Cloud radio access network (C-RAN) is an attractive technology to improve power efficiency through providing a novel architecture of baseband unit (BBU) pool to centrally process mass of transmitted data. How to further reduce BBU pool resource cost is a challenge issue. In this paper, we propose a resource scheduling scheme jointly considering multi-cell interference and BBU pool resource cost to reduce system power consumption. We construct the total power consumption, which includes computing resource of BBU pool and data transmission power. And we formulate the resource scheduling cost (RSC) model to minimize the total power consumption per bit. To solve the proposed RSC problem, which is NP-hard, we equivalently transform the original RSC problem into two sub-problems, i.e. transmission power and computing resource sub-problems. We apply support vector machine to compute the probabilistic interference and obtain the optimized remote radio heads transmission power and transmit rate using Zoutendijk’s method. In addition, we solve the computing resource sub-problem applying linear programming to obtain the minimum computing resource cost of BBU pool and system power cost. Simulation results show that the proposed RSC model significantly improved resource efficiency compared with the decomposition model for BBU allocation and NF based BBU scheduling model.
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This work was supported by National Science and Technology Major Project No. 2017ZX03001021-005.
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Yang, L., Chen, Y. Resource-efficiency improvement based on BBU/RRH associated scheduling for C-RAN. Wireless Netw 25, 2805–2815 (2019). https://doi.org/10.1007/s11276-019-01995-8
- Cloud radio access network (C-RAN)
- Baseband unit (BBU) pool
- Computing resource
- Power cost