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
Link To Document