• DocumentCode
    1786612
  • Title

    Delay-aware cooperative multipoint transmission with backhaul limitation in cloud-RAN

  • Author

    Jian Li ; Mugen Peng ; Aolin Cheng ; Yu Yuling

  • Author_Institution
    Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2014
  • fDate
    10-14 June 2014
  • Firstpage
    665
  • Lastpage
    670
  • Abstract
    Driven by the surging mobile data traffic demands, the cloud radio access network (Cloud-RAN) of small cells has attracted intense interest in both academia and industry. In practice, the capacity-limited backhaul may eventually restrict the performance potential of cooperative multipoint transmission in Cloud-RAN. In this paper, we consider the delay-aware cooperative beamforming control for delay-sensitive traffic with limited backhaul data transfer in Cloud-RAN of small cells. Followed by the proposed simple threshold-based MS-centric cooperative clustering scheme, we formulate the delay-aware cooperative beamforming control problem as an infinite horizon average cost Markov decision process (MDP) and introduce the discrete time Bellman equation which embraces both the queue state information (QSI) and channel state information (CSI). To tackle with the emerging slow convergence of value functions and curse of dimensionality, the continuous time Bellman equation is derived and the suboptimal solution is obtained using the linear approximation of value functions. Since the formulated problem is non-convex, we derive the conservative reformulation of it and further transform it into convex problem using semidefinite relaxation (SDR) technique. Finally, an alternating optimization algorithm is proposed to effectively solve the SDR problem. Simulation results validate the performance gain of the proposed delay-aware cooperative beamforming control with limited backhaul consumption.
  • Keywords
    Markov processes; approximation theory; array signal processing; cellular radio; cloud computing; concave programming; convex programming; cooperative communication; decision theory; delays; mobile computing; pattern clustering; queueing theory; radio access networks; relaxation theory; telecommunication traffic; wireless channels; CSI; MDP; QSI; SDR technique; capacity-limited backhaul data transfer; cellular network; channel state information; cloud-RAN; continuous time Bellman equation; delay-aware cooperative beamforming control problem; delay-aware cooperative multipoint transmission; delay-sensitive traffic; discrete time Bellman equation; infinite horizon average cost Markov decision process; linear approximation; mobile data traffic demand; nonconvex formulated problem; optimization algorithm; queue state information; radio access network; semidefinite relaxation technique; threshold-based MS-centric cooperative clustering scheme; Array signal processing; Computer architecture; Delays; Equations; Mathematical model; Microprocessors; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications Workshops (ICC), 2014 IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • Type

    conf

  • DOI
    10.1109/ICCW.2014.6881275
  • Filename
    6881275