Differential space-time coding dispensing with channel-estimation approaches the performance of its coherent counterpart in the open-loop massive MIMO-OFDM downlink
Differential space-time coding dispensing with channel-estimation approaches the performance of its coherent counterpart in the open-loop massive MIMO-OFDM downlink
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.
Ishikawa, Naoki
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Rajashekar, Rakshith
d2fbbb04-57c5-4165-908f-600fc1fbdeab
Xu, Chao
5710a067-6320-4f5a-8689-7881f6c46252
Sugiura, Shinya
acb6e7ea-eb0c-4b33-82c6-da8640be4233
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Ishikawa, Naoki
7330750b-e4bc-4f46-b500-e190264b2af6
Rajashekar, Rakshith
d2fbbb04-57c5-4165-908f-600fc1fbdeab
Xu, Chao
5710a067-6320-4f5a-8689-7881f6c46252
Sugiura, Shinya
acb6e7ea-eb0c-4b33-82c6-da8640be4233
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Ishikawa, Naoki, Rajashekar, Rakshith, Xu, Chao, Sugiura, Shinya and Hanzo, Lajos
(2018)
Differential space-time coding dispensing with channel-estimation approaches the performance of its coherent counterpart in the open-loop massive MIMO-OFDM downlink.
IEEE Transactions on Communications.
(doi:10.1109/TCOMM.2018.2867528).
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.
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Accepted/In Press date: 22 August 2018
e-pub ahead of print date: 28 August 2018
Identifiers
Local EPrints ID: 423228
URI: http://eprints.soton.ac.uk/id/eprint/423228
ISSN: 0090-6778
PURE UUID: 5bd3c4ac-d06a-4436-895f-09166de4db09
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Date deposited: 19 Sep 2018 16:30
Last modified: 18 Mar 2024 03:17
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Contributors
Author:
Naoki Ishikawa
Author:
Rakshith Rajashekar
Author:
Chao Xu
Author:
Shinya Sugiura
Author:
Lajos Hanzo
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