Power Allocation for NOMA System via Dual Sub-gradient Descent

Juan Wu; Xinli Ma; Zhenyu Zhang; Zhongshan Zhang; Xiyuan Wang; Xiaomeng Chai; Linglong Dai; Xiaoming Dai

doi:10.1007/978-3-319-72823-0_50

Power Allocation for NOMA System via Dual Sub-gradient Descent

Juan Wu
, Xinli Ma
, Zhenyu Zhang
, Zhongshan Zhang
, Xiyuan Wang
, Xiaomeng Chai
, Linglong Dai
, Xiaoming Dai^*

^*此作品的通讯作者

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

Non-orthogonal multiple access (NOMA) has attracted great attention as a promising downlink multiple access technique for the next generation cellular networks (5G) due to its superior spectral efficiency. Power allocation of multi-user scenario in NOMA is a challenging issue and most of existing works focus on two-user scenario. In this work, we develop a dual sub-gradient descent algorithm based on Lagrange dual function to optimize multi-user power allocation for the multiple-input single-output (MISO) downlink NOMA system. The objective function is a non-convex optimization problem and we can solve it with a log-convex method and an approximation based approach. Numerical results demonstrate that the proposing scheme is able to achieve higher capacity performance for a NOMA transmission system compared with the traditional orthogonal multiple access (OMA) with a few iterations.

源语言	英语
主期刊名	5G for Future Wireless Networks - 1st International Conference, 5GWN 2017, Proceedings
编辑	Zhiyong Feng, Yonghui Li, Victor C.M. Leung, Keping Long, Haijun Zhang, Zhongshan Zhang
出版商	Springer Verlag
页	544-555
页数	12
ISBN（印刷版）	9783319728223
DOI	https://doi.org/10.1007/978-3-319-72823-0_50
出版状态	已出版 - 2018
已对外发布	是
活动	1st International Conference on 5G for Future Wireless Networks, 5GWN 2017 - Beijing, 中国期限: 21 4月 2017 → 23 4月 2017

出版系列

姓名	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
卷	211
ISSN（印刷版）	1867-8211

会议

会议	1st International Conference on 5G for Future Wireless Networks, 5GWN 2017
国家/地区	中国
市	Beijing
时期	21/04/17 → 23/04/17

访问文件

10.1007/978-3-319-72823-0_50

其它文件与链接

链接到 Scopus 的出版物

引用此

Wu, J., Ma, X., Zhang, Z., Zhang, Z., Wang, X., Chai, X., Dai, L., & Dai, X. (2018). Power Allocation for NOMA System via Dual Sub-gradient Descent. 在 Z. Feng, Y. Li, V. C. M. Leung, K. Long, H. Zhang, & Z. Zhang (编辑), 5G for Future Wireless Networks - 1st International Conference, 5GWN 2017, Proceedings (页码 544-555). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; 卷 211). Springer Verlag. https://doi.org/10.1007/978-3-319-72823-0_50

Wu, Juan ; Ma, Xinli ; Zhang, Zhenyu 等. / Power Allocation for NOMA System via Dual Sub-gradient Descent. 5G for Future Wireless Networks - 1st International Conference, 5GWN 2017, Proceedings. 编辑 / Zhiyong Feng ; Yonghui Li ; Victor C.M. Leung ; Keping Long ; Haijun Zhang ; Zhongshan Zhang. Springer Verlag, 2018. 页码 544-555 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

@inproceedings{c1535202162d49a782c838e1a16da053,

title = "Power Allocation for NOMA System via Dual Sub-gradient Descent",

abstract = "Non-orthogonal multiple access (NOMA) has attracted great attention as a promising downlink multiple access technique for the next generation cellular networks (5G) due to its superior spectral efficiency. Power allocation of multi-user scenario in NOMA is a challenging issue and most of existing works focus on two-user scenario. In this work, we develop a dual sub-gradient descent algorithm based on Lagrange dual function to optimize multi-user power allocation for the multiple-input single-output (MISO) downlink NOMA system. The objective function is a non-convex optimization problem and we can solve it with a log-convex method and an approximation based approach. Numerical results demonstrate that the proposing scheme is able to achieve higher capacity performance for a NOMA transmission system compared with the traditional orthogonal multiple access (OMA) with a few iterations.",

keywords = "Dual sub-gradient descent, Log-convex, Non-orthogonal multiple access, Power allocation",

author = "Juan Wu and Xinli Ma and Zhenyu Zhang and Zhongshan Zhang and Xiyuan Wang and Xiaomeng Chai and Linglong Dai and Xiaoming Dai",

note = "Publisher Copyright: {\textcopyright} 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 1st International Conference on 5G for Future Wireless Networks, 5GWN 2017 ; Conference date: 21-04-2017 Through 23-04-2017",

