DocumentCode :
149072
Title :
Cooperative transmission in cloud RAN considering fronthaul capacity and cloud processing constraints
Author :
Vu Nguyen Ha ; Long Bao Le ; Ngoc-Dung Dao
Author_Institution :
Inst. Nat. de la Rech. Sci.-Energie, Univ. du Quebec, Montréal, QC, Canada
fYear :
2014
fDate :
6-9 April 2014
Firstpage :
1862
Lastpage :
1867
Abstract :
We investigate the cooperative transmission design for the cloud radio access network (C-RAN) considering fronthaul capacity and cloud processing constraints. Specifically, we consider the joint transmission scheme where the baseband signals and precoding vectors are processed and calculated by the cloud, which are delivered over the fronthaul links to the remote radio heads (RRHs) to form the RF signals for being transmitted to the users. We formulate the joint optimization problem for precoding design and allocation of RRHs, fronthaul capacity, and BBU processing resources to minimize the total transmission power subject to QoS constraints of the users. We present both optimal exhaustive search algorithm and two low-complexity algorithms to solve the resource allocation problem where the first one can achieve the Pareto optimality and the second one can determine an efficient solution with pretty low complexity. Numerical results confirm the excellent performance of the proposed low-complexity algorithms.
Keywords :
cloud computing; computational complexity; cooperative communication; precoding; quality of service; radio access networks; resource allocation; search problems; vectors; BBU processing resources; C-RAN; Pareto optimality; QoS constraints; RRH; baseband signals; cloud processing constraints; cloud radio access network; cooperative transmission design; fronthaul capacity; fronthaul links; joint optimization problem; joint transmission scheme; low-complexity algorithms; optimal exhaustive search algorithm; precoding design; precoding vectors; remote radio heads; resource allocation problem; total transmission power; Baseband; Interference; Optimization; Quality of service; Resource management; Search methods; Vectors; Cloud radio access network (C-RAN); beamforming; power minimization; resource allocation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2014 IEEE
Conference_Location :
Istanbul
Type :
conf
DOI :
10.1109/WCNC.2014.6952553
Filename :
6952553
Link To Document :
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