Title
Optimal power allocation for underground selective channel at 60 GHz
Abstract
In this paper, we are interested in evaluating the capacity of an underground mine channel in the millimeter wave band. Using a vector network analyzer (VNA) and three carefully chosen antennas, one omni and two horn antennas, we performed measurements at 40 m and 70 m levels in the CANMET mine located in Val-d'Or, Canada. This mine has tunnels with a width varying between 2.5 and 4 m and a height varying between 3 and 4 m. Our work uses data for propagation in an underground mine obtained using a different setup from what was used previously. With both uniform and optimal power spectrum allocation (UPSA, OPSA) at the transmitter side, we have computed the capacity of the channel based on the measurements. By using optimal power allocation, we take into account the fading characteristics of the channel. The results prove that the capacity gain depends on the multipath characteristics. Also, they show the pertinence of the optimal power spectrum allocation for this type of channel.
Year
DOI
Venue
2014
10.1109/ICCW.2014.6881287
Communications Workshops
Keywords
Field
DocType
channel allocation,channel capacity,fading channels,geophysical techniques,horn antennas,millimetre wave antennas,millimetre wave measurement,millimetre wave propagation,mining industry,multipath channels,network analysers,omnidirectional antennas,radio transmitters,radiotelemetry,tunnels,underground communication,CANMET mine,OPSA,UPSA,VNA,Val-d'Or Canada,distance 40 m,distance 70 m,frequency 60 GHz,horn antenna,millimeter wave band,multipath channel characteristics,omniantenna,optimal power spectrum allocation,size 2.5 m to 4 m,transmitter,tunnel,underground mine channel,underground selective channel,vector network analyzer
Multipath propagation,Transmitter,Network analyzer (electrical),Extremely high frequency,Telecommunications,Spatial correlation,Computer science,Fading,Communication channel,Real-time computing,Electronic engineering,Spectral density
Conference
ISSN
Citations 
PageRank 
2164-7038
1
0.35
References 
Authors
8
4
Name
Order
Citations
PageRank
Mohamad El Khaled110.35
Paul Fortier210117.51
Mohamed Lassaad Ammari320.70
Shah Ahsanuzzaman Md Tariq461.97