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Cross-layer QSI-Aware radio resource management for HetNets with flexible backhaul

Omidvar, N ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/WCNC.2016.7564874
  3. Publisher: Institute of Electrical and Electronics Engineers Inc
  4. Abstract:
  5. In this paper, we consider the problem of cross-layer radio resource management in heterogeneous networks (HetNets) with flexible backhaul, which aims at minimizing the total transmit power of base stations (BSs) while guaranteeing the average end-To-end data rate requirement of each data flow. We formulate the problem as a two-Timescale stochastic optimisation, where the long-Timescale control variables are flow control, routing control and interference coordination, while the short-Timescale control variable is instantaneous beamforming within each cell. Using a stochastic cutting plane (SCP) method, we propose a cross-layer queue-state information (QSI) aware radio resource management (RRM) solution in which the long-Term controls are updated centrally at radio resource management server (RRMS) without needing to know the global statistical information of the network, and the short-Term control variables are updated locally at each BS with only the local instantaneous QSI and channel-state information (CSI) available at each cell. Simulation results show the significant performance gain of our proposed algorithm compared to various baselines
  6. Keywords:
  7. QoS ; Stochastic cutting plane ; Two-Timescale stochastic optimization ; Channel state information ; Communication channels (information theory) ; Heterogeneous networks ; Natural resources management ; Optimization ; Quality of service ; Radio ; Radio communication ; Resource allocation ; Stochastic systems ; Wireless telecommunication systems ; Cross-layer design ; Cutting planes ; Flexible backhaul ; Radio resource management ; Stochastic optimizations ; Information management
  8. Source: 2016 IEEE Wireless Communications and Networking Conference, 3 April 2016 through 7 April 2016 ; Volume 2016-September , 2016 ; 15253511 (ISSN) ; 9781467398145 (ISBN)
  9. URL: http://ieeexplore.ieee.org/document/7564874