Pachat, J and Deepthi, PP and Rajan, BS (2022) Index Coded Modulation in Network to Vehicle (N2V) Communication. In: 95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring, 19 - 22 June 2022, Helsinki.
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Abstract
We consider a particular category of the index coding problems in the network to vehicle (N2V) communication scenario where each vehicle possesses some messages as side information and demands all messages which it does not possess. Under this setup, a lower bound on the number of transmissions is determined. This work proposes the design of an optimal index code for a particular case of N2V communication where the side information is consecutive and present a practical VANET scenario, where the proposed index code (IC) could be applied. The proposed IC solution is independent of the field size and can operate in any field. We have applied index-coded modulation (ICM) over the proposed IC for noisy broadcasting on the AWGN broadcast channel for improved bandwidth efficiency. An algorithm is proposed to map the index coded vectors to constellation points in such a way that the benefit in the error performance can be achieved by a maximum number of vehicles. The simulation results show that ICM offers improved error performance compared to Gray coded modulation for many vehicles while not degrading the performance for others. © 2022 IEEE.
Item Type: | Conference Paper |
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Publication: | IEEE Vehicular Technology Conference |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Additional Information: | The copyright for this article belongs to the Institute of Electrical and Electronics Engineers Inc. |
Keywords: | Codes (symbols); Integrated circuits; Modulation; Network coding; Vehicle performance; Vehicle to vehicle communications; Vehicular ad hoc networks, Broadcast channels; Coded modulation; Coding problems; Error performance; Field size; In networks; Index coding; Low bound; Number of transmissions; Side information, Optimal systems |
Department/Centre: | Division of Electrical Sciences > Electrical Communication Engineering |
Date Deposited: | 06 Oct 2022 11:12 |
Last Modified: | 06 Oct 2022 11:12 |
URI: | https://eprints.iisc.ac.in/id/eprint/77260 |
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