Power Distribution of Device-to-Device Communications in Underlaid Cellular Networks

Morteza Banagar; Behrouz Maham; Petar Popovski; Francesco Pantisano

doi:10.1109/LWC.2016.2518176

Power Distribution of Device-to-Device Communications in Underlaid Cellular Networks

Morteza Banagar, Behrouz Maham, Petar Popovski, Francesco Pantisano

Department of Electronic Systems

Research output: Contribution to journal › Journal article › Research › peer-review

18 Citations (Scopus)

Abstract

Device-to-device (D2D) communications have recently emerged as a novel transmission paradigm in wireless cellular networks. D2D transmissions take place concurrently with the usual cellular connections, and thus, controlling the interference brought to the macro-cellular user equipment (UE) is of vital importance. In this letter, we consider the uplink transmission of a tier of D2D users that operates as an underlay for the traditional cellular network. Using a network model based on stochastic geometry, we derive the equilibrium cumulative distribution function (CDF) of the D2D transmit power. Considering interference-limited and relatively lossy environment cases, closed-form equations are derived for the power CDF. Finally, a tight closed-form upper-bound for the derived power distribution is proposed, and the analytical results are validated via simulation.

Original language	English
Article number	7383234
Journal	IEEE Wireless Communications Letters
Volume	5
Issue number	2
Pages (from-to)	204-207
ISSN	2162-2337
DOIs	https://doi.org/10.1109/LWC.2016.2518176
Publication status	Published - 1 Apr 2016

Keywords

D2D communication
power distribution
stochastic geometry
underlaid cellular network

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10.1109/LWC.2016.2518176

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title = "Power Distribution of Device-to-Device Communications in Underlaid Cellular Networks",

abstract = "Device-to-device (D2D) communications have recently emerged as a novel transmission paradigm in wireless cellular networks. D2D transmissions take place concurrently with the usual cellular connections, and thus, controlling the interference brought to the macro-cellular user equipment (UE) is of vital importance. In this letter, we consider the uplink transmission of a tier of D2D users that operates as an underlay for the traditional cellular network. Using a network model based on stochastic geometry, we derive the equilibrium cumulative distribution function (CDF) of the D2D transmit power. Considering interference-limited and relatively lossy environment cases, closed-form equations are derived for the power CDF. Finally, a tight closed-form upper-bound for the derived power distribution is proposed, and the analytical results are validated via simulation.",

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AU - Banagar, Morteza

AU - Maham, Behrouz

AU - Popovski, Petar

AU - Pantisano, Francesco

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N2 - Device-to-device (D2D) communications have recently emerged as a novel transmission paradigm in wireless cellular networks. D2D transmissions take place concurrently with the usual cellular connections, and thus, controlling the interference brought to the macro-cellular user equipment (UE) is of vital importance. In this letter, we consider the uplink transmission of a tier of D2D users that operates as an underlay for the traditional cellular network. Using a network model based on stochastic geometry, we derive the equilibrium cumulative distribution function (CDF) of the D2D transmit power. Considering interference-limited and relatively lossy environment cases, closed-form equations are derived for the power CDF. Finally, a tight closed-form upper-bound for the derived power distribution is proposed, and the analytical results are validated via simulation.

AB - Device-to-device (D2D) communications have recently emerged as a novel transmission paradigm in wireless cellular networks. D2D transmissions take place concurrently with the usual cellular connections, and thus, controlling the interference brought to the macro-cellular user equipment (UE) is of vital importance. In this letter, we consider the uplink transmission of a tier of D2D users that operates as an underlay for the traditional cellular network. Using a network model based on stochastic geometry, we derive the equilibrium cumulative distribution function (CDF) of the D2D transmit power. Considering interference-limited and relatively lossy environment cases, closed-form equations are derived for the power CDF. Finally, a tight closed-form upper-bound for the derived power distribution is proposed, and the analytical results are validated via simulation.

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KW - stochastic geometry

KW - underlaid cellular network

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Power Distribution of Device-to-Device Communications in Underlaid Cellular Networks

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