RIS-ASSISTED UAV-ENABLED CELL-FREE MASSIVE MIMO SYSTEMS FOR 6G WIRELESS COMMUNICATION

Authors

  • Farhan Siddiqui
  • Adil Ali Raja
  • Muhammad Sohail Shehzad
  • Rana Saqib Saeed
  • Syed Kamran Hussain Shah
  • Muhammad Yaseen
  • Imran Fareed Nizami
  • Amer Bilal Mann

Keywords:

6G Wireless Communications, Cell-Free Massive MIMO, Unmanned Aerial Vehicles, Reconfigurable Intelligent Surfaces, Trajectory Optimization, Energy Efficiency, Physical layer Security.

Abstract

The sixth-generation wireless networks are anticipated to provide ultra-reliable low latency communication, massive connectivity, high spectral efficiency, better energy performance, and seamless service availability in terrestrial, aerial and remote environments. To fulfill these requirements, recent works have been increasingly focused on integrating reconfigurable intelligent surfaces, unmanned aerial vehicles and cell-free massive multiple-input multiple-output architectures. Reconfigurable intelligent surfaces offer programmable control over the wireless propagation environment, unmanned aerial vehicles provide flexible 3D deployment and fast coverage extension, and cell-free massive MIMO improves user-centric service by coordinating distributed access points without rigid cell boundaries. This survey provides a structured overview of RIS-assisted UAV-enabled cell-free massive MIMO systems for 6G wireless communications. It covers enabling technologies, system architectures, channel modeling, UAV trajectory optimization, RIS phase configuration, resource allocation, energy and spectral efficiency, physical layer security, scalability, and practical deployment issues. The study also compares recent approaches based on performance objectives, optimization methods, application domains and implementation constraints. The review shows that the combined use of RIS, UAVs and cell-free massive MIMO can significantly improve coverage, reliability, interference management and energy-aware operation, particularly in scenarios susceptible to blockage or highly mobile or with limited infrastructure. However, imperfect channel state information, RIS hardware impairments, UAV battery constraints, synchronization overhead, high computational complexity, security risks, and lack of mature standardization still hinder the practical deployment. Based on the review of the literature, future research directions include lightweight channel estimation, AI-assisted joint optimization, energy-efficient UAV control, secure RIS configuration, multi-UAV coordination, experimental testbeds, and interoperable protocols. In summary, the RIS-assisted UAV-enabled cell-free massive MIMO is a promising architecture which is still evolving to achieve flexible, intelligent and scalable 6G wireless networks.

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Published

2026-06-15

How to Cite

Farhan Siddiqui, Adil Ali Raja, Muhammad Sohail Shehzad, Rana Saqib Saeed, Syed Kamran Hussain Shah, Muhammad Yaseen, Imran Fareed Nizami, & Amer Bilal Mann. (2026). RIS-ASSISTED UAV-ENABLED CELL-FREE MASSIVE MIMO SYSTEMS FOR 6G WIRELESS COMMUNICATION. Spectrum of Engineering Sciences, 4(6), 1547–1593. Retrieved from https://thesesjournal.com/index.php/1/article/view/3234