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Active RIS Deployment Design and Its Detailed Optimal Solution under Overall Power Constraint

  • Wenjun Jiao
  • , Wei Duan
  • , Shuping Dang
  • , Limei Peng
  • , Wael Bazzi
  • , Shahid Mumtaz
  • , Pin Han Ho
  • Nantong University
  • University of Bristol
  • American University in Dubai
  • Nottingham Trent University
  • University of Electronic Science and Technology of China
  • University of Waterloo

Research output: Contribution to journalArticlepeer-review

Abstract

In this correspondence, we comprehensively study the optimal active reconfigurable intelligent surface (ARIS) deployment, aiming to address the open issue of its deployment details. For practical consideration, the overall power constraint is introduced into ARIS-assisted communications, including the transmit power at base station (BS) and amplifying power for signal reflection at ARIS. To better clarify the influence of ARIS deployment and power allocation on the achievable capacity, we first optimize the power allocation between BS and ARIS, then analyze the ARIS position. Subsequently, regarding to two dependent variables, an effective alternating optimization algorithm is further investigated to obtain the optimal amplifying factor of ARIS. Finally, simulation and numerical results confirming the correctness of our analysis, conclude that, when the amplifying power of ARIS is large, ARIS should be deployed close to BS to achieve a better capacity, and vice versa.

Original languageEnglish
Pages (from-to)8735-8740
Number of pages6
JournalIEEE Transactions on Vehicular Technology
Volume75
Issue number5
DOIs
StatePublished - 1 May 2026

Keywords

  • ARIS deployment
  • Overall power constraint
  • achievable rate
  • amplifying factor
  • power allocation

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