year = "2018",

doi = "10.1007/978-3-319-72823-0\_50",

language = "English",

isbn = "9783319728223",

series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",

publisher = "Springer Verlag",

pages = "544--555",

editor = "Zhiyong Feng and Yonghui Li and Leung, \{Victor C.M.\} and Keping Long and Haijun Zhang and Zhongshan Zhang",

booktitle = "5G for Future Wireless Networks - 1st International Conference, 5GWN 2017, Proceedings",

address = "Germany",

}

Wu, J, Ma, X, Zhang, Z, Zhang, Z, Wang, X, Chai, X, Dai, L & Dai, X 2018, Power Allocation for NOMA System via Dual Sub-gradient Descent. 在 Z Feng, Y Li, VCM Leung, K Long, H Zhang & Z Zhang (编辑), 5G for Future Wireless Networks - 1st International Conference, 5GWN 2017, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 卷 211, Springer Verlag, 页码 544-555, 1st International Conference on 5G for Future Wireless Networks, 5GWN 2017, Beijing, 中国, 21/04/17. https://doi.org/10.1007/978-3-319-72823-0_50

Power Allocation for NOMA System via Dual Sub-gradient Descent. / Wu, Juan; Ma, Xinli; Zhang, Zhenyu 等.
5G for Future Wireless Networks - 1st International Conference, 5GWN 2017, Proceedings. 编辑 / Zhiyong Feng; Yonghui Li; Victor C.M. Leung; Keping Long; Haijun Zhang; Zhongshan Zhang. Springer Verlag, 2018. 页码 544-555 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; 卷 211).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Power Allocation for NOMA System via Dual Sub-gradient Descent

AU - Wu, Juan

AU - Ma, Xinli

AU - Zhang, Zhenyu

AU - Zhang, Zhongshan

AU - Wang, Xiyuan

AU - Chai, Xiaomeng

AU - Dai, Linglong

AU - Dai, Xiaoming

PY - 2018

Y1 - 2018

N2 - Non-orthogonal multiple access (NOMA) has attracted great attention as a promising downlink multiple access technique for the next generation cellular networks (5G) due to its superior spectral efficiency. Power allocation of multi-user scenario in NOMA is a challenging issue and most of existing works focus on two-user scenario. In this work, we develop a dual sub-gradient descent algorithm based on Lagrange dual function to optimize multi-user power allocation for the multiple-input single-output (MISO) downlink NOMA system. The objective function is a non-convex optimization problem and we can solve it with a log-convex method and an approximation based approach. Numerical results demonstrate that the proposing scheme is able to achieve higher capacity performance for a NOMA transmission system compared with the traditional orthogonal multiple access (OMA) with a few iterations.

AB - Non-orthogonal multiple access (NOMA) has attracted great attention as a promising downlink multiple access technique for the next generation cellular networks (5G) due to its superior spectral efficiency. Power allocation of multi-user scenario in NOMA is a challenging issue and most of existing works focus on two-user scenario. In this work, we develop a dual sub-gradient descent algorithm based on Lagrange dual function to optimize multi-user power allocation for the multiple-input single-output (MISO) downlink NOMA system. The objective function is a non-convex optimization problem and we can solve it with a log-convex method and an approximation based approach. Numerical results demonstrate that the proposing scheme is able to achieve higher capacity performance for a NOMA transmission system compared with the traditional orthogonal multiple access (OMA) with a few iterations.

KW - Dual sub-gradient descent

KW - Log-convex

KW - Non-orthogonal multiple access

KW - Power allocation

UR - https://www.scopus.com/pages/publications/85040238943

U2 - 10.1007/978-3-319-72823-0_50

DO - 10.1007/978-3-319-72823-0_50

M3 - Conference contribution

AN - SCOPUS:85040238943

SN - 9783319728223

T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

SP - 544

EP - 555

BT - 5G for Future Wireless Networks - 1st International Conference, 5GWN 2017, Proceedings

A2 - Feng, Zhiyong

A2 - Li, Yonghui

A2 - Leung, Victor C.M.

A2 - Long, Keping

A2 - Zhang, Haijun

A2 - Zhang, Zhongshan

PB - Springer Verlag

T2 - 1st International Conference on 5G for Future Wireless Networks, 5GWN 2017

Y2 - 21 April 2017 through 23 April 2017

ER -

Wu J, Ma X, Zhang Z, Zhang Z, Wang X, Chai X 等. Power Allocation for NOMA System via Dual Sub-gradient Descent. 在 Feng Z, Li Y, Leung VCM, Long K, Zhang H, Zhang Z, 编辑, 5G for Future Wireless Networks - 1st International Conference, 5GWN 2017, Proceedings. Springer Verlag. 2018. 页码 544-555. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-319-72823-0_50

Power Allocation for NOMA System via Dual Sub-gradient Descent

摘要

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