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
Issue Date: 2023
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

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