Weighted sum-rate maximization for cooperative multiceli multiuser massive MIMO systems based on discretized Pareto boundary approximation

Imran Akhtar; Lixin Li; Xu Li; Wei Chen; Zhu Han

doi:10.1109/WOCC.2018.8372690

Weighted sum-rate maximization for cooperative multiceli multiuser massive MIMO systems based on discretized Pareto boundary approximation

Imran Akhtar, Lixin Li, Xu Li, Wei Chen, Zhu Han

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

1 Citation (Scopus)

Abstract

In this paper, we develop the weighted sum-rate maximization (WSRM) problem for the cooperative multicell multiuser massive MIMO (C4M) system with the limited cooperative scheme where each base station (BS) has user data of all the users in a system. It is shown that by the simple domain change technique, the WSRM problem can be exploited for hidden mono-tonicity and turn out to be a monotonic optimization problem. We propose a robust algorithm for discretized approximation of the Pareto boundary of achievable rate region. Using this algorithm, the normal boundary intersection (NBI) problem is solved. We solve the WSRM problem by using the outer polyblock approximation (OPA) algorithm. Through simulation results, we show that our proposed method has high accuracy as well as a fast convergence rate.

Original language	English
Title of host publication	2018 27th Wireless and Optical Communication Conference, WOCC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781538649596
DOIs	https://doi.org/10.1109/WOCC.2018.8372690
Publication status	Published - 4 Jun 2018
Event	27th Wireless and Optical Communication Conference, WOCC 2018 - Hualien, Taiwan, Province of China Duration: 30 Apr 2018 → 1 May 2018

Publication series

Name	2018 27th Wireless and Optical Communication Conference, WOCC 2018

Conference

Conference	27th Wireless and Optical Communication Conference, WOCC 2018
Country/Territory	Taiwan, Province of China
City	Hualien
Period	30/04/18 → 1/05/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Cooperative multicell multiuser massive MIMO (C4M)
monotonic optimization
polyblock algorithm
spectral efficiency
weighted sum-rate maximization (WSRM)

Access to Document

10.1109/WOCC.2018.8372690

Cite this

Akhtar, I., Li, L., Li, X., Chen, W., & Han, Z. (2018). Weighted sum-rate maximization for cooperative multiceli multiuser massive MIMO systems based on discretized Pareto boundary approximation. In 2018 27th Wireless and Optical Communication Conference, WOCC 2018 (pp. 1-5). (2018 27th Wireless and Optical Communication Conference, WOCC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WOCC.2018.8372690

Akhtar, Imran ; Li, Lixin ; Li, Xu et al. / Weighted sum-rate maximization for cooperative multiceli multiuser massive MIMO systems based on discretized Pareto boundary approximation. 2018 27th Wireless and Optical Communication Conference, WOCC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-5 (2018 27th Wireless and Optical Communication Conference, WOCC 2018).

@inproceedings{d62a8771f6274b628efc9ad1db078b0f,

title = "Weighted sum-rate maximization for cooperative multiceli multiuser massive MIMO systems based on discretized Pareto boundary approximation",

abstract = "In this paper, we develop the weighted sum-rate maximization (WSRM) problem for the cooperative multicell multiuser massive MIMO (C4M) system with the limited cooperative scheme where each base station (BS) has user data of all the users in a system. It is shown that by the simple domain change technique, the WSRM problem can be exploited for hidden mono-tonicity and turn out to be a monotonic optimization problem. We propose a robust algorithm for discretized approximation of the Pareto boundary of achievable rate region. Using this algorithm, the normal boundary intersection (NBI) problem is solved. We solve the WSRM problem by using the outer polyblock approximation (OPA) algorithm. Through simulation results, we show that our proposed method has high accuracy as well as a fast convergence rate.",

keywords = "Cooperative multicell multiuser massive MIMO (C4M), monotonic optimization, polyblock algorithm, spectral efficiency, weighted sum-rate maximization (WSRM)",

author = "Imran Akhtar and Lixin Li and Xu Li and Wei Chen and Zhu Han",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 27th Wireless and Optical Communication Conference, WOCC 2018 ; Conference date: 30-04-2018 Through 01-05-2018",

