Exploiting Interference with an Intelligent Reflecting Surface to Enhance Data Transmission

Zhao Li, Chengyu Liu, Lijuan Zhang, Kang G. Shin, Jia Liu, Zheng Yan, Riku Jantti

Research output: Contribution to journalArticleScientificpeer-review

Abstract

With the increasing number of wireless devices connecting to networks and sharing spectrum resources, interference has become a major obstacle to improving network performance. Existing interference management (IM) methods treat interference as a negative factor and focus on suppressing or eliminating its impact on the transmission of intended signals. However, this often comes at the cost of consuming communication resources and degrading desired transmission performance. Therefore, the design of a cost-effective IM method that “exploits” interference is important. To achieve this goal, we propose Intelligent Reflecting Surface Assisted Interference Exploitation (IRS-IE) to realize efficient desired data transmission. IRS-IE leverages the low-cost and adaptive deployment capabilities of IRS to gather and reflect interference towards the interfered receiver (Rx). By appropriately designing the reflection coefficient of IRS, a phase shift is introduced to the incident interference, allowing the reflected interference to interact with its direct counterpart at the interfered Rx. As a result, the interfered Rx can retrieve its desired data from the mixed interference. This way, IRS-IE can make use of the interference to facilitate the desired data transmission. Our theoretical analysis and simulation results show that IRS-IE significantly improves the spectral efficiency (SE) of the interfered communication pair over the other IM methods.

Original languageEnglish
JournalIEEE Transactions on Wireless Communications
DOIs
Publication statusE-pub ahead of print - 23 Feb 2024
MoE publication typeA1 Journal article-refereed

Keywords

  • Intelligent reflecting surface
  • interference management
  • interference utilization
  • spectral efficiency

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