Energy-Efficient Stabilized Automatic Control for Multicore Baseband in Millimeter-Wave Systems

The fifth generation (5G) cellular network is upon us. Academia and Industry have intensively collaborated together to bring the power of 5G cellular networks to the masses, and now the 5G millimeterwave (mmWave) platforms come into being in the market. One of the most popular 5GmmWave platforms mou...

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Main Authors: Joongheon Kim, Jae-Jin Lee, Jong-Kook Kim, Woojoo Lee
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8014439/
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spelling doaj-642e2ac3ada2483fa03436d91293a3862021-03-29T20:05:39ZengIEEEIEEE Access2169-35362017-01-015165841659110.1109/ACCESS.2017.27416718014439Energy-Efficient Stabilized Automatic Control for Multicore Baseband in Millimeter-Wave SystemsJoongheon Kim0https://orcid.org/0000-0002-1794-6076Jae-Jin Lee1Jong-Kook Kim2Woojoo Lee3https://orcid.org/0000-0001-8847-5657School of Computer Science and Engineering, Chung-Ang University, Seoul, South KoreaElectronics and Telecommunications Research Institute, Daejeon, South KoreaSchool of Electrical Engineering, Korea University, Seoul, South KoreaDepartment of Electronic Engineering, Myongji University, Yongin, South KoreaThe fifth generation (5G) cellular network is upon us. Academia and Industry have intensively collaborated together to bring the power of 5G cellular networks to the masses, and now the 5G millimeterwave (mmWave) platforms come into being in the market. One of the most popular 5GmmWave platforms mounts the massive mmWave phased antenna arrays in order to transfer a huge number of bits in a second (e.g., more than ten gigabits-per-second) to the baseband in the platform. While exploiting chip multicore processors (CMPs) may be the best solution to process such huge data in the mmWave baseband platform, power dissipate by the CMPs should become critical. Starting from an intuition that utilizing all processors in every single time introduces inefficient energy consumption, this paper proposes an energy aware queue-stable control (EQC) algorithm to control the activation/deactivation of individual processors and antenna arrays for pursuing time average energy consumption minimization subject to the stability of queues in the 5G-mm Wave baseband. Results from intensive simulations based on realistic experimental setups demonstrate the efficacy of the proposed EQC that achieves significant energy savings while queue stability is maintained.https://ieeexplore.ieee.org/document/8014439/Millimeter-wavemulticore basebandchip multicore processor (CMP)dynamic control
collection DOAJ
language English
format Article
sources DOAJ
author Joongheon Kim
Jae-Jin Lee
Jong-Kook Kim
Woojoo Lee
spellingShingle Joongheon Kim
Jae-Jin Lee
Jong-Kook Kim
Woojoo Lee
Energy-Efficient Stabilized Automatic Control for Multicore Baseband in Millimeter-Wave Systems
IEEE Access
Millimeter-wave
multicore baseband
chip multicore processor (CMP)
dynamic control
author_facet Joongheon Kim
Jae-Jin Lee
Jong-Kook Kim
Woojoo Lee
author_sort Joongheon Kim
title Energy-Efficient Stabilized Automatic Control for Multicore Baseband in Millimeter-Wave Systems
title_short Energy-Efficient Stabilized Automatic Control for Multicore Baseband in Millimeter-Wave Systems
title_full Energy-Efficient Stabilized Automatic Control for Multicore Baseband in Millimeter-Wave Systems
title_fullStr Energy-Efficient Stabilized Automatic Control for Multicore Baseband in Millimeter-Wave Systems
title_full_unstemmed Energy-Efficient Stabilized Automatic Control for Multicore Baseband in Millimeter-Wave Systems
title_sort energy-efficient stabilized automatic control for multicore baseband in millimeter-wave systems
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2017-01-01
description The fifth generation (5G) cellular network is upon us. Academia and Industry have intensively collaborated together to bring the power of 5G cellular networks to the masses, and now the 5G millimeterwave (mmWave) platforms come into being in the market. One of the most popular 5GmmWave platforms mounts the massive mmWave phased antenna arrays in order to transfer a huge number of bits in a second (e.g., more than ten gigabits-per-second) to the baseband in the platform. While exploiting chip multicore processors (CMPs) may be the best solution to process such huge data in the mmWave baseband platform, power dissipate by the CMPs should become critical. Starting from an intuition that utilizing all processors in every single time introduces inefficient energy consumption, this paper proposes an energy aware queue-stable control (EQC) algorithm to control the activation/deactivation of individual processors and antenna arrays for pursuing time average energy consumption minimization subject to the stability of queues in the 5G-mm Wave baseband. Results from intensive simulations based on realistic experimental setups demonstrate the efficacy of the proposed EQC that achieves significant energy savings while queue stability is maintained.
topic Millimeter-wave
multicore baseband
chip multicore processor (CMP)
dynamic control
url https://ieeexplore.ieee.org/document/8014439/
work_keys_str_mv AT joongheonkim energyefficientstabilizedautomaticcontrolformulticorebasebandinmillimeterwavesystems
AT jaejinlee energyefficientstabilizedautomaticcontrolformulticorebasebandinmillimeterwavesystems
AT jongkookkim energyefficientstabilizedautomaticcontrolformulticorebasebandinmillimeterwavesystems
AT woojoolee energyefficientstabilizedautomaticcontrolformulticorebasebandinmillimeterwavesystems
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