Intercell Interference Coordination Without Base Station Cooperation for Wireless Cellular Networks

Doctoral Dissertation


We consider the downlink of a wireless cellular network where the base stations are equipped with multiple antennas and operate in the same frequency band. Due to temporal multi-user scheduling, the spatial transmit signal processing changes with each time slot and base stations require non-causal information about future scheduling and precoding decisions of neighboring base stations in order to encode their data accurately. This can, in theory, be accomplished by a high-capacity backhaul network through which the base stations can exchange channel state information (CSI) and other control signaling. In reality, the temporal granularity of the scheduler does not allow for timely distribution of CSI among base stations. We propose a two-phase scheduler which optimizes the precoding in the first phase and allows the users to feed back their instantaneous interference power in the second phase. If the scheduling is synchronized among base stations, additional infrastructure is not required and base stations operate independently. For single-user transmissions we propose a proportional-fair two-phase scheduler and compare its performance to multi-user two-phase scheduling with dirty paper coding and to algorithms that share CSI among base stations. Simulation results unveil that two-phase scheduling is a viable and technically feasible solution to deal with non-stationary intercell interference. We propose a precoding scheme that explicitly makes use of two-phase scheduling by maximizing the signal-to-leakage-plus-noise ratio in the first phase. It can be implemented for both instantaneous and average CSI and works with and without coordination among base stations. Lastly, we analyze the impact of non-stationary intercell interference on heterogeneous cellular architectures where traditional networks are overlaid with additional low-power base stations. We show that open-access picocells can be deployed as is whereas closed-access femtocells require coordination between the legacy macro-layer and the novel femto-layer. We propose a probabilistic power control algorithm that computes the femto-layer transmit power for a given cell at the corresponding macro base station which distributes it to the femto base stations. The algorithm is solely based on measurements readily available and no additional information exchange from the femto-layer to the macro-layer is required.


Attribute NameValues
  • etd-07142011-115819

Author Ralf Matthias Bendlin
Advisor Dr. Yih-Fang Huang
Contributor Dr. Josef A. Nossek, Committee Co-Chair
Contributor Dr. Thomas Pratt, Committee Member
Contributor Dr. Ken Sauer, Committee Member
Contributor Dr. Yih-Fang Huang, Committee Chair
Contributor Dr. Daniel Costello, Jr., Committee Member
Degree Level Doctoral Dissertation
Degree Discipline Electrical Engineering
Degree Name PhD
Defense Date
  • 2011-07-08

Submission Date 2011-07-14
  • United States of America

  • picocells

  • femtocells

  • non-stationary interference

  • base station cooperation

  • cellular networks

  • heterogeneous networks

  • interference channel (IFC)

  • intercell interference coordination (ICIC)

  • coordinated multi-point (CoMP) transmission

  • University of Notre Dame

  • English

Record Visibility Public
Content License
  • All rights reserved

Departments and Units


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