIMO-OMA with multiple users in a cluster10.1109/JSAC.2017.2725879 ↗
20. Dancing With Chains: Spaceborne Distributed Multi-User Detection Under Inter-Satellite Link Constraints10.1109/JSTSP.2025.3533115 ↗
21. Scaling up MIMO: Opportunities and challenges with very large arrays10.1109/MSP.2011.2178495 ↗
22. Massive MIMO systems with non-ideal hardware: Energy efficiency, estimation, and capacity limits10.1109/TIT.2014.2354403 ↗
23. Signal processing for MIMO-NOMA: Present and future challenges10.1109/MWC.2018.1700108 ↗
24. Robust radio resource allocation in MISO-SCMA assisted C-RAN in 5G networks10.1109/TVT.2019.2910306 ↗
25. Multi-dimensional space-time block coding aided downlink MIMO-SCMA10.1109/TVT.2019.2915351 ↗
26. Hybrid transceiver design for beamspace MIMO-NOMA in code-domain for mmwave communication using lens antenna array10.1109/JSAC.2020.3000885 ↗
27. 3D MIMO dual communications in SCMA-based secure hetnets10.1109/TVT.2020.2993904 ↗
28. Channel hardening-exploiting message passing (CHEMP) receiver in large-scale MIMO systems10.1109/JSTSP.2014.2314213 ↗
29. Comparison study between PD-NOMA and SCMA10.1109/TVT.2017.2759910 ↗
30. An error rate comparison of power domain non-orthogonal multiple access and sparse code multiple access10.1109/OJCOMS.2021.3064504 ↗
31. Low Complexity Iterative Receiver Design for Sparse Code Multiple Access10.1109/TCOMM.2016.2631468 ↗
32. A Low Complexity Sparse Code Multiple Access Detector Based on Stochastic Computing10.1109/TCSI.2017.2722692 ↗
33. Low complexity detection based on dynamic factor graph for SCMA systems10.1109/LCOMM.2017.2752745 ↗
34. Low-complexity detector in sparse code multiple access systems10.1109/LCOMM.2016.2592912 ↗
35. Xiao, J., Hu, J., and Han, K. (2019, January 9–13). Low complexity expectation propagation detection for SCMA using approximate computing. Proceedings of the 2019 IEEE Globecom Workshops (GC Wkshps), Waikoloa, HI, USA.10.1109/GLOBECOM38437.2019.9013512 ↗
36. Efficient Message Passing Receivers for Downlink MIMO-SCMA Systems10.1109/TVT.2022.3151936 ↗
37. Resource-selection based low complexity detector for uplink SCMA systems with multiple antennas10.1109/LWC.2017.2775627 ↗
38. Low-complexity sphere decoding for MIMO-SCMA systems10.1049/cmu2.12085 ↗
39. Partially active message passing receiver for MIMO-SCMA systems10.1109/LWC.2017.2767588 ↗
40. Spatial modulated multicarrier sparse code-division multiple access10.1109/TWC.2019.2947042 ↗
41. Space-time coded generalized spatial modulation for sparse code division multiple access10.1109/TWC.2021.3067376 ↗
42. Joint sparse graph detector design for downlink MIMO-SCMA systems
43. Towards smart and reconfigurable environment: Intelligent reflecting surface aided wireless network10.1109/MCOM.001.1900107 ↗
44. Holographic MIMO surfaces for 6G wireless networks: Opportunities, challenges, and trends10.1109/MWC.001.1900534 ↗
45. Outage performance and AoI minimization of HARQ-IR-RIS aided IoT networks10.1109/TCOMM.2023.3235995 ↗
46. A simple design of IRS-NOMA transmission10.1109/LCOMM.2020.2974196 ↗
47. Exploiting intelligent reflecting surfaces in NOMA networks: Joint beamforming optimization10.1109/TWC.2020.3006915 ↗
48. Resource allocation in intelligent reflecting surface assisted NOMA systems10.1109/TCOMM.2020.3016742 ↗
49. Resource allocation for multicell IRS-aidedNOMAnetworks10.1109/TWC.2021.3057232 ↗
50. Liu, C., Yu, L., Yu, X., Qian, J., Wang, Y., and Wang, Z. (2022, January 4–8). Capacity Analysis of RIS-assisted Visible Light Communication Systems with Hybrid NOMA. Proceedings of the 2022 IEEE Globecom Workshops (GC Wkshps), Rio de Janeiro, Brazil.10.1109/GCWkshps56602.2022.10008547 ↗
51. A Low Complexity Detection Algorithm for Fixed Up-Link SCMA System in Mission Critical Scenario10.1109/JIOT.2017.2696028 ↗