READ ME File For 'Differential Space-Time Coding Dispensing with Channel-Estimation Approaches the Performance of Its Coherent Counterpart in the Open-Loop Massive MIMO-OFDM Downlink'

Dataset DOI: 10.5258/SOTON/D06038

ReadMe Author: Ishikawa, Naoki, Network Science Laboratory, Hiroshima City University

Dataset for the paper:

Naoki Ishikawa, Rakshith Rajashekar, Chao Xu, Shinya Sugiura, and Lajos Hanzo

IEEE Transactions on Communications
DOI: xxxxxxxxxx

Abstract: 
In this paper, we propose a simple yet powerful mapping scheme that converts any conventional square-matrix-based differential space-time coding (DSTC) into a nonsquare-matrix-based DSTC. This allows DSTC schemes to be used practically in open-loop large-scale multiple-input multiple-output scenarios. Our proposed scheme may be viewed as the differential counterpart of coherent spatial modulation (SM), of the generalized SM, of Bell laboratories layered space-time architecture, and of subcarrier-index modulation. The fundamental impediment of the existing DSTC schemes is the excessive complexity imposed by the unitary constraint. Specifically, the transmission rate of conventional DSTC schemes decays as the number of transmit antennas increases. Our proposed scheme eliminates this impediment and thus achieves a significantly higher transmission rate. We introduce four novel construction methods for the nonsquare codewords, some of which include an arbitrary number of nonzero elements in each codeword column. Our analysis shows that the proposed encoding technique reduces the complexity of both the inverse Fourier transform and of the detection processes. Our proposed scheme is shown to approach the performance of its coherent counterpart for low-mobility scenarios, where the number of transmit antennas is increased up to 256.

Acknowledgements: The work of N. Ishikawa was supported in part by the Japan Society for the Promotion of Science (JSPS) KAKENHI under Grant 17H07036. The work of S. Sugiura was supported in part by the JSPS KAKENHI under Grants 26709028 and 16KK0120. The financial support of the EPSRC projects EP/P034284/1, EP/N004558/1 and EP/L018659/1, as well as of the ERC's Advanced Fellow Award QuantCom is gratefully acknowledged. 

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	paper-txvssnr.pdf
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	paper-ber-m16n1r1-diversity.pdf
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	paper-dcmc-small.pdf
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	paper-ber-m4n4r4-FdTs3.pdf
	paper-ber-m4n4r4-FdTs2.pdf
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	paper-ber-m64n4r8-cfo.pdf
	paper-ber-m256n4r10-cfo.pdf	

Dataset available under a CC BY 4.0 licence. 

Publisher: University of Southampton, U.K.

Date: September 2018