Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

Power Allocation in Massive MIMO System with Energy Harvesting Base Station

Authors
Guomin Li, Ning Li, Lihua Pang
Corresponding Author
Guomin Li
Available Online April 2019.
DOI
https://doi.org/10.2991/icmeit-19.2019.101How to use a DOI?
Keywords
energy harvesting; Massive MIMO; downlink system; power optimization.
Abstract
This paper studies a resource allocation method based on power optimization for single-cell multi-user downlink Massive MIMO wireless communication system with energy harvesting function. The proposed method uses a ZF precede for precoding. Under the premise that the non-causal knowledge of the energy harvesting process is available, the base station only uses renewable energy to provide the energy required for the system to operate. The relationship between power and system throughput is derived with consideration of both battery capacity constraints and energy causal constraints. Through the Varangian dual method, resource utilization is optimized. The simulation results show that the proposed algorithm tends to converge with fewer iterations.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
Part of series
Advances in Computer Science Research
Publication Date
April 2019
ISBN
978-94-6252-708-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-19.2019.101How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Guomin Li
AU  - Ning Li
AU  - Lihua Pang
PY  - 2019/04
DA  - 2019/04
TI  - Power Allocation in Massive MIMO System with Energy Harvesting Base Station
BT  - 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.101
DO  - https://doi.org/10.2991/icmeit-19.2019.101
ID  - Li2019/04
ER  -