Research Article
An Asynchronous Schwarz-IC Cascade MUD Detection Algorithm for Multiple Access Mobile Communication System
@INPROCEEDINGS{10.1007/978-3-030-14657-3_45, author={Weiting Gao and Haifeng Zhu and Guobing Cheng and Fei Ma and Weilun Liu}, title={An Asynchronous Schwarz-IC Cascade MUD Detection Algorithm for Multiple Access Mobile Communication System}, proceedings={IoT as a Service. 4th EAI International Conference, IoTaaS 2018, Xi’an, China, November 17--18, 2018, Proceedings}, proceedings_a={IOTAAS}, year={2019}, month={3}, keywords={Multiple access interference Successive interference cancellation Parallel interference cancellation Schwarz}, doi={10.1007/978-3-030-14657-3_45} }- Weiting Gao
Haifeng Zhu
Guobing Cheng
Fei Ma
Weilun Liu
Year: 2019
An Asynchronous Schwarz-IC Cascade MUD Detection Algorithm for Multiple Access Mobile Communication System
IOTAAS
Springer
DOI: 10.1007/978-3-030-14657-3_45
Abstract
The multi-user detection precision and interference suppression processing efficiency of single successive interference cancellation (SIC), parallel interference cancellation (PIC) algorithm and the cascade structure interference cancellation (IC) algorithm are always affected by single-stage and multi-stage detection error diffusion. This paper focuses on the detection error diffusion of multiple access communication system with strong multiple access interference (MAI) and inter symbol interference (ISI). In this paper, a Schwarz-IC (S-IC) cascade multi-user detection (MUD) algorithm based on the monotone convergence characteristics of the Schwarz algorithm, is proposed for the multiple access mobile asynchronous communication system. The Schwarz-IC algorithm can precisely control the sub-domain boundary value of the user load power in system, efficiently track the change wireless channel, avoid the single-stage or multi-stage detection error diffusion of single interference cancellation algorithm and improve the detection convergence. Simulation results show that the Schwarz-IC algorithm is of better BER performance, detection accuracy and dynamic tracking capability.
