Title :
Minimization Based Symbol Detection for Generalized Space Shift Keying
Author :
Longzhuang He ; Jintao Wang ; Wenbo Ding ; Jian Song
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Abstract :
Generalized space shift keying (GSSK), as one simplified version of spatial modulation (SM), has attracted plenty of interest in the study of large-scale multiple-input multiple-output (MIMO). In this letter, we propose a low-complexity symbol detector for GSSK based on ℓ∞ minimization. Via a bijective transformation, the symbol detection for GSSK can be converted into the reconstruction of a binary symbol, of which the entries are selected from {-1, 1}. The reconstruction is done by solving an ℓ∞ minimization problem, which is convex and can be solved by many off-the-shelf optimization tools. The new detection scheme is capable of detecting GSSK symbols under overdetermined and underdetermined MIMO systems and only requires a polynomial complexity. Numerical simulations are further performed to substantiate the performance of the proposed detector.
Keywords :
MIMO communication; minimisation; modulation; ℓ∞ minimization based symbol detection problem; GSSK symbols; bijective transformation; generalized space shift keying; large-scale multiple-input multiple-output system; low-complexity symbol detector; polynomial complexity; spatial modulation; Computational complexity; Detectors; MIMO; Minimization; Modulation; Signal to noise ratio; $ell_infty$ minimization; ℓ∞ minimization; Multiple-input multiple-output (MIMO); convex optimization; generalized space shift keying (GSSK); spatial modulation (SM);
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2015.2428240