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| In this paper, we study the optimization issue of network energy efficiency of the CDSA-based heterogeneous cloud radio access networks (H-CRAN) networks, which has heterogeneous fronthaul between control base station (CBS) and data base stations (DBSs). We first present a modified power consumption model for the CDSA-based H-CRAN, and then formulate the optimization problem with constraint of overall capacity of wireless fronthaul. We work out the resource assignment and power allocation by the convex relaxation approach Using fractional programming method and Lagrangian dual decomposition method, we derive the close-form optimal solution and verify it by comprehensive system-level simulation. The simulation results show that our proposed algorithm has $8%$ EE gain compared to the static algorithm, and the CDSA-based H-CRAN networks can achieve up to $16%$ EE gain compared to the conventional network even under strict fronthaul capacity limit. |
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| Keywords:Control data separation architecture (CDSA), Energy Efficiency, Cloud Radio Access Network,Heterogeneous Fronthaul |
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