Nonlinear Self-Interference Cancellation for Full-Duplex Radios: From Link-Level and System-Level Performance Perspectives

Min Soo Sim, Minkeun Chung, Dongkyu Kim, Jaehoon Chung, Dong Ku Kim, Chan Byoung Chae

Research output: Contribution to journalArticle

51 Citations (Scopus)

Abstract

One of the promising technologies for Long Term Evolution is full-duplex radio, an innovation that is expected to double spectral efficiency. To realize full-duplex in practice, the main challenge is overcoming self-interference, and to do so, researchers have developed self-interference cancellation techniques. Since most wireless transceivers use power amplifiers, especially in cellular systems, researchers have revealed the importance of nonlinear self-interference cancellation. In this article, we first explore several nonlinear digital self-interference cancellation techniques. We then propose a low-complexity pre-calibration- based nonlinear digital self-interference cancellation technique. Next, we discuss the issues about reference signal allocation and the overhead of each technique. For performance evaluations, we carry out extensive measurements through a real-time prototype and link-/system-level simulations. For link-level analysis, we measure the amount of cancelled self-interference for each technique. We also evaluate system-level performance through 3D ray-tracing-based simulations. Numerical results confirm the significant performance improvement over a half-duplex system even in interference-limited indoor environments.

Original languageEnglish
Article number7956006
Pages (from-to)158-167
Number of pages10
JournalIEEE Communications Magazine
Volume55
Issue number9
DOIs
Publication statusPublished - 2017 Jun 22

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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