User-centric base station clustering and resource allocation for cell-edge users in 6G ultra-dense networks

Yuhan Su, Zhibin Gao, Xiaojiang Du, Mohsen Guizani

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Ultra-Dense Networks (UDNs) have been proposed to meet the ultra-high system capacity and ultra-high user experience rate requirements of sixth generation (6G) mobile networks. However, ultra-dense base stations (BSs) deployment poses challenges for cell-edge users such as BS selection, severe interference, resource allocation, and inter-cell handover. To tackle these obstacles, this paper formulates a joint BS clustering and resource allocation problem for cell-edge users in a 6G heterogeneous UDN system. For efficient resolution, this problem is decoupled into two sub-problems to be solved independently. We first propose a user-centric BS clustering algorithm based on many-to-many matching for the BS clustering problem in the heterogeneous UDN system; This algorithm considers the constraint of the system capacity. A many-to-many stable matching between users and small cell BSs is constructed under the optimization objective of maximizing the achievable user rate. Furthermore, we analyze the effectiveness, stability, convergence, and complexity of the BS clustering algorithm. Given established small cell BS clusters, we also propose a user-centric resource allocation algorithm based on network partitioning. This algorithm accounts for the interference of all users in the heterogeneous UDN system and maximizes intra-sub-network interference while minimizing inter-sub-network interference via a spectral clustering-based sub-network partitioning algorithm. Next, orthogonal allocation of resource blocks (RBs) is implemented within each sub-network, and RBs are spatially multiplexed between sub-networks. Numerical results confirm the benefits of the proposed methods: our algorithms outperform benchmark solutions in terms of the sum achievable system rate, average achievable user rate, and user spectral efficiency.

Original languageEnglish
Pages (from-to)173-185
Number of pages13
JournalFuture Generation Computer Systems
Volume141
DOIs
StatePublished - Apr 2023

Keywords

  • 6G
  • BS clustering
  • Resource allocation
  • Spectral-clustering
  • Ultra-dense networks

Fingerprint

Dive into the research topics of 'User-centric base station clustering and resource allocation for cell-edge users in 6G ultra-dense networks'. Together they form a unique fingerprint.

Cite this