Spectrum-Energy-Economy Efficiency Analysis of B5G Wireless Communication Systems with Separated Indoor/Outdoor Scenarios

Yu Fu, Cheng-Xiang Wang, Xichen Mao, Jie Huang, Zijun Zhao, Stephen McLaughlin

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Abstract

In this paper, we study the spectrum efficiency (SE), energy efficiency (EE), and economic efficiency (ECE) for a heterogeneous cellular architecture that separates the indoor and outdoor scenarios for beyond 5G (B5G) wireless communication systems. For outdoor scenarios, massive multiple-input-multiple-output (MIMO) technologies and distributed antenna systems (DASs) at sub-6 GHz frequency bands are used for long-distance communications. For indoor scenarios, millimeter-wave (mmWave) and beamforming communication technologies are deployed at wireless indoor access points (IAPs) to provide high-speed short-range services to indoor users. Mathematical expressions for the system capacity, SE, EE, and ECE are derived using a proposed realistic power consumption model. The results shed light on the fact that the proposed network architecture is able to improve SE and EE by more than three times compared to those conventional network architectures. The analysis of system performance in terms of SE, EE, ECE, and their trade-off results in the observation that the proposed network architecture offers a promising solution for future B5G communication systems.
Original languageEnglish
Pages (from-to)9718-9731
Number of pages14
JournalIEEE Transactions on Wireless Communications
Volume22
Issue number12
Early online date11 May 2023
DOIs
Publication statusPublished - Dec 2023

Keywords

  • Applied Mathematics
  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Network architecture
  • Millimeter wave communication
  • Relays
  • mmWave
  • Wireless communication
  • B5G
  • Computer architecture
  • energy efficiency
  • Massive MIMO
  • spectrum efficiency
  • economy efficiency
  • massive-MIMO
  • Antenna arrays

ASJC Scopus subject areas

  • Applied Mathematics
  • Electrical and Electronic Engineering
  • Computer Science Applications

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