SINR Distribution and Scheduling Gain Analysis of Uplink Channel-Adaptive Scheduling

Shotaro Kamiya; Koji Yamamoto; Seong Lyun Kim; Takayuki Nishio; Masahiro Morikura

doi:10.1109/TWC.2019.2963866

SINR Distribution and Scheduling Gain Analysis of Uplink Channel-Adaptive Scheduling

Shotaro Kamiya, Koji Yamamoto, Seong Lyun Kim, Takayuki Nishio, Masahiro Morikura

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

Despite the widespread popularity of stochastic geometry analysis for cellular networks, most analytical results lack the perspective of channel-adaptive user scheduling. This study presents a stochastic geometry analysis of the SINR distribution and scheduling gain of normalized SNR-based scheduling in an uplink Poisson cellular network, in which the per-user truncated fractional transmit power control is performed. Because the effects of multi-user diversity depend on the number of candidate users to be scheduled, which is a random variable in a Poisson cellular network, the number distribution of candidate users is a major factor in analyzing the SINR distribution of user scheduling. However, the maximum transmit power constraint of users complicates the distribution of candidate users. This study provides the number distribution of candidate users in a general form, which is obtained by modeling the area of the existing range of candidate users using a beta distribution. Based on this result, this study successfully obtains the uplink SINR distribution under channel-adaptive user scheduling, including cases in which edge users are both allowed and not allowed to transmit at the maximum transmit power. Numerical evaluations reveal that the scheduling gain varies depending on the SNR and the fraction of edge users.

Original language	English
Article number	8956052
Pages (from-to)	2321-2335
Number of pages	15
Journal	IEEE Transactions on Wireless Communications
Volume	19
Issue number	4
DOIs	https://doi.org/10.1109/TWC.2019.2963866
Publication status	Published - 2020 Apr 1

Bibliographical note

Funding Information:
Manuscript received September 26, 2018; revised March 10, 2019, July 26, 2019, and November 26, 2019; accepted December 19, 2019. Date of publication January 10, 2020; date of current version April 9, 2020. This work was supported in part by the JSPS KAKENHI Grant JP17J04854 and in part by the KDDI Foundation. The associate editor coordinating the review of this article and approving it for publication was J. Yuan. (Corresponding author: Shotaro Kamiya.) Shotaro Kamiya, Koji Yamamoto, Takayuki Nishio, and Masahiro Morikura are with the Graduate School of Informatics, Kyoto University, Kyoto 606-8501, Japan (e-mail: kamiya@imc.cce.i.kyoto-u.ac.jp; kyamamot@ i.kyoto-u.ac.jp).

Publisher Copyright:
© 2002-2012 IEEE.

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/TWC.2019.2963866

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title = "SINR Distribution and Scheduling Gain Analysis of Uplink Channel-Adaptive Scheduling",

abstract = "Despite the widespread popularity of stochastic geometry analysis for cellular networks, most analytical results lack the perspective of channel-adaptive user scheduling. This study presents a stochastic geometry analysis of the SINR distribution and scheduling gain of normalized SNR-based scheduling in an uplink Poisson cellular network, in which the per-user truncated fractional transmit power control is performed. Because the effects of multi-user diversity depend on the number of candidate users to be scheduled, which is a random variable in a Poisson cellular network, the number distribution of candidate users is a major factor in analyzing the SINR distribution of user scheduling. However, the maximum transmit power constraint of users complicates the distribution of candidate users. This study provides the number distribution of candidate users in a general form, which is obtained by modeling the area of the existing range of candidate users using a beta distribution. Based on this result, this study successfully obtains the uplink SINR distribution under channel-adaptive user scheduling, including cases in which edge users are both allowed and not allowed to transmit at the maximum transmit power. Numerical evaluations reveal that the scheduling gain varies depending on the SNR and the fraction of edge users.",

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N2 - Despite the widespread popularity of stochastic geometry analysis for cellular networks, most analytical results lack the perspective of channel-adaptive user scheduling. This study presents a stochastic geometry analysis of the SINR distribution and scheduling gain of normalized SNR-based scheduling in an uplink Poisson cellular network, in which the per-user truncated fractional transmit power control is performed. Because the effects of multi-user diversity depend on the number of candidate users to be scheduled, which is a random variable in a Poisson cellular network, the number distribution of candidate users is a major factor in analyzing the SINR distribution of user scheduling. However, the maximum transmit power constraint of users complicates the distribution of candidate users. This study provides the number distribution of candidate users in a general form, which is obtained by modeling the area of the existing range of candidate users using a beta distribution. Based on this result, this study successfully obtains the uplink SINR distribution under channel-adaptive user scheduling, including cases in which edge users are both allowed and not allowed to transmit at the maximum transmit power. Numerical evaluations reveal that the scheduling gain varies depending on the SNR and the fraction of edge users.

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SINR Distribution and Scheduling Gain Analysis of Uplink Channel-Adaptive Scheduling

Abstract

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