Effect of Antenna Directivity on Adaptive Modulation in an Underground Mine Gallery Effet de directivité d’antenne sur la modulation adaptative dans une galerie de mine souterraine

Author

Ben Mabrouk, Ismail ; Salim, Azzeddine ; Nedil, Mourad ; Kandil, Nahi ; Talbi, Larbi ; Denidni, Tayeb A.

Author_Institution

Sensor Networks & Cellular Syst. Res. Center, Univ. of Tabuk, Tabuk, Saudi Arabia

Volume

37

Issue

4

fYear

2014

fDate

Fall 2014

Firstpage

222

Lastpage

227

Abstract

Adaptive modulation is an effective technique to make full use of wireless channel capacity and average spectral efficiency in multiple-input-multiple-output (MIMO) systems. Measured channel parameters performed in an underground mine environment at 2.4 GHz have been used in simulation tools based on Agilent SystemVue software. Two types of 2×2 MIMO antennas are investigated aiming to identify the optimal antenna technology that allows us to improve the performance of the MIMO channel. In addition, the modulation behavior at different locations in the undertaken mine gallery is considered. The best suitable modulation scheme is then selected depending on the obtained results [bit-error rate (BER) versus the energy per bit to noise power spectral density ratio (Eb/N0)] and with respect to the receiver location.

Keywords

MIMO communication; adaptive modulation; antenna arrays; channel capacity; error statistics; mining; underground communication; wireless channels; Agilent SystemVue software; BER; MIMO antenna; MIMO channel; MIMO system; adaptive modulation; antenna directivity; bit-error rate; energy per bit; frequency 2.4 GHz; multiple-input-multiple-output system; noise power spectral density ratio; spectral efficiency; underground mine gallery; wireless channel capacity; Antenna measurements; Antennas; Bit error rate; MIMO; Phase shift keying; Wireless communication; ${K}$ -factor; Adaptive modulation (AM); SystemVue; bit-error rate (BER); long-term evolution (LTE); multiple-input???multiple-output (MIMO);

fLanguage

English

Journal_Title

Electrical and Computer Engineering, Canadian Journal of

Publisher

ieee

ISSN

0840-8688

Type

jour

DOI

10.1109/CJECE.2014.2329371

Filename

7005555