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

Joongheon Kim, Jae Jin Lee, Jong Kook Kim, Woojoo Lee

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


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 millimeter-wave (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-mmWave 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.

Original languageEnglish
Article number8014439
Pages (from-to)16584-16591
Number of pages8
JournalIEEE Access
Publication statusPublished - 2017 Aug 22


  • Millimeter-wave
  • chip multicore processor (CMP)
  • dynamic control
  • multicore baseband

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)


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