Title of Paper:A Fine-Grained Analysis of Millimeter-Wave Device-to-Device Networks

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Date of Publication:2017-11-01

Journal:IEEE TRANSACTIONS ON COMMUNICATIONS

Included Journals:SCIE、EI、Scopus

Volume:65

Issue:11

Page Number:4940-4954

ISSN No.:0090-6778

Key Words:Stochastic geometry; Poisson point process; meta distribution; mean local delay; spatial outage capacity; millimeter wave; D2D communication

Abstract:Enabling device-to-device (D2D) communications in millimeter-wave (mm-wave) networks is of critical importance for the next-generation mobile networks to support very high data rates (multi-gigabits-per-second) for mobile devices. In this paper, we provide a fine-grained performance analysis of the mm-wave D2D communication networks. Specifically, we first establish a general and tractable framework to investigate the performance of mm-wave D2D networks using the Poisson bipolar model integrated with several features of the mm-wave band. To show what fraction of users in the network achieve target reliability if the required signal-to-interference-plus-noise ratio (SINR) (or QoS requirement) is given, we derive the meta distributions of the SINR and the data rate. Interestingly, in mm-wave D2D networks, the standard beta approximation for the meta distribution does not work very well when highly directional antenna arrays are used or the node density is small. To resolve this issue, we provide a modified approximation by using higher moments of the conditional SINR distribution, which is shown to be closer to the exact result. On this basis, we also derive the mean local delay and spatial outage capacity to provide a comprehensive investigation on the impact of mm-wave features on the performance of D2D communication.