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Hybrid-Index Modulation in Fading Channels With Integrated Sensing and Communication

delete2026-06-18
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OA
AI
J
Jaswinder Lota
A
Andreas Demosthenous
DOI:10.1109/ojvt.2026.3705145delete
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Abstract

Abstract

En 中文
Ultra-high-speed data transfer and energy efficiency are rapidly emerging as challenging and simultaneous requirements for next-generation vehicle-to-vehicle communication networks. This paper presents the first semi-analytical bit-error-rate analysis of hybrid index modulation with hexagonal-quadrature amplitude modulation over Rician and lognormal fading channels, combined with an integrated sensing and communication framework for simultaneous vehicle detection. The moment generating function of the instantaneous signal-to-noise ratio is employed to derive the bit-error-rate; an algorithm is developed to compute the bit-error-rate for any channel with a known probability density function of the instantaneous signal-to-noise ratio. At equal total transmitted power and bit-error-rate of 10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−4</sup>, a 2-4 bits per slot gain is achieved over legacy systems with a lower 4–5 dB signal-to-noise ratio. Analytical Cramér-Rao lower bounds and Monte Carlo root-mean square errors are derived for a joint two-dimensional (range-azimuth) position and velocity estimation; a position root-mean square error below 10 cm is demonstrated at 142 GHz for a vehicle at 50 m. The joint bit-error-rate and root-mean-square error as functions of the sensing-communication power allocation are quantified, and the Doppler impact on symbol orthogonality is characterised.
Keywords:
Bit-error-rate
fading channels
hybrid-index modulation
integrated sensing and communications
millimetre-wave
moment generating function, sub-terahertz
vehicle-to-vehicle communication

Journal

I
IEEE Open Journal of Vehicular Technology
IF:
4.8
Papers:
493
Citations:
987

Organization

U
University of East London
Scholars:
1.1K
Papers: 1.1K
Citations: 1.0K
U
university college london
Scholars:
7.3K
Papers: 4.0K
Citations: 1
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