A resource allocation scheme with excellent energy efficiency based on the channel matrix sparse

Ximu Zhang; Xiaofeng Liu; Haitao Wang; Zhihui Liu; Min Jia

doi:10.1007/978-981-10-6571-2_325

A resource allocation scheme with excellent energy efficiency based on the channel matrix sparse

Ximu Zhang
, Xiaofeng Liu
, Haitao Wang
, Zhihui Liu
, Min Jia^*

^*Corresponding author for this work

School of Electronics and Information Engineering

State Key Laboratory of Space–Ground Integrated Information
Harbin Institute of Technology

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

Abstract

This paper introduces a C-RAN scenario which is overlapping covered with the macrocell, residential microcells, office microcells under different activeness. Due to the large scare-fading in the urban environment, the signal to interference and noise ratio (SINR) between some offices and the family micro base stations are too small to care. Therefore, some interference between micro base stations and user are not considerable. In order to improve the energy efficiency in the CoMP process, this paper presents selective beamforming with channel matrix sparse algorithm. This algorithm greatly reduces the complexity of matrix inversion calculation during beamforming and improves the energy efficiency of the system. Simulation results show that the proposed algorithm can effectively reduce the energy consumption of the baseband and improve the energy efficiency of the system.

Original language	English
Title of host publication	Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems
Editors	Qilian Liang, Min Jia, Jiasong Mu, Wei Wang, Xuhong Feng, Baoju Zhang
Publisher	Springer Verlag
Pages	2686-2693
Number of pages	8
ISBN (Print)	9789811065705
DOIs	https://doi.org/10.1007/978-981-10-6571-2_325
State	Published - 2019
Event	6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017 - Harbin, China Duration: 14 Jul 2017 → 16 Jul 2017

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	463
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017
Country/Territory	China
City	Harbin
Period	14/07/17 → 16/07/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Channel matrix sparse
Cooperative transmission
Energy efficiency
Heterogeneous cloud-based radio access network
Selective beam-forming

Access to Document

10.1007/978-981-10-6571-2_325

Cite this

Zhang, X., Liu, X., Wang, H., Liu, Z., & Jia, M. (2019). A resource allocation scheme with excellent energy efficiency based on the channel matrix sparse. In Q. Liang, M. Jia, J. Mu, W. Wang, X. Feng, & B. Zhang (Eds.), Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems (pp. 2686-2693). (Lecture Notes in Electrical Engineering; Vol. 463). Springer Verlag. https://doi.org/10.1007/978-981-10-6571-2_325

Zhang, Ximu ; Liu, Xiaofeng ; Wang, Haitao et al. / A resource allocation scheme with excellent energy efficiency based on the channel matrix sparse. Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems. editor / Qilian Liang ; Min Jia ; Jiasong Mu ; Wei Wang ; Xuhong Feng ; Baoju Zhang. Springer Verlag, 2019. pp. 2686-2693 (Lecture Notes in Electrical Engineering).

@inproceedings{75efe3a586584c569e7cbcfb21ce961d,

title = "A resource allocation scheme with excellent energy efficiency based on the channel matrix sparse",

abstract = "This paper introduces a C-RAN scenario which is overlapping covered with the macrocell, residential microcells, office microcells under different activeness. Due to the large scare-fading in the urban environment, the signal to interference and noise ratio (SINR) between some offices and the family micro base stations are too small to care. Therefore, some interference between micro base stations and user are not considerable. In order to improve the energy efficiency in the CoMP process, this paper presents selective beamforming with channel matrix sparse algorithm. This algorithm greatly reduces the complexity of matrix inversion calculation during beamforming and improves the energy efficiency of the system. Simulation results show that the proposed algorithm can effectively reduce the energy consumption of the baseband and improve the energy efficiency of the system.",

keywords = "Channel matrix sparse, Cooperative transmission, Energy efficiency, Heterogeneous cloud-based radio access network, Selective beam-forming",

author = "Ximu Zhang and Xiaofeng Liu and Haitao Wang and Zhihui Liu and Min Jia",

note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Singapore Pte Ltd.; 6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017 ; Conference date: 14-07-2017 Through 16-07-2017",

