Optimization framework for baseband functionality splitting in C-RAN
2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)(2017)
摘要
An optimal baseband functionality splitting in cloud radio access networks (C-RAN) can reduce the operational and capital costs significantly. Therefore, in this paper we propose a dynamic functional splitting model in C-RAN. We formulate the problem of allocating the baseband processing load at C-RAN as a joint resource allocation and routing optimization problem. We adopt the alternating direction method of multipliers (ADMM) to solve the problem in a distributed way. The simulations shows that partially centralizing the processing load provides the optimal operating point in terms of minimizing a network-wide cost function.
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关键词
optimization framework,C-RAN,optimal baseband functionality splitting,cloud radio access networks,operational capital costs,dynamic functional splitting model,baseband processing load,joint resource allocation,routing optimization problem,optimal operating point,network-wide cost function,alternating direction method of multipliers
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