Multi-Antenna Selection Using Space Shift Keying in MIMO Systems

Chung, Wei-Ho; Hung, Cheng‐Yu

doi:10.1109/vetecs.2012.6240337

Cited by 31 publications

(20 citation statements)

References 11 publications

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“…TxAS schemes conceived for MIMO systems have been studied in [8] and [9]. In particular, three AS criteria (ASCs) were proposed for space shift keying (SSK) systems in [8], which were the max-norm based AS (ASC1), maximum norm difference based AS (ASC2) and the hybrid scheme combining ASC1 and ASC2.…”

Section: A Review Of Antenna Selection Techniquesmentioning

confidence: 99%

Section: A Review Of Antenna Selection Techniquesmentioning

confidence: 99%

“…In particular, three AS criteria (ASCs) were proposed for space shift keying (SSK) systems in [8], which were the max-norm based AS (ASC1), maximum norm difference based AS (ASC2) and the hybrid scheme combining ASC1 and ASC2. The simulation results of [8] showed that AS techniques are capable of improving the performance of SSK aided MIMO systems and that interestingly, ASC1 outperformed both ASC2 and the hybrid design. Additionally, a pair of TxAS techniques were proposed in [9] for spatial modulation systems, where it was shown that the proposed capacity-optimized AS scheme outperformed the Euclidean distance optimized AS scheme.…”

Section: A Review Of Antenna Selection Techniquesmentioning

confidence: 99%

“…It has been widely recognized [8]- [15] that AS techniques are capable of significantly improving the performance of coherently detected MIMO systems based on the assumption of perfectly known channel state information (CSI), in comparison to the conventional MIMO systems equipped with the same number of RF chains. However, in practice, CSI has to be acquired.…”

Section: A Review Of Antenna Selection Techniquesmentioning

confidence: 99%

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Two-Tier Channel Estimation Aided Near-Capacity MIMO Transceivers Relying on Norm-Based Joint Transmit and Receive Antenna Selection

Zhang

Chen

Hanzo

2015

IEEE Trans. Wireless Commun.

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Abstract-We propose a norm-based joint transmit and receive antenna selection (NBJTRAS) aided near-capacity multipleinput-multiple-output (MIMO) system relying on the assistance of a novel two-tier channel estimation scheme. Specifically, a rough estimate of the full MIMO channel is first generated using a lowcomplexity, low-training-overhead minimum mean square error based channel estimator, which relies on reusing a modest number of radio frequency (RF) chains. NBJTRAS is then carried out based on this initial full MIMO channel estimate. The NBJTRAS aided MIMO system is capable of significantly outperforming conventional MIMO systems equipped with the same modest number of RF chains while dispensing with the idealized simplifying assumption of having perfectly known channel state information (CSI). Moreover, the initial subset channel estimate associated with the selected subset MIMO channel matrix is then used for activating a powerful semi-blind joint channel estimation and turbo detector-decoder, in which the channel estimate is refined by a novel block-of-bits selection based soft-decision aided channel estimator (BBSB-SDACE) embedded in the iterative detection and decoding process. The joint channel estimation and turbo detection-decoding scheme operating with the aid of the proposed BBSB-SDACE channel estimator is capable of approaching the performance of the near-capacity maximum-likelihood (ML) turbo transceiver associated with perfect CSI. This is achieved without increasing the complexity of the ML turbo detection and decoding process.Index Terms-Multiple-input-multiple-output (MIMO), nearcapacity system, joint transmit and receive antenna selection, joint channel estimation and three-stage turbo detection-decoding.

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Section: A Review Of Antenna Selection Techniquesmentioning

confidence: 99%

Section: A Review Of Antenna Selection Techniquesmentioning

confidence: 99%

Section: A Review Of Antenna Selection Techniquesmentioning

confidence: 99%

Section: A Review Of Antenna Selection Techniquesmentioning

confidence: 99%

See 2 more Smart Citations

Two-Tier Channel Estimation Aided Near-Capacity MIMO Transceivers Relying on Norm-Based Joint Transmit and Receive Antenna Selection

Zhang

Chen

Hanzo

2015

IEEE Trans. Wireless Commun.

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“…This is in contrast to conventional systems that use PSK/QAM modulation to convey information. http://jwcn.eurasipjournals.com/content/2013/1/43 Due to this, there have been several works in literature that improve the performance in the high-SNR region of those schemes through means of transmit-diversity, which can be achieved either by open or closed-loop design [11][12][13][14][15][16][17][18][19][20][21][22][23].…”

Section: General Backgroundmentioning

confidence: 99%

Adaptive generalized space shift keying

Ntontin

Renzo

Pérez-Neira

et al. 2013

J Wireless Com Network

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In this article, we propose a closed-loop precoding method for the Generalized Space Shift Keying (GSSK) modulation scheme, suitable for Multiple-Input-Single-Output (MISO) systems and denoted as adaptive GSSK (AGSSK), which achieves transmit-diversity gains in contrast to GSSK. For the case of a perfect feedback channel, we analytically show that for three and four antennas at the transmitter and rates 1 and 2 bits per channel use (bpcu), respectively, a full transmit-diversity can be achieved without reducing the achievable rate. For higher number of transmit antennas and rates, the performance of the proposed scheme degrades due to the smaller average minimum Euclidean distance as the rate increases. Due to this, we, furthermore, propose an enhancing method for AGSSK which relies on the use of time-orthogonal shaping filters for the different constellation points. For the enhanced method, named as AGSSK with time-orthogonal signal design (AGSSK-TOSD), we analytically prove that it offers transmit-diversity gains which are greater than the number of active transmit antennas for any number of transmit antennas and supported rate. This is attained without any antenna subset selection technique, which alleviates the processing burden on the terminal side. Monte Carlo simulations show that AGSSK significantly outperforms GSSK in terms of average bit error probability (ABEP) and, moreover, for medium to high rates and practical signal-to-noise ratio (SNR) regions AGSSK-TOSD outperforms well-known feedback-based multiple-antenna schemes. This advantage of AGSSK-TOSD is further substantiated with an energy effficiency comparison over the conventional schemes for a target (uncoded) ABEP.

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