2020
DOI: 10.1109/twc.2019.2954867
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Flexible Functional Split and Power Control for Energy Harvesting Cloud Radio Access Networks

Abstract: Functional split is a promising technique to flexibly balance the processing cost at remote ends and the fronthaul rate in cloud radio access networks (C-RAN). By harvesting renewable energy, remote radio units (RRUs) can save grid power and be flexibly deployed. However, the randomness of energy arrival poses a major design challenge. To maximize the throughput under the average fronthaul rate constraint in C-RAN with renewable powered RRUs, we first study the offline problem of selecting the optimal function… Show more

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Cited by 17 publications
(11 citation statements)
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References 25 publications
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“…[23] explores min-cost splits in tree networks with fixed CUs; while [24] selects the CU locations and formulates (but does not solve) a min-cost design problem. [25] and [26] consider multiple CUs but do not optimize routing. In [27] and [28] the DUs are assigned to co-located CUs aiming to reduce energy costs, thus the assignment decisions do not affect routing.…”
Section: Related Workmentioning
confidence: 99%
“…[23] explores min-cost splits in tree networks with fixed CUs; while [24] selects the CU locations and formulates (but does not solve) a min-cost design problem. [25] and [26] consider multiple CUs but do not optimize routing. In [27] and [28] the DUs are assigned to co-located CUs aiming to reduce energy costs, thus the assignment decisions do not affect routing.…”
Section: Related Workmentioning
confidence: 99%
“…They also use task scheduling to allocate the resources to VMs and RRHs. Zhang et al [34] consider tradeoff problem with energy and latency. They defined the task offloading with four sub-problem, and each sub-problem has corresponded to a game.…”
Section: Related Workmentioning
confidence: 99%
“…Temesgene et al [46] suggest the use of Q-learning and SARSA algorithms to optimize the placement of functions in terms of energy. In a similar way, an online solution for flexible functional split selection considering energy is proposed in [47], where the problem is formulated as a MDP. The energy consumption, together with functional split, is also studied in [48], using a real implementation based on Open Air Interface (OAI).…”
Section: Related Workmentioning
confidence: 99%