TY - JOUR
T1 - Coverage in Heterogeneous Downlink Millimeter Wave Cellular Networks
AU - Turgut, Esma
AU - Cenk Gursoy, M.
N1 - Funding Information:
Manuscript received December 2, 2016; revised March 29, 2017; accepted May 3, 2017. Date of publication May 18, 2017; date of current version October 16, 2017. This work was supported in part by National Science Foundation grants CCF-1618615 and ECCS-1443994. This paper was presented at the IEEE Global Communications Conference, Washington, DC, Dec. 2016. The associate editor coordinating the review of this paper and approving it for publication was Yonghui Li. (Corresponding author: M. Cenk Gursoy.) The authors are with the Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY 13244 USA (e-mail: eturgut@syr.edu; mcgursoy@syr.edu).
Funding Information:
National Science Foundation grants CCF-1618615 and ECCS-1443994
Publisher Copyright:
© 1972-2012 IEEE.
PY - 2017/10
Y1 - 2017/10
N2 - In this paper, we provide an analytical framework to analyze heterogeneous downlink millimeter-wave (mm-wave) cellular networks consisting of K tiers of randomly located base stations (BSS), where each tier operates in an mm-wave 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 mm-wave communications, such as directional beamforming, and having different path loss laws for line-of-sight and non-line-of-sight links are incorporated into the coverage analysis by assuming averaged biased-received power association and Nakagami fading. By using the noise-limited assumption for mm-wave networks, a simpler expression requiring the computation of only one numerical integral for coverage probability is obtained. Also, the effect of beamforming alignment errors on the coverage probability analysis is investigated to get insight on the performance in practical scenarios. Downlink rate coverage probability is derived as well to get more insights on the performance of the network. Moreover, the effect of deploying low-power smaller cells and the impact of biasing factor on energy efficiency is analyzed. Finally, a hybrid cellular network operating in both mm-wave and \mu-wave frequency bands is addressed.
AB - In this paper, we provide an analytical framework to analyze heterogeneous downlink millimeter-wave (mm-wave) cellular networks consisting of K tiers of randomly located base stations (BSS), where each tier operates in an mm-wave 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 mm-wave communications, such as directional beamforming, and having different path loss laws for line-of-sight and non-line-of-sight links are incorporated into the coverage analysis by assuming averaged biased-received power association and Nakagami fading. By using the noise-limited assumption for mm-wave networks, a simpler expression requiring the computation of only one numerical integral for coverage probability is obtained. Also, the effect of beamforming alignment errors on the coverage probability analysis is investigated to get insight on the performance in practical scenarios. Downlink rate coverage probability is derived as well to get more insights on the performance of the network. Moreover, the effect of deploying low-power smaller cells and the impact of biasing factor on energy efficiency is analyzed. Finally, a hybrid cellular network operating in both mm-wave and \mu-wave frequency bands is addressed.
KW - Heterogeneous cellular networks
KW - Poisson point process
KW - coverage probability
KW - mmWave cellular networks
KW - stochastic geometry
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U2 - 10.1109/TCOMM.2017.2705692
DO - 10.1109/TCOMM.2017.2705692
M3 - Article
AN - SCOPUS:85035756004
SN - 1558-0857
VL - 65
SP - 4463
EP - 4477
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
IS - 10
M1 - 7931577
ER -