DocumentCode :
730444
Title :
Interference statistics in a random mmWave ad hoc network
Author :
Thornburg, Andrew ; Tianyang Bai ; Heath, Robert W.
Author_Institution :
Wireless Commun. & Networking Group, Univ. of Texas at Austin, Austin, TX, USA
fYear :
2015
fDate :
19-24 April 2015
Firstpage :
2904
Lastpage :
2908
Abstract :
Wireless communication at millimeter wave (mmWave) frequencies is attractive for cellular, local area, and ad hoc networks due to the potential for channels with large bandwidths. As a byproduct of directional beamforming and propagation differences, some studies have claimed that mmWave networks will be noise rather than interference limited. This paper presents a derivation of the instantaneous interference-to-noise ratio (INR) distribution of a mmWave ad hoc network. Random network model of transmitters represented by a Poisson point process with a narrowband channel model is used to derive an approximation of the INR distribution. The analysis shows that the shape of the INR distribution is determined largely by the line-of-sight interferers, which depends on the overall network density and building blockage. A main conclusion drawn is that even with highly directional beamforming, interference can only sometimes be neglected in an ad hoc network. With a reasonable choice of system parameters, the interference is nearly always stronger than the noise power in dense networks.
Keywords :
Poisson distribution; ad hoc networks; approximation theory; array signal processing; cellular radio; local area networks; millimetre wave propagation; radiofrequency interference; stochastic processes; wireless channels; INR distribution approximation; Poisson point process; building blockage; cellular networks; directional beamforming; instantaneous interference-to-noise ratio distribution; interference statistics; line-of-sight interferers; local area networks; narrowband channel model; overall network density; propagation differences; random millimeter wave ad hoc networks; random transmitter network model; wireless communication; Ad hoc networks; Antennas; Interference; Noise; Random variables; Receivers; Transmitters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
Type :
conf
DOI :
10.1109/ICASSP.2015.7178502
Filename :
7178502
Link To Document :
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