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In-network angle approximation for supporting adaptive beamforming

Published: 06 December 2022 Publication History

Abstract

There is a great interest in utilizing P4 for in-network computing along with programmable data planes. This use is emerging as a new network paradigm that can not just reduce the complexity but the delay as well. Beamforming is now an integral feature of modern wireless communication systems and its implementation calls for an accurate beam alignment by estimating the direction of signal arrival. However, this estimation is computationally complex, especially in a dynamic environment where a user is constantly on the move. In this paper, we propose a user-assisted in-network method to optimally approximate the angle of arrival by segmenting the cell area into an exponentially binned grid and make use of the advantages offered by programmable data planes and their match-action table (MAT) logic. The method expects location messages periodically reported by user equipment, processes them in the network and reconfigures the base station antennas accordingly, implementing user-assisted in-network beam control. The proposed method is implemented in P4 and runs on a Tofino ASIC. Our evaluation proves a theoretical bound on the absolute error of the proposed MAT-based angle approximation and shows that it is in accordance with the empirical error distributions. Moreover, there is no significant increase in errors attributed to the latency of various control cycle times (less than 100ms) and the user's movement at moderate speeds (of less than 90km/h.) We also show that the resource usage is only affected by the size of the TCAM table used to store the angle approximation values and that the proposed method has no significant per-stage resource usage on the pipeline.

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Cited By

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  • (2024)L3Geocast: Enabling P4-Based Customizable Network-Layer Geocast at the Network EdgeIEEE Transactions on Mobile Computing10.1109/TMC.2023.334593323:8(8323-8340)Online publication date: Aug-2024
  • (2024)Sub-6 GHz beamforming with low-cost software-defined radio: Design, testing, and performance evaluationPhysical Communication10.1016/j.phycom.2024.10239165(102391)Online publication date: Aug-2024
  • (2023)Programmable Data Plane Applications in 5G and Beyond Architectures: A Systematic ReviewSensors10.3390/s2315695523:15(6955)Online publication date: 4-Aug-2023

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        cover image ACM Conferences
        EuroP4 '22: Proceedings of the 5th International Workshop on P4 in Europe
        December 2022
        154 pages
        ISBN:9781450399357
        DOI:10.1145/3565475
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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        Publication History

        Published: 06 December 2022

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        Author Tags

        1. 5G
        2. P4
        3. beamforming
        4. in-network computing

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        • National Research, Development and Innovation Office ? NKFIH
        • SICSA Saltire Emerging Researcher Scheme

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        View all
        • (2024)L3Geocast: Enabling P4-Based Customizable Network-Layer Geocast at the Network EdgeIEEE Transactions on Mobile Computing10.1109/TMC.2023.334593323:8(8323-8340)Online publication date: Aug-2024
        • (2024)Sub-6 GHz beamforming with low-cost software-defined radio: Design, testing, and performance evaluationPhysical Communication10.1016/j.phycom.2024.10239165(102391)Online publication date: Aug-2024
        • (2023)Programmable Data Plane Applications in 5G and Beyond Architectures: A Systematic ReviewSensors10.3390/s2315695523:15(6955)Online publication date: 4-Aug-2023

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