Subcarrier subset selection aided transmit precoding achieves full-diversity in Index Modulation
Subcarrier subset selection aided transmit precoding achieves full-diversity in Index Modulation
Index modulation (IM) is a recently proposed multi-carrier transmission scheme, which conveys information both by conventional symbols as well as by the specific subcarrier activation patterns conveying them. However, an impediment of IM is that it lacks transmit diversity gain. In this paper, we circumvent this limitation by proposing a limited-feedback assisted IM transmission scheme. Specifically, Euclidean distance based subcarrier subset selection (ED-SSS) is proposed and its attainable transmit diversity order is shown to be $N_c-N_{IM}+1$, where $N_c$ is the total number of subcarriers in an IM block and $N_{IM}$ is the number of subcarriers used for IM. Furthermore, the ED-SSS is shown to be amenable to low-complexity implementation owing to the orthogonality of its subcarriers. In order to attain the maximum transmit diversity order of $N_c$, ED-SSS is further extended with the aid of transmit precoding and its transmit diversity order is quantified. The proposed precoding assisted ED-SSS is shown to subsume several of the existing precoding aided IM transmission schemes. Simulation studies are conducted for validating our theoretical claims and also for quantifying the attainable performance gains of the proposed schemes. Specifically, at a BER of $10^{-3}$ an SNR gain as high as 8dB is observed in case of precoding when compared to its counterpart operating without precoding.
1-11
Mysore rajashekar, Rakshith
d2fbbb04-57c5-4165-908f-600fc1fbdeab
Xu, Chao
5710a067-6320-4f5a-8689-7881f6c46252
Ishikawa, Naoki
7330750b-e4bc-4f46-b500-e190264b2af6
Yang, Lieliang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Mysore rajashekar, Rakshith
d2fbbb04-57c5-4165-908f-600fc1fbdeab
Xu, Chao
5710a067-6320-4f5a-8689-7881f6c46252
Ishikawa, Naoki
7330750b-e4bc-4f46-b500-e190264b2af6
Yang, Lieliang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Mysore rajashekar, Rakshith, Xu, Chao, Ishikawa, Naoki, Yang, Lieliang and Hanzo, Lajos
(2019)
Subcarrier subset selection aided transmit precoding achieves full-diversity in Index Modulation.
IEEE Transactions on Vehicular Technology, .
(doi:10.1109/TVT.2019.2942634).
Abstract
Index modulation (IM) is a recently proposed multi-carrier transmission scheme, which conveys information both by conventional symbols as well as by the specific subcarrier activation patterns conveying them. However, an impediment of IM is that it lacks transmit diversity gain. In this paper, we circumvent this limitation by proposing a limited-feedback assisted IM transmission scheme. Specifically, Euclidean distance based subcarrier subset selection (ED-SSS) is proposed and its attainable transmit diversity order is shown to be $N_c-N_{IM}+1$, where $N_c$ is the total number of subcarriers in an IM block and $N_{IM}$ is the number of subcarriers used for IM. Furthermore, the ED-SSS is shown to be amenable to low-complexity implementation owing to the orthogonality of its subcarriers. In order to attain the maximum transmit diversity order of $N_c$, ED-SSS is further extended with the aid of transmit precoding and its transmit diversity order is quantified. The proposed precoding assisted ED-SSS is shown to subsume several of the existing precoding aided IM transmission schemes. Simulation studies are conducted for validating our theoretical claims and also for quantifying the attainable performance gains of the proposed schemes. Specifically, at a BER of $10^{-3}$ an SNR gain as high as 8dB is observed in case of precoding when compared to its counterpart operating without precoding.
Text
OFDM_IM_SSS_TVT_two_col_v2
- Accepted Manuscript
More information
Accepted/In Press date: 17 September 2019
e-pub ahead of print date: 20 September 2019
Identifiers
Local EPrints ID: 434425
URI: http://eprints.soton.ac.uk/id/eprint/434425
ISSN: 0018-9545
PURE UUID: e449b787-892d-4b1c-a021-d9c93058bc70
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Date deposited: 23 Sep 2019 16:30
Last modified: 18 Mar 2024 03:17
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