Details

Autor(en) / Beteiligte

• Kim, Jihyung
• Kim, Junghyun
• Lee, Moon‐Sik

Titel

Enhanced deep soft interference cancellation for multiuser symbol detection

Ist Teil von

• ETRI Journal, 2023, 45(6), , pp.929-938

Ort / Verlag

Electronics and Telecommunications Research Institute (ETRI)

Erscheinungsjahr

2023

Link zum Volltext

Quelle

EZB Free E-Journals

Beschreibungen/Notizen

• The detection of all the symbols transmitted simultaneously in multiuser systems using limited wireless resources is challenging. Traditional model‐based methods show high performance with perfect channel state information (CSI); however, severe performance degradation will occur if perfect CSI cannot be acquired. In contrast, data‐driven methods perform slightly worse than model‐based methods in terms of symbol error ratio performance in perfect CSI states; however, they are also able to overcome extreme performance degradation in imperfect CSI states. This study proposes a novel deep learning‐based method by improving a state‐of‐the‐art data‐driven technique called deep soft interference cancellation (DSIC). The enhanced DSIC (EDSIC) method detects multiuser symbols in a fully sequential manner and uses an efficient neural network structure to ensure high performance. Additionally, error‐propagation mitigation techniques are used to ensure robustness against channel uncertainty. The EDSIC guarantees a performance that is very close to the optimal performance of the existing model‐based methods in perfect CSI environments and the best performance in imperfect CSI environments. Multiuser multi‐input multi‐output systems require simultaneous detection of multiuser signals in environments with interference and imperfect channel state information (CSI). However, existing algorithms suffer from high complexity or performance degradation with imperfect CSI. Recently, researchers from Korea have developed a novel deep learning method that increases the performance and efficiency of wireless systems and shows no degradation under imperfect CSI conditions. This new technique can make large‐scale wireless systems more efficient and seamless.