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A QoS-Adaptive Interference Alignment Technique for In-Band Full-Duplex Multi-Antenna Cellular Networks.

Ki-Hun Lee1, Gyudong Park2, Bang Chul Jung1

  • 1Department of Electronics Engineering, Chungnam National University, Daejeon 34134, Republic of Korea.

Sensors (Basel, Switzerland)
|December 11, 2022
PubMed
Summary
This summary is machine-generated.

We introduce a new interference alignment technique for in-band full-duplex MIMO cellular networks. This method effectively reduces cross-link interference, enhancing data rates compared to traditional half-duplex systems.

Keywords:
cross-link interference (CLI)degrees-of-freedom (DoF)in-band full-duplex (IBFD) cellular networksinterference alignment (IA)

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Area of Science:

  • Wireless communication networks
  • Signal processing for wireless communications
  • Information theory

Background:

  • In-band full-duplex (IBFD) technology enables simultaneous transmission and reception.
  • Existing IBFD MIMO cellular networks face cross-link interference (CLI) challenges.
  • Half-duplex (HD) systems have limitations in spectral efficiency.

Purpose of the Study:

  • To propose a novel interference alignment (IA) technique for IBFD MIMO cellular networks.
  • To mitigate cross-link interference (CLI) in networks with a full-duplex base station and half-duplex user equipment.
  • To adapt the IA schemes based on quality-of-service (QoS) requirements.

Main Methods:

  • Development of two symmetric IA schemes tailored to antenna configurations.
  • Theoretical characterization and proof of achievable sum-degrees-of-freedom (DoF).
  • Adaptive application of IA schemes based on uplink and downlink traffic demands.

Main Results:

  • The proposed IA technique effectively mitigates CLI in IBFD MIMO networks.
  • Achievable sum-degrees-of-freedom (DoF) is theoretically proven.
  • Simulation results demonstrate significant sum rate improvement over conventional HD multi-user MIMO.

Conclusions:

  • The novel IA technique offers a viable solution for enhancing performance in IBFD MIMO cellular networks.
  • The proposed method achieves performance comparable to interference-free IBFD MIMO systems.
  • Adaptive IA schemes provide flexibility to meet diverse QoS demands.