Cyclic interference alignment for full-duplex multi-antenna cellular networks

Wonjae Shin, Jong Bu Lim, Hyun Ho Choi, Jungwoo Lee, H. Vincent Poor

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


This paper studies full-duplex (FD) cellular networks in which a base station (BS) operated in FD mode with multiple antennas supports multiple uplink and downlink users simultaneously in the same wireless channel. Two typical FD cellular scenarios are considered, one with half-duplex (HD) users and the other with FD users along with the FD BS. For both the cases, a novel constructive method is developed for finding a closed-form interference alignment (IA) solution, named cyclic IA. The core idea behind this approach is to construct a set of loop-equations enabling IA in a cyclic manner, so that beamforming vectors are sequentially determined by solving an eigenvalue problem. It is shown analytically that the proposed cyclic IA can achieve the optimal sum degreesof- freedom (DoF) when the number of user antennas is large enough to meet the derived conditions. In particular, it is shown that the proposed scheme achieves a twofold DoF gain compared with conventional HD cellular networks even in the presence of inter-link interference, provided the number of users becomes large enough compared with the ratio of the number of BSs and user antennas. Simulation results demonstrate that not only are the analytical DoF results valid, but under a practical multi-cell scenario, the proposed cyclic IA offers significant throughput gains depending on the cell radius.

Original languageEnglish (US)
Article number7870645
Pages (from-to)2657-2671
Number of pages15
JournalIEEE Transactions on Communications
Issue number6
StatePublished - Jun 2017

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


  • Degrees of freedom
  • Eigenvalue problem
  • Full-duplex
  • Interference alignment


Dive into the research topics of 'Cyclic interference alignment for full-duplex multi-antenna cellular networks'. Together they form a unique fingerprint.

Cite this