CGN: A Capacity-Guaranteed Network Architecture for Future Ultra-Dense Wireless Systems

TL;DR

This paper introduces a capacity-guaranteed network (CGN) architecture for 6G wireless systems that ensures high capacity, scalability, and low overhead by clustering networks into equal capacity segments, outperforming existing methods.

Contribution

The paper proposes a novel CGN architecture with a theoretical foundation for network clustering that guarantees capacity and improves performance over traditional clustering methods.

Findings

CGN achieves at least 30% higher minimum cluster capacity compared to existing architectures.

Theoretical proof shows CGN's general applicability across different network distributions.

Simulation results confirm CGN's scalability and efficiency in dense wireless environments.

Abstract

The sixth generation (6G) era is envisioned to be a fully intelligent and autonomous era, with physical and digital lifestyles merged together. Future wireless network architectures should provide a solid support for such new lifestyles. A key problem thus arises that what kind of network architectures are suitable for 6G. In this paper, we propose a capacity-guaranteed network (CGN) architecture, which provides high capacity for wireless devices densely distributed everywhere, and ensures a superior scalability with low signaling overhead and computation complexity simultaneously. Our theorem proves that the essence of a CGN architecture is to decompose the whole network into non-overlapping clusters with equal cluster sum capacity. Simulation results reveal that in terms of the minimum cluster sum capacity, the proposed CGN can achieve at least 30% performance gain compared with existing base station clustering (BS-clustering) architectures. In addition, our theorem is sufficiently general and can be applied for networks with different distributions of BSs and users.