TY - CHAP
T1 - Optimization of Beamforming Matrix Design for Multi-Cell MIMO with SWIPT Systems
AU - Ariffin, Wan Nur Suryani Firuz Wan
AU - Nakhai, Mohammad Reza
AU - Zakaria, Hasneeza Liza
AU - Mohd Hashim, Nur Baya
AU - Md Zain, Aini Syuhada
N1 - Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2020/12/11
Y1 - 2020/12/11
N2 - Energy harvesting is emerging as a promising new solution to provide continuous energy supplies to wireless rechargeable devices. This paper investigates wireless information and energy transfer in multi-cell multiple-input-multiple-output (MIMO) systems. An optimisation problem that designs the beamforming matrix is introduced to maximise the sum of total harvested energy collected from all energy receiving terminals while guaranteeing the desired data rate for each information receiving terminal remains above a certain level. Total power constraint at each transmitting terminal that was generated from the renewable energy and purchased from the grid is also considered. The channel capacity that requires the use of slower and less reliable CVX's successive approximation heuristic is formulated, and then, the non-convex problem is transformed into a convex problem form modelled by a semidefinite relaxation (SDR). The results show the effectiveness of the multiple antennas used in all cells provide better performance and also maximise the total harvested energy at all energy receiving terminals.
AB - Energy harvesting is emerging as a promising new solution to provide continuous energy supplies to wireless rechargeable devices. This paper investigates wireless information and energy transfer in multi-cell multiple-input-multiple-output (MIMO) systems. An optimisation problem that designs the beamforming matrix is introduced to maximise the sum of total harvested energy collected from all energy receiving terminals while guaranteeing the desired data rate for each information receiving terminal remains above a certain level. Total power constraint at each transmitting terminal that was generated from the renewable energy and purchased from the grid is also considered. The channel capacity that requires the use of slower and less reliable CVX's successive approximation heuristic is formulated, and then, the non-convex problem is transformed into a convex problem form modelled by a semidefinite relaxation (SDR). The results show the effectiveness of the multiple antennas used in all cells provide better performance and also maximise the total harvested energy at all energy receiving terminals.
KW - Beamforming
KW - energy harvesting
KW - MU-MIMO
KW - simultaneous wireless information and power transfer (SWIPT)
UR - http://www.scopus.com/inward/record.url?scp=85100330243&partnerID=8YFLogxK
U2 - 10.1109/ICSPC50992.2020.9305793
DO - 10.1109/ICSPC50992.2020.9305793
M3 - Conference paper
AN - SCOPUS:85100330243
T3 - Proceeding - 2020 IEEE 8th Conference on Systems, Process and Control, ICSPC 2020
SP - 31
EP - 36
BT - Proceeding - 2020 IEEE 8th Conference on Systems, Process and Control, ICSPC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE Conference on Systems, Process and Control, ICSPC 2020
Y2 - 11 December 2020 through 12 December 2020
ER -