year = "2018",

month = jun,

day = "4",

doi = "10.1109/WOCC.2018.8372690",

language = "English",

series = "2018 27th Wireless and Optical Communication Conference, WOCC 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1--5",

booktitle = "2018 27th Wireless and Optical Communication Conference, WOCC 2018",

address = "United States",

}

Akhtar, I, Li, L, Li, X, Chen, W & Han, Z 2018, Weighted sum-rate maximization for cooperative multiceli multiuser massive MIMO systems based on discretized Pareto boundary approximation. in 2018 27th Wireless and Optical Communication Conference, WOCC 2018. 2018 27th Wireless and Optical Communication Conference, WOCC 2018, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 27th Wireless and Optical Communication Conference, WOCC 2018, Hualien, Taiwan, Province of China, 30/04/18. https://doi.org/10.1109/WOCC.2018.8372690

Weighted sum-rate maximization for cooperative multiceli multiuser massive MIMO systems based on discretized Pareto boundary approximation. / Akhtar, Imran; Li, Lixin; Li, Xu et al.
2018 27th Wireless and Optical Communication Conference, WOCC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-5 (2018 27th Wireless and Optical Communication Conference, WOCC 2018).

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

TY - GEN

T1 - Weighted sum-rate maximization for cooperative multiceli multiuser massive MIMO systems based on discretized Pareto boundary approximation

AU - Akhtar, Imran

AU - Li, Lixin

AU - Li, Xu

AU - Chen, Wei

AU - Han, Zhu

PY - 2018/6/4

Y1 - 2018/6/4

N2 - In this paper, we develop the weighted sum-rate maximization (WSRM) problem for the cooperative multicell multiuser massive MIMO (C4M) system with the limited cooperative scheme where each base station (BS) has user data of all the users in a system. It is shown that by the simple domain change technique, the WSRM problem can be exploited for hidden mono-tonicity and turn out to be a monotonic optimization problem. We propose a robust algorithm for discretized approximation of the Pareto boundary of achievable rate region. Using this algorithm, the normal boundary intersection (NBI) problem is solved. We solve the WSRM problem by using the outer polyblock approximation (OPA) algorithm. Through simulation results, we show that our proposed method has high accuracy as well as a fast convergence rate.

AB - In this paper, we develop the weighted sum-rate maximization (WSRM) problem for the cooperative multicell multiuser massive MIMO (C4M) system with the limited cooperative scheme where each base station (BS) has user data of all the users in a system. It is shown that by the simple domain change technique, the WSRM problem can be exploited for hidden mono-tonicity and turn out to be a monotonic optimization problem. We propose a robust algorithm for discretized approximation of the Pareto boundary of achievable rate region. Using this algorithm, the normal boundary intersection (NBI) problem is solved. We solve the WSRM problem by using the outer polyblock approximation (OPA) algorithm. Through simulation results, we show that our proposed method has high accuracy as well as a fast convergence rate.

KW - Cooperative multicell multiuser massive MIMO (C4M)

KW - monotonic optimization

KW - polyblock algorithm

KW - spectral efficiency

KW - weighted sum-rate maximization (WSRM)

UR - http://www.scopus.com/inward/record.url?scp=85049387330&partnerID=8YFLogxK

U2 - 10.1109/WOCC.2018.8372690

DO - 10.1109/WOCC.2018.8372690

M3 - Conference contribution

AN - SCOPUS:85049387330

T3 - 2018 27th Wireless and Optical Communication Conference, WOCC 2018

SP - 1

EP - 5

BT - 2018 27th Wireless and Optical Communication Conference, WOCC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 27th Wireless and Optical Communication Conference, WOCC 2018

Y2 - 30 April 2018 through 1 May 2018

ER -

Akhtar I, Li L, Li X, Chen W, Han Z. Weighted sum-rate maximization for cooperative multiceli multiuser massive MIMO systems based on discretized Pareto boundary approximation. In 2018 27th Wireless and Optical Communication Conference, WOCC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-5. (2018 27th Wireless and Optical Communication Conference, WOCC 2018). doi: 10.1109/WOCC.2018.8372690

Weighted sum-rate maximization for cooperative multiceli multiuser massive MIMO systems based on discretized Pareto boundary approximation

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this