Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/10766
Title: | Optimizing Reconfigurable Intelligent Surfaces for Short Transmissions: How Detailed Configurations Can Be Afforded? | Authors: | Enqvist, A. Demir, O.T. Cavdar, C. Bjornson, E. |
Keywords: | 6G Array signal processing discrete phase-shifts Energy consumption energy efficiency Finite element analysis Optimization Payloads phase-shift optimization Reconfigurable intelligent surface Signal to noise ratio subarrays Wireless communication Array processing Channel state information Data transfer Energy utilization Finite element method Signal to noise ratio 6g Array signal processing Discrete phase Discrete phase-shift Energy-consumption Finite element analyse Optimisations Payload Phase-shift optimization Reconfigurable Reconfigurable intelligent surface Subarray Wireless communications Energy efficiency |
Publisher: | Institute of Electrical and Electronics Engineers Inc. | Abstract: | This paper examines how to minimize the energy consumption of a user equipment (UE) when transmitting short data payloads. The receiving base station (BS) controls a reconfigurable intelligent surface (RIS), which requires additional pilot signals to be configured, to improve the channel conditions. The challenge is that the pilot signals increase the energy consumption and must be balanced against energy savings during data transmission. We derive a formula for the energy consumption, including both pilot and data transmission powers and the effects of imperfect channel state information and discrete phase-shifts. To shorten the pilot length, we propose dividing the RIS into subarrays of multiple elements using the same reflection coefficient. The pilot power and subarray size are tuned to the payload length to minimize the energy consumption. Analytical results show that there exists a unique energy-minimizing solution. For small payloads and when the direct path loss between the BS and UE is weak compared to the path loss via the RIS, the solution is using subarrays with many elements and low pilot power and vice versa. The optimal percentage of energy spent on pilot signaling is in the order of 10-40%. IEEE | URI: | https://doi.org/10.1109/TWC.2023.3307605 https://hdl.handle.net/20.500.11851/10766 |
ISSN: | 1536-1276 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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