Resource Allocation in Multi-User NOMA Wireless Systems

Mingyao Peng; Jie Zeng; Bei Liu; Jiajia Mei; Xin Su; Xibin Xu; Limin Xiao

doi:10.1109/ISMICT.2018.8573724

Resource Allocation in Multi-User NOMA Wireless Systems

Mingyao Peng
, Jie Zeng
, Bei Liu
, Jiajia Mei
, Xin Su
, Xibin Xu
, Limin Xiao

Chongqing University of Posts and Telecommunications
Tsinghua University
University of Electronic Science and Technology of China

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

Non-orthogonal multiple access (NOMA) has been considered as a key candidate technology for 5G wireless systems due to its superior spectral efficiency and system capacity. With the ever-development of wireless body sensor networks (WBSNs) and wireless communications, supporting real-time communications in the telemedicine communication becomes a very important challenge. In this article, our goal is to maximize the overall system throughput by optimizing sub-band allocation and power allocation, thereby improving real-time performance in telemedicine communications. Assuming that the base station could obtain perfect channel state information (CSI), we propose a suboptimal sub-band allocation algorithm with low complexity. In the power allocation scheme, the closed-form expressions of power allocation factors for multiplexed users on each subband are obtained based on the Karush-Kuhn-Tucker (KKT) optimality conditions. Simulation results demonstrate that the proposed resource allocation scheme is closest to the ideal subband allocation based on exhaustive search and is superior to other schemes.

Original language	English
Title of host publication	12th International Symposium on Medical Information and Communication Technology, ISMICT 2018
Publisher	IEEE Computer Society
ISBN (Electronic)	9781538633892
DOIs	https://doi.org/10.1109/ISMICT.2018.8573724
Publication status	Published - 11 Dec 2018
Externally published	Yes
Event	12th International Symposium on Medical Information and Communication Technology, ISMICT 2018 - Sydney, Australia Duration: 26 Mar 2018 → 28 Mar 2018

Publication series

Name	International Symposium on Medical Information and Communication Technology, ISMICT
Volume	2018-March
ISSN (Print)	2326-828X
ISSN (Electronic)	2326-8301

Conference

Conference	12th International Symposium on Medical Information and Communication Technology, ISMICT 2018
Country/Territory	Australia
City	Sydney
Period	26/03/18 → 28/03/18

Keywords

Non-orthogonal multiple access (NOMA)
maximum sum rate
power allocation
sub-band allocation
telemedicine communication

Access to Document

10.1109/ISMICT.2018.8573724

Cite this

Peng, M., Zeng, J., Liu, B., Mei, J., Su, X., Xu, X., & Xiao, L. (2018). Resource Allocation in Multi-User NOMA Wireless Systems. In 12th International Symposium on Medical Information and Communication Technology, ISMICT 2018 Article 8573724 (International Symposium on Medical Information and Communication Technology, ISMICT; Vol. 2018-March). IEEE Computer Society. https://doi.org/10.1109/ISMICT.2018.8573724

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title = "Resource Allocation in Multi-User NOMA Wireless Systems",

abstract = "Non-orthogonal multiple access (NOMA) has been considered as a key candidate technology for 5G wireless systems due to its superior spectral efficiency and system capacity. With the ever-development of wireless body sensor networks (WBSNs) and wireless communications, supporting real-time communications in the telemedicine communication becomes a very important challenge. In this article, our goal is to maximize the overall system throughput by optimizing sub-band allocation and power allocation, thereby improving real-time performance in telemedicine communications. Assuming that the base station could obtain perfect channel state information (CSI), we propose a suboptimal sub-band allocation algorithm with low complexity. In the power allocation scheme, the closed-form expressions of power allocation factors for multiplexed users on each subband are obtained based on the Karush-Kuhn-Tucker (KKT) optimality conditions. Simulation results demonstrate that the proposed resource allocation scheme is closest to the ideal subband allocation based on exhaustive search and is superior to other schemes.",

keywords = "Non-orthogonal multiple access (NOMA), maximum sum rate, power allocation, sub-band allocation, telemedicine communication",

author = "Mingyao Peng and Jie Zeng and Bei Liu and Jiajia Mei and Xin Su and Xibin Xu and Limin Xiao",

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year = "2018",

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doi = "10.1109/ISMICT.2018.8573724",

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Peng, M, Zeng, J, Liu, B, Mei, J, Su, X, Xu, X & Xiao, L 2018, Resource Allocation in Multi-User NOMA Wireless Systems. in 12th International Symposium on Medical Information and Communication Technology, ISMICT 2018., 8573724, International Symposium on Medical Information and Communication Technology, ISMICT, vol. 2018-March, IEEE Computer Society, 12th International Symposium on Medical Information and Communication Technology, ISMICT 2018, Sydney, Australia, 26/03/18. https://doi.org/10.1109/ISMICT.2018.8573724

Resource Allocation in Multi-User NOMA Wireless Systems. / Peng, Mingyao; Zeng, Jie; Liu, Bei et al.
12th International Symposium on Medical Information and Communication Technology, ISMICT 2018. IEEE Computer Society, 2018. 8573724 (International Symposium on Medical Information and Communication Technology, ISMICT; Vol. 2018-March).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Zeng, Jie

AU - Liu, Bei

AU - Mei, Jiajia

AU - Su, Xin

AU - Xu, Xibin

AU - Xiao, Limin

PY - 2018/12/11

Y1 - 2018/12/11

N2 - Non-orthogonal multiple access (NOMA) has been considered as a key candidate technology for 5G wireless systems due to its superior spectral efficiency and system capacity. With the ever-development of wireless body sensor networks (WBSNs) and wireless communications, supporting real-time communications in the telemedicine communication becomes a very important challenge. In this article, our goal is to maximize the overall system throughput by optimizing sub-band allocation and power allocation, thereby improving real-time performance in telemedicine communications. Assuming that the base station could obtain perfect channel state information (CSI), we propose a suboptimal sub-band allocation algorithm with low complexity. In the power allocation scheme, the closed-form expressions of power allocation factors for multiplexed users on each subband are obtained based on the Karush-Kuhn-Tucker (KKT) optimality conditions. Simulation results demonstrate that the proposed resource allocation scheme is closest to the ideal subband allocation based on exhaustive search and is superior to other schemes.

AB - Non-orthogonal multiple access (NOMA) has been considered as a key candidate technology for 5G wireless systems due to its superior spectral efficiency and system capacity. With the ever-development of wireless body sensor networks (WBSNs) and wireless communications, supporting real-time communications in the telemedicine communication becomes a very important challenge. In this article, our goal is to maximize the overall system throughput by optimizing sub-band allocation and power allocation, thereby improving real-time performance in telemedicine communications. Assuming that the base station could obtain perfect channel state information (CSI), we propose a suboptimal sub-band allocation algorithm with low complexity. In the power allocation scheme, the closed-form expressions of power allocation factors for multiplexed users on each subband are obtained based on the Karush-Kuhn-Tucker (KKT) optimality conditions. Simulation results demonstrate that the proposed resource allocation scheme is closest to the ideal subband allocation based on exhaustive search and is superior to other schemes.

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Y2 - 26 March 2018 through 28 March 2018

ER -

Resource Allocation in Multi-User NOMA Wireless Systems

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Keywords

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