year = "2019",

doi = "10.1007/978-981-10-6571-2\_325",

language = "英语",

isbn = "9789811065705",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Verlag",

pages = "2686--2693",

editor = "Qilian Liang and Min Jia and Jiasong Mu and Wei Wang and Xuhong Feng and Baoju Zhang",

booktitle = "Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems",

address = "德国",

}

Zhang, X, Liu, X, Wang, H, Liu, Z & Jia, M 2019, A resource allocation scheme with excellent energy efficiency based on the channel matrix sparse. in Q Liang, M Jia, J Mu, W Wang, X Feng & B Zhang (eds), Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol. 463, Springer Verlag, pp. 2686-2693, 6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017, Harbin, China, 14/07/17. https://doi.org/10.1007/978-981-10-6571-2_325

A resource allocation scheme with excellent energy efficiency based on the channel matrix sparse. / Zhang, Ximu; Liu, Xiaofeng; Wang, Haitao et al.
Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems. ed. / Qilian Liang; Min Jia; Jiasong Mu; Wei Wang; Xuhong Feng; Baoju Zhang. Springer Verlag, 2019. p. 2686-2693 (Lecture Notes in Electrical Engineering; Vol. 463).

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

TY - GEN

T1 - A resource allocation scheme with excellent energy efficiency based on the channel matrix sparse

AU - Zhang, Ximu

AU - Liu, Xiaofeng

AU - Wang, Haitao

AU - Liu, Zhihui

AU - Jia, Min

PY - 2019

Y1 - 2019

N2 - This paper introduces a C-RAN scenario which is overlapping covered with the macrocell, residential microcells, office microcells under different activeness. Due to the large scare-fading in the urban environment, the signal to interference and noise ratio (SINR) between some offices and the family micro base stations are too small to care. Therefore, some interference between micro base stations and user are not considerable. In order to improve the energy efficiency in the CoMP process, this paper presents selective beamforming with channel matrix sparse algorithm. This algorithm greatly reduces the complexity of matrix inversion calculation during beamforming and improves the energy efficiency of the system. Simulation results show that the proposed algorithm can effectively reduce the energy consumption of the baseband and improve the energy efficiency of the system.

AB - This paper introduces a C-RAN scenario which is overlapping covered with the macrocell, residential microcells, office microcells under different activeness. Due to the large scare-fading in the urban environment, the signal to interference and noise ratio (SINR) between some offices and the family micro base stations are too small to care. Therefore, some interference between micro base stations and user are not considerable. In order to improve the energy efficiency in the CoMP process, this paper presents selective beamforming with channel matrix sparse algorithm. This algorithm greatly reduces the complexity of matrix inversion calculation during beamforming and improves the energy efficiency of the system. Simulation results show that the proposed algorithm can effectively reduce the energy consumption of the baseband and improve the energy efficiency of the system.

KW - Channel matrix sparse

KW - Cooperative transmission

KW - Energy efficiency

KW - Heterogeneous cloud-based radio access network

KW - Selective beam-forming

UR - https://www.scopus.com/pages/publications/85048675794

U2 - 10.1007/978-981-10-6571-2_325

DO - 10.1007/978-981-10-6571-2_325

M3 - 会议稿件

AN - SCOPUS:85048675794

SN - 9789811065705

T3 - Lecture Notes in Electrical Engineering

SP - 2686

EP - 2693

BT - Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems

A2 - Liang, Qilian

A2 - Jia, Min

A2 - Mu, Jiasong

A2 - Wang, Wei

A2 - Feng, Xuhong

A2 - Zhang, Baoju

PB - Springer Verlag

T2 - 6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017

Y2 - 14 July 2017 through 16 July 2017

ER -

Zhang X, Liu X, Wang H, Liu Z, Jia M. A resource allocation scheme with excellent energy efficiency based on the channel matrix sparse. In Liang Q, Jia M, Mu J, Wang W, Feng X, Zhang B, editors, Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems. Springer Verlag. 2019. p. 2686-2693. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-10-6571-2_325

A resource allocation scheme with excellent energy efficiency based on the channel matrix sparse

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this