Capacity enhancement using an interference limited area for device-to-device uplink underlaying cellular networks

Hyunkee Min, Jemin Lee, Sungsoo Park, Daesik Hong

Research output: Contribution to journalArticlepeer-review

482 Citations (Scopus)


A new interference management strategy is proposed to enhance the overall capacity of cellular networks (CNs) and device-to-device (D2D) systems. We consider M out of K cellular user equipments (CUEs) and one D2D pair exploiting the same resources in the uplink (UL) period under the assumption of M multiple antennas at the base station (BS). First, we use the conventional mechanism which limits the maximum transmit power of the D2D transmitter so as not to generate harmful interference from D2D systems to CNs. Second, we propose a δD-interference limited area (ILA) control scheme to manage interference from CNs to D2D systems. The method does not allow the coexistence (i.e., use of the same resources) of CUEs and a D2D pair if the CUEs are located in the δD-ILA defined as the area in which the interference to signal ratio (ISR) at the D2D receiver is greater than the predetermined threshold, δD. Next, we analyze the coverage of the δD-ILA and derive the lower bound of the ergodic capacity as a closed form. Numerical results show that the δD-ILA based D2D gain is much greater than the conventional D2D gain, whereas the capacity loss to the CNs caused by using the δD-ILA is negligibly small.

Original languageEnglish
Article number6047553
Pages (from-to)3995-4000
Number of pages6
JournalIEEE Transactions on Wireless Communications
Issue number12
Publication statusPublished - 2011 Dec

Bibliographical note

Funding Information:
This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2010-0018938), and in part by Seoul R&BD Program (WR080951). Digital Object Identifier 10.1109/TWC.2011.100611.101684

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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