Cloud-BSS: Joint intra- and inter-Cluster interference cancellation in uplink 5G cellular networks

Abolfazl Hajisami, Dario Pompili

Research output: Contribution to journalArticlepeer-review

Abstract

Coordinated Multi-Point (CoMP) processing is a promising method to cancel the intra-cluster interference, to improve the average Signal-to-Interference-plus-Noise Ratio (SINR), and to increase the system spectral efficiency. Such a method, however, cannot mitigate the inter-cluster interference, which leads to a poor capacity performance for cluster-edge Mobile Stations (MSs). Moreover, the additional overhead and processing required for multiple-site reception/transmission among different Base Stations (BSs) adds delay and limits the cluster size. In this article, we detail the challenges and problems of CoMP and propose an innovative Blind Source Separation (BSS)-aided solution, called Cloud-BSS, to address those problems. In the proposed solution, we leverage the centralized characteristic of Cloud Radio Access Networks (C-RANs) as well as the complementary advantages of CoMP and BSS to decrease both intra- and inter-cluster interference. Specifically, we study the performance of BSS under different network topologies and show that its performance highly depends on the mixing matrix. Then, we propose to use CoMP to reject the intra-cluster interference so as to make the overall mixing matrix diagonal dominant, which allows to use BSS in order to reject the inter-cluster interference. Thorough Monte Carlo computer simulations, we confirm the validity of our analysis and show the benefits of this novel uplink solution.

Original languageEnglish (US)
Pages (from-to)180-190
Number of pages11
JournalComputer Networks
Volume147
DOIs
StatePublished - Dec 24 2018

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Keywords

  • 5G Wireless Cellular Networks
  • Blind source separation
  • Cloud Radio Access Network
  • Coordinated multi-Point processing
  • Interference cancellation

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