Title :
Lattice sphere multiuser detection via compressive sensing
Author :
Albreem, Mahmoud A M ; Salleh, M.F.M.
Author_Institution :
Sch. of Electr. & Electron. Eng., Univ. Sains Malaysia (USM), Nibong Tebal, Malaysia
Abstract :
This paper presents a multiuser detection technique using compressive sensing (CS) where the entries data entries of finite-alphabet signals are considered as sparse data. Thus the proposed system is underdetermined, which pave the way for the usage of lattice sphere decoding (LSD) technique. In order to demonstrate the effectiveness of the proposed method, it is tested at different sparsity levels. We show that the proposed method provides substantial performance gain over the previous work.
Keywords :
compressed sensing; decoding; multiuser detection; CS; LSD technique; compressive sensing; data entries; finite-alphabet signals; lattice sphere decoding technique; multiuser detection technique; performance gain; sparse data; sparsity levels; Compressed sensing; Decoding; Dictionaries; Lattices; Matrix decomposition; Multiuser detection; Vectors; Multiuser detection; compressive sensing; sparse signals; sphere detection;
Conference_Titel :
Communications (APCC), 2012 18th Asia-Pacific Conference on
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4673-4726-6
Electronic_ISBN :
978-1-4673-4727-3
DOI :
10.1109/APCC.2012.6388173