TY - JOUR
T1 - Uplink Performance Analysis in D2D-Enabled Millimeter-Wave Cellular Networks with Clustered Users
AU - Turgut, Esma
AU - Cenk Gursoy, M.
N1 - Funding Information:
Manuscript received February 26, 2018; revised September 22, 2018 and December 14, 2018; accepted December 14, 2018. Date of publication January 4, 2019; date of current version February 11, 2019. This work was supported by the National Science Foundation under Grant ECCS-1443994 and Grant CCF-1618615. This paper was presented in part at the IEEE Vehicular Technology Conference (VTC)-Fall, Chicago, in 2018 [29]. The associate editor coordinating the review of this paper and approving it for publication was H. S. Dhillon. (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 under Grant ECCS-1443994 and Grant CCF-1618615
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2019/2
Y1 - 2019/2
N2 - In this paper, an analytical framework is provided to analyze the uplink performance of device-To-device (D2D)-enabled millimeter-wave (mm-wave) cellular networks with clustered D2D user equipments (UEs). The locations of cellular UEs are modeled as a Poisson point process, while the locations of potential D2D UEs are modeled as a Poisson cluster process. Signal-To-interference-plus-noise ratio outage probabilities are derived for both cellular and D2D links using tools from stochastic geometry. The distinguishing features of mm-wave communications such as directional beamforming and having different path loss laws for the line-of-sight and non-line-of-sight links are incorporated into the outage analysis by employing a flexible mode selection scheme and Nakagami fading. Also, the effect of beamforming alignment errors on the outage probability is investigated to get insight into the performance in practical scenarios. Moreover, area spectral efficiency of the cellular and D2D networks is determined for both underlay and overlay types of sharing. Optimal spectrum partition factor is determined for overlay sharing by considering the optimal weighted proportional fair spectrum partition.
AB - In this paper, an analytical framework is provided to analyze the uplink performance of device-To-device (D2D)-enabled millimeter-wave (mm-wave) cellular networks with clustered D2D user equipments (UEs). The locations of cellular UEs are modeled as a Poisson point process, while the locations of potential D2D UEs are modeled as a Poisson cluster process. Signal-To-interference-plus-noise ratio outage probabilities are derived for both cellular and D2D links using tools from stochastic geometry. The distinguishing features of mm-wave communications such as directional beamforming and having different path loss laws for the line-of-sight and non-line-of-sight links are incorporated into the outage analysis by employing a flexible mode selection scheme and Nakagami fading. Also, the effect of beamforming alignment errors on the outage probability is investigated to get insight into the performance in practical scenarios. Moreover, area spectral efficiency of the cellular and D2D networks is determined for both underlay and overlay types of sharing. Optimal spectrum partition factor is determined for overlay sharing by considering the optimal weighted proportional fair spectrum partition.
KW - Device-To-device (D2D) communication
KW - Poisson cluster process
KW - Poisson point process
KW - SINR outage probability
KW - Thomas cluster process
KW - mode selection
KW - stochastic geometry
KW - uplink analysis of mm-wave cellular networks
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U2 - 10.1109/TWC.2018.2889755
DO - 10.1109/TWC.2018.2889755
M3 - Article
AN - SCOPUS:85061717206
SN - 1536-1276
VL - 18
SP - 1085
EP - 1100
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 2
M1 - 8602443
ER -