Inter-tier interference suppression in heterogeneous cloud radio access networks

Mugen Peng, Hongyu Xiang, Yuanyuan Cheng, Shi Yan, H. Vincent Poor

Research output: Contribution to journalArticlepeer-review

35 Scopus citations


Incorporating cloud computing into heterogeneous networks, the heterogeneous cloud radio access network (H-CRAN) has been proposed as a promising paradigm to enhance both spectral and energy efficiencies. Developing interference suppression strategies is critical for suppressing the intertier interference between remote radio heads (RRHs) and a macro base station (MBS) in H-CRANs. In this paper, inter-tier interference suppression techniques are considered in the contexts of collaborative processing and cooperative radio resource allocation (CRRA). In particular, interference collaboration (IC) and beamforming (BF) are proposed to suppress the inter-tier interference, and their corresponding performance is evaluated. Closed-form expressions for the overall outage probabilities, system capacities, and average bit error rates under these two schemes are derived. Furthermore, IC- and BF-based CRRA optimization models are presented to maximize the RRH-accessed users' sum rates via power allocation, which is solved with convex optimization. Simulation results demonstrate that the derived expressions for these performance metrics for IC and BF are accurate, and the relative performance between IC and BF schemes depends on system parameters such as the number of antennas at the MBS, the number of RRHs, and the target signal-to-interference-plus-noise ratio threshold. Furthermore, it is seen that the sum rates of IC and BF schemes increase almost linearly with the transmit power threshold under the proposed CRRA optimization solution.

Original languageEnglish (US)
Article number07315024
Pages (from-to)2441-2455
Number of pages15
JournalIEEE Access
StatePublished - Nov 2 2015

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Materials Science
  • General Engineering


  • Cooperative radio resource allocation
  • Heterogeneous cloud radio access network
  • Interference coordination
  • Interference suppression


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