TY - GEN
T1 - Coverage in heterogeneous downlink millimeter wave cellular networks
AU - Turgut, Esma
AU - Gursoy, M. Cenk
N1 - Funding Information:
This work was supported by the National Science Foundation under Grant ECCS-1443994.
Publisher Copyright:
© 2016 IEEE.
PY - 2016
Y1 - 2016
N2 - In this paper, we provide an analytical framework to analyze heterogeneous downlink mmWave cellular networks consisting of K tiers of randomly located base stations (BSs) where each tier operates in a mmWave frequency band. Signal-to-interference-plus-noise ratio (SINR) coverage probability is derived for the entire network using tools from stochastic geometry. The distinguishing features of mmWave communications such as directional beamforming and having different path loss laws for line-of-sight (LOS) and non-line-of-sight (NLOS) links are incorporated into the coverage analysis by assuming averaged biased-received power association and Nakagami-m fading. By using the noise-limited assumption for mmWave networks, a simpler expression requiring the computation of only one numerical integral for coverage probability is obtained. Finally, effect of beamforming alignment errors on the coverage probability analysis is investigated to get insight on the performance in practical scenarios.
AB - In this paper, we provide an analytical framework to analyze heterogeneous downlink mmWave cellular networks consisting of K tiers of randomly located base stations (BSs) where each tier operates in a mmWave frequency band. Signal-to-interference-plus-noise ratio (SINR) coverage probability is derived for the entire network using tools from stochastic geometry. The distinguishing features of mmWave communications such as directional beamforming and having different path loss laws for line-of-sight (LOS) and non-line-of-sight (NLOS) links are incorporated into the coverage analysis by assuming averaged biased-received power association and Nakagami-m fading. By using the noise-limited assumption for mmWave networks, a simpler expression requiring the computation of only one numerical integral for coverage probability is obtained. Finally, effect of beamforming alignment errors on the coverage probability analysis is investigated to get insight on the performance in practical scenarios.
UR - http://www.scopus.com/inward/record.url?scp=85015370661&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85015370661&partnerID=8YFLogxK
U2 - 10.1109/GLOCOM.2016.7841706
DO - 10.1109/GLOCOM.2016.7841706
M3 - Conference contribution
AN - SCOPUS:85015370661
T3 - 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings
BT - 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 59th IEEE Global Communications Conference, GLOBECOM 2016
Y2 - 4 December 2016 through 8 December 2016
ER -