期刊
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
卷 65, 期 11, 页码 9168-9180出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2016.2517698
关键词
Auction; energy efficiency; game theory; green networking; heterogeneous networks (HetNets); multiobjective optimization; offloading; switching off
资金
- Research Project AGAUR [2014-SGR-1551]
- Research Project CellFive [TEC2014-60130-P]
- Research Project DEFINE-5G [TEC2014-60258-C2-2-R]
The emerging data traffic demand has caused a massive deployment of network infrastructure, including Base Stations ( BSs) and Small Cells ( SCs), leading to increased energy consumption and expenditures. However, the network underutilization during low traffic periods enables the Mobile Network Operators ( MNOs) to save energy by having their traffic served by third party SCs, thus being able to switch off their BSs. In this paper, we propose a