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Capacity Analysis of Time-Indexed Media-based Modulation

Shamasundar, B and Theagarajan, LN and Chockalingam, A (2020) Capacity Analysis of Time-Indexed Media-based Modulation. In: 2020 IEEE Wireless Communications and Networking Conference WCNC 2020, 25-28, May 2020, Seoul, South Korea.

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Official URL: https://dx.doi.org/10.1109/WCNC45663.2020.9120838

Abstract

Time-indexed media-based modulation (TI-MBM) is an index modulation scheme where time slots in a transmission frame are indexed to convey additional information bits in media-based modulation (MBM). It was shown in the literature that, in frequency selective fading channels with inter-symbol interference, TI-MBM with cyclic-prefixed single-carrier (CPSC) scheme can achieve better transmission rates, bit error performance, and multipath diversity gain compared to conventional MBM. In this paper, we analyze the capacity of TI-MBM with CPSC, which has not been reported before. We show that, for a given channel matrix, selecting the index of the activated time slots and RF mirrors according to uniform distribution is suboptimal. We derive the probabilities with which time slots and RF mirrors in TI-MBM can be activated such that the achievable transmission rate is maximized. Further, we prove that the transmit symbols from a Gaussian mixture distribution, whose mixture weights are chosen to be the product of these probabilities, can achieve capacity. © 2020 IEEE.

Item Type: Conference Paper
Publication: IEEE Wireless Communications and Networking Conference, WCNC
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright of this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords: Fading channels; Mirrors; Modulation; Probability distributions, Capacity analysis; Cyclic prefixed single carriers; Gaussian mixture distribution; Multipath diversity; Transmission frames; Transmission rates; Transmit symbols; Uniform distribution, Frequency selective fading
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 24 Aug 2020 07:05
Last Modified: 24 Aug 2020 07:05
URI: http://eprints.iisc.ac.in/id/eprint/65986

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