Sum-rate maximization for wireless seismic data acquisition systems

Abdullah Othman; Wessam Mesbah; Naveed Iqbal; Suhail Al-Dharrab; Ali Muqaibel; Gordon Stuber

doi:10.1190/segam2018-2998141.1

Sum-rate maximization for wireless seismic data acquisition systems

Abdullah Othman, Wessam Mesbah, Naveed Iqbal, Suhail Al-Dharrab, Ali Muqaibel, Gordon Stuber

Research output: Contribution to conference › Paper › peer-review

2 Scopus citations

Abstract

In this paper we consider the problem of maximizing the information theoretic sum-rate in a wireless geo-seismic acquisition system. Successive interference cancellation decoding is assumed at the gateway nodes, and Shannon capacity bounds are used to search for the optimal set of geophones to be decoded at each gateway. These optimization algorithms are simulated and compared, where it is shown that the ant system achieves the highest sum-rate compared to other algorithms.

Original language	English
Pages	181-185
Number of pages	5
DOIs	https://doi.org/10.1190/segam2018-2998141.1
State	Published - 2019

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Publisher Copyright:
© 2018 SEG.

ASJC Scopus subject areas

Geophysics

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abstract = "In this paper we consider the problem of maximizing the information theoretic sum-rate in a wireless geo-seismic acquisition system. Successive interference cancellation decoding is assumed at the gateway nodes, and Shannon capacity bounds are used to search for the optimal set of geophones to be decoded at each gateway. These optimization algorithms are simulated and compared, where it is shown that the ant system achieves the highest sum-rate compared to other algorithms.",

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AU - Muqaibel, Ali

AU - Stuber, Gordon

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AB - In this paper we consider the problem of maximizing the information theoretic sum-rate in a wireless geo-seismic acquisition system. Successive interference cancellation decoding is assumed at the gateway nodes, and Shannon capacity bounds are used to search for the optimal set of geophones to be decoded at each gateway. These optimization algorithms are simulated and compared, where it is shown that the ant system achieves the highest sum-rate compared to other algorithms.

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Sum-rate maximization for wireless seismic data acquisition systems

Abstract

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