TY - JOUR
T1 - Near-Field SWIPT With gMIMO in the Upper Mid-Band
T2 - Opportunities, Challenges, and the Way Forward
AU - Demir, Özlem Tuğfe
AU - Ozger, Mustafa
AU - Kara, Ferdi
AU - Lee, Woong Hee
AU - Björnson, Emil
N1 - Publisher Copyright:
© 2002-2012 IEEE.
PY - 2025
Y1 - 2025
N2 - This paper explores the integration of simultaneous wireless information and power transfer (SWIPT) with gigantic multiple-input multiple-output (gMIMO) technology operating in the upper mid-band frequency range (7–24 GHz). The near-field propagation achieved by gMIMO introduces unique opportunities for energy-efficient, high-capacity communication systems that cater to the demands of 6G wireless networks. Exploiting spherical wave propagation, near-field SWIPT with gMIMO enables precise energy and data delivery, enhancing spectral efficiency through beamfocusing and massive spatial multiplexing. This paper discusses theoretical principles, design challenges, and enabling solutions, including advanced channel estimation techniques, precoding strategies, and dynamic array configurations such as sparse and modular arrays. Through analytical insights and a case study, this paper demonstrates the feasibility of achieving optimized energy harvesting and data throughput in dense and dynamic environments. These findings contribute to advancing energy-autonomous Internet-of-Everything (IoE) deployments, smart factory networks, and other energy-autonomous applications aligned with the goals of next-generation wireless technologies.
AB - This paper explores the integration of simultaneous wireless information and power transfer (SWIPT) with gigantic multiple-input multiple-output (gMIMO) technology operating in the upper mid-band frequency range (7–24 GHz). The near-field propagation achieved by gMIMO introduces unique opportunities for energy-efficient, high-capacity communication systems that cater to the demands of 6G wireless networks. Exploiting spherical wave propagation, near-field SWIPT with gMIMO enables precise energy and data delivery, enhancing spectral efficiency through beamfocusing and massive spatial multiplexing. This paper discusses theoretical principles, design challenges, and enabling solutions, including advanced channel estimation techniques, precoding strategies, and dynamic array configurations such as sparse and modular arrays. Through analytical insights and a case study, this paper demonstrates the feasibility of achieving optimized energy harvesting and data throughput in dense and dynamic environments. These findings contribute to advancing energy-autonomous Internet-of-Everything (IoE) deployments, smart factory networks, and other energy-autonomous applications aligned with the goals of next-generation wireless technologies.
KW - 6G mobile communication
KW - Antenna arrays
KW - Energy harvesting
KW - Gigantic MIMO
KW - Intelligent sensors
KW - Production facilities
KW - Smart cities
KW - Smart manufacturing
KW - Space division multiplexing
KW - Spectral efficiency
KW - near-field
KW - simultaneous wireless information and power transfer
KW - upper mid-band frequencies
UR - https://www.scopus.com/pages/publications/105025680796
U2 - 10.1109/MWC.2025.3628536
DO - 10.1109/MWC.2025.3628536
M3 - Article
AN - SCOPUS:105025680796
SN - 1536-1284
JO - IEEE Wireless Communications
JF - IEEE Wireless Communications
ER -