A Broader Survey on 6G Radio Resource Management.

Area of Science:

• Telecommunications Engineering
• Wireless Communication Systems
• Network Resource Management

Background:

• Sixth-generation (6G) mobile networks are under development to exceed fifth-generation (5G) capabilities by 2030.
• 6G aims for enhanced scalability, security, reliability, and integration with artificial intelligence (AI).
• Key enabling technologies include cell-free (CF) architectures, 3D heterogeneous networks (3D HetNets), reconfigurable intelligent surfaces (RIS), and integrated sensing and communication (ISAC).

Purpose of the Study:

• To conduct a comprehensive literature review of radio resource management (RRM) in 6G cell-free and 3D HetNet systems.
• To identify and analyze current RRM techniques and challenges, particularly interference mitigation.
• To outline future trends and technologies shaping 6G RRM.

Main Methods:

• Systematic literature review of RRM approaches in 6G cell-free and 3D HetNet contexts.
• Taxonomy development for categorizing RRM techniques.
• Qualitative analysis of recent RRM methods, challenges, and future directions.

Main Results:

• Identified key challenges in 6G RRM, including interference mitigation in dense network environments.
• Presented a structured taxonomy of existing and emerging RRM techniques.
• Highlighted the critical role of AI/ML in optimizing RRM for 6G.

Conclusions:

• Effective RRM is crucial for achieving 6G's ambitious Quality of Service (QoS) targets, such as 1.0 Tbps data rates and 0.1 ms latency.
• Future research should focus on advanced RRM strategies for complex 6G network architectures.
• Continued innovation in RRM is essential for realizing the full potential of 6G communication systems.