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Spectrum Coexistence, Network Dimensioning, and Cell-Free Architectures in 5G and 5G-Advanced Wireless Networks

Siminfar Samakoush Galougah

TL;DR

This survey addresses the integration of spectrum coexistence, network dimensioning, and cell-free architectures in 5G and beyond by presenting a cross-layer analysis that links RF emission constraints, stochastic geometry-based planning, and fronthaul-limited distributed processing. It develops a unified taxonomy across topics including ACLR/ACS/ACIR, TDD cross-link interference, and CBRS-adjacent scenarios, and analyzes dimensioning via a stochastic geometry framework with multi-class PPPs and radial partitioning, yielding closed-form expressions for $m=\mathbb{E}[S]$ and $v=\mathrm{Var}(S)$. The work further examines fronthaul-aware user management and processing (CFE/ECF/EMCF) in cell-free MIMO, and evaluates power-control strategies under limited fronthaul, highlighting how fronthaul splits and UC association shape performance for sum-SE and max-min objectives. Open challenges include joint optimization, learning-based methods, mobility-aware modeling, and directions toward 5G-Advanced and 6G, where ultra-dense, AI-native networks and integrated sensing will drive new coexistence and transport constraints. Overall, the paper provides a principled framework for designing and optimizing coexisting spectrum, distributed architectures, and resource allocation in future wireless systems, with explicit mathematical constructs such as ACIR, $N_i(x)$, and the SINR expressions under fronthaul effects.

Abstract

Fifth-generation (5G) wireless networks introduce new architectural paradigms, spectrum usage models, and optimization challenges to support enhanced mobile broadband, massive machine-type communications, and ultra-reliable low-latency communications. This survey provides a comprehensive overview of key technologies and design challenges in 5G systems, with a focus on spectrum coexistence and interference management, network dimensioning and planning, cell-free massive MIMO architectures, fronthaul-aware user management, and power allocation strategies. Representative analytical, simulation-based, and optimization-driven approaches are reviewed, fundamental trade-offs are highlighted, and open research challenges relevant to 5G-Advanced and beyond are identified.

Spectrum Coexistence, Network Dimensioning, and Cell-Free Architectures in 5G and 5G-Advanced Wireless Networks

TL;DR

This survey addresses the integration of spectrum coexistence, network dimensioning, and cell-free architectures in 5G and beyond by presenting a cross-layer analysis that links RF emission constraints, stochastic geometry-based planning, and fronthaul-limited distributed processing. It develops a unified taxonomy across topics including ACLR/ACS/ACIR, TDD cross-link interference, and CBRS-adjacent scenarios, and analyzes dimensioning via a stochastic geometry framework with multi-class PPPs and radial partitioning, yielding closed-form expressions for and . The work further examines fronthaul-aware user management and processing (CFE/ECF/EMCF) in cell-free MIMO, and evaluates power-control strategies under limited fronthaul, highlighting how fronthaul splits and UC association shape performance for sum-SE and max-min objectives. Open challenges include joint optimization, learning-based methods, mobility-aware modeling, and directions toward 5G-Advanced and 6G, where ultra-dense, AI-native networks and integrated sensing will drive new coexistence and transport constraints. Overall, the paper provides a principled framework for designing and optimizing coexisting spectrum, distributed architectures, and resource allocation in future wireless systems, with explicit mathematical constructs such as ACIR, , and the SINR expressions under fronthaul effects.

Abstract

Fifth-generation (5G) wireless networks introduce new architectural paradigms, spectrum usage models, and optimization challenges to support enhanced mobile broadband, massive machine-type communications, and ultra-reliable low-latency communications. This survey provides a comprehensive overview of key technologies and design challenges in 5G systems, with a focus on spectrum coexistence and interference management, network dimensioning and planning, cell-free massive MIMO architectures, fronthaul-aware user management, and power allocation strategies. Representative analytical, simulation-based, and optimization-driven approaches are reviewed, fundamental trade-offs are highlighted, and open research challenges relevant to 5G-Advanced and beyond are identified.
Paper Structure (58 sections, 19 equations, 4 figures, 3 tables)

This paper contains 58 sections, 19 equations, 4 figures, 3 tables.

Table of Contents

  1. Introduction
  2. Motivation
  3. Contributions
  4. Organization
  5. 5G Architecture and Spectrum Overview
  6. 5G Network Architecture
  7. Centralized architectures.
  8. Distributed architectures.
  9. Cloud-native and virtualized architectures.
  10. Spectrum Allocation and Deployment Scenarios
  11. Low-band spectrum ($<1$ GHz).
  12. Mid-band spectrum (1--6 GHz).
  13. Millimeter-wave (mmWave) spectrum ($>24$ GHz).
  14. Licensed, unlicensed, and shared spectrum.
  15. Deployment heterogeneity.
  16. ...and 43 more sections

Figures (4)

  • Figure 1: Cross-layer structure of the survey, highlighting the coupling between spectrum coexistence, spatial network modeling, architectural design, and fronthaul-aware resource optimization in 5G and 5G-Advanced networks.
  • Figure 2: Conceptual illustration of adjacent-band coexistence under TDD operation. Aligned UL--UL frames are dominated by UE-driven interference, while conflicting UL--DL frames lead to strong BS-driven cross-link interference.
  • Figure 3: Stochastic-geometry-based network dimensioning model. Randomly located users generate spatially dependent subcarrier demand, leading to a random aggregate load whose tail probability characterizes overload events.
  • Figure 4: Fully cell-free and user-centric (UC) architectures under the same physical deployment. UC can be interpreted as a sparsified serving graph of the fully cell-free model, reducing signaling and fronthaul load under per-AP capacity constraints $C_m$.