Please use this identifier to cite or link to this item: http://localhost:80/handle/Hannan/511277
Title: Algebraic Differential Spatial Modulation Is Capable of Approaching the Performance of Its Coherent Counterpart
Authors: Rakshith Rajashekar;Chao Xu;Naoki Ishikawa;Shinya Sugiura;K. V. S. Hari;Lajos Hanzo
Year: 2017
Publisher: IEEE
Abstract: We show that certain signal constellations invoked for classic differential encoding result in a phenomenon we term as the unbounded differential constellation size (UDCS). Various existing differential transmission schemes that suffer from this issue are identified. Then, we propose an enhanced algebraic field extension-based differential spatial modulation (AFE-DSM) scheme and its enhanced counterpart that strikes a diversityrate tradeoff (AFE-DSM-DR), both of which overcome the UDCS issue without compromising its full transmit diversity advantage. Furthermore, the proposed schemes are extended to incorporate amplitude and phase shift keying (APSK) in order to exploit all the available degrees of freedom. Additionally, we propose a pair of detection schemes specially designed for APSK-aided differential transmission schemes. Explicitly, we conceive the buffered minimum mean squared error (B-MMSE) detector and buffered maximum likelihood (B-ML) detector, which exploit the knowledge of previously detected symbols in order to further improve the detection performance. Our simulation results have shown that the proposed detectors are capable of bridging the performance gap between the conventional differential detector (CDD) and the coherent detector that has full channel state information. Specifically, when employing the proposed APSKaided AFE-DSM scheme operating at a rate of 2 b per channel use, the B-MMSE and B-ML detectors are observed to give about 3and 3.5-dB signal-to-noise ratio gain with respect to their CDD counterpart at a bit error ratio of 10<sup>-5</sup>.
URI: http://dl.kums.ac.ir/handle/Hannan/511277
volume: 65
issue: 10
More Information: 4260,
4273
Appears in Collections:2017

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Title: Algebraic Differential Spatial Modulation Is Capable of Approaching the Performance of Its Coherent Counterpart
Authors: Rakshith Rajashekar;Chao Xu;Naoki Ishikawa;Shinya Sugiura;K. V. S. Hari;Lajos Hanzo
Year: 2017
Publisher: IEEE
Abstract: We show that certain signal constellations invoked for classic differential encoding result in a phenomenon we term as the unbounded differential constellation size (UDCS). Various existing differential transmission schemes that suffer from this issue are identified. Then, we propose an enhanced algebraic field extension-based differential spatial modulation (AFE-DSM) scheme and its enhanced counterpart that strikes a diversityrate tradeoff (AFE-DSM-DR), both of which overcome the UDCS issue without compromising its full transmit diversity advantage. Furthermore, the proposed schemes are extended to incorporate amplitude and phase shift keying (APSK) in order to exploit all the available degrees of freedom. Additionally, we propose a pair of detection schemes specially designed for APSK-aided differential transmission schemes. Explicitly, we conceive the buffered minimum mean squared error (B-MMSE) detector and buffered maximum likelihood (B-ML) detector, which exploit the knowledge of previously detected symbols in order to further improve the detection performance. Our simulation results have shown that the proposed detectors are capable of bridging the performance gap between the conventional differential detector (CDD) and the coherent detector that has full channel state information. Specifically, when employing the proposed APSKaided AFE-DSM scheme operating at a rate of 2 b per channel use, the B-MMSE and B-ML detectors are observed to give about 3and 3.5-dB signal-to-noise ratio gain with respect to their CDD counterpart at a bit error ratio of 10<sup>-5</sup>.
URI: http://dl.kums.ac.ir/handle/Hannan/511277
volume: 65
issue: 10
More Information: 4260,
4273
Appears in Collections:2017

Files in This Item:
File Description SizeFormat 
7959186.pdf2.14 MBAdobe PDFThumbnail
Preview File
Title: Algebraic Differential Spatial Modulation Is Capable of Approaching the Performance of Its Coherent Counterpart
Authors: Rakshith Rajashekar;Chao Xu;Naoki Ishikawa;Shinya Sugiura;K. V. S. Hari;Lajos Hanzo
Year: 2017
Publisher: IEEE
Abstract: We show that certain signal constellations invoked for classic differential encoding result in a phenomenon we term as the unbounded differential constellation size (UDCS). Various existing differential transmission schemes that suffer from this issue are identified. Then, we propose an enhanced algebraic field extension-based differential spatial modulation (AFE-DSM) scheme and its enhanced counterpart that strikes a diversityrate tradeoff (AFE-DSM-DR), both of which overcome the UDCS issue without compromising its full transmit diversity advantage. Furthermore, the proposed schemes are extended to incorporate amplitude and phase shift keying (APSK) in order to exploit all the available degrees of freedom. Additionally, we propose a pair of detection schemes specially designed for APSK-aided differential transmission schemes. Explicitly, we conceive the buffered minimum mean squared error (B-MMSE) detector and buffered maximum likelihood (B-ML) detector, which exploit the knowledge of previously detected symbols in order to further improve the detection performance. Our simulation results have shown that the proposed detectors are capable of bridging the performance gap between the conventional differential detector (CDD) and the coherent detector that has full channel state information. Specifically, when employing the proposed APSKaided AFE-DSM scheme operating at a rate of 2 b per channel use, the B-MMSE and B-ML detectors are observed to give about 3and 3.5-dB signal-to-noise ratio gain with respect to their CDD counterpart at a bit error ratio of 10<sup>-5</sup>.
URI: http://dl.kums.ac.ir/handle/Hannan/511277
volume: 65
issue: 10
More Information: 4260,
4273
Appears in Collections:2017

Files in This Item:
File Description SizeFormat 
7959186.pdf2.14 MBAdobe PDFThumbnail
Preview File