Abstract
Space shift keying (SSK) modulation and its extension, the generalized SSK (GSSK), present an attractive framework for the emerging large-scale MIMO systems in reducing hardware costs. In SSK, the maximum likelihood (ML) detector incurs considerable computational complexities. We propose a compressed sensing based detector, NCS, by formulating the SSK-type detection criterion as a convex optimization problem. The proposed NCS requires only O(n tN rN t) complexity, outperforming the O(N rN tN nt t}) complexity in the ML detector, at the cost of slight fidelity degradation. Simulations are conducted to substantiate the analytical derivation and the detection accuracy.
Original language | English |
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Article number | 6307787 |
Pages (from-to) | 1556-1559 |
Number of pages | 4 |
Journal | IEEE Communications Letters |
Volume | 16 |
Issue number | 10 |
DOIs | |
State | Published - 2012 |
Keywords
- compressed sensing
- Detector
- MIMO
- space shift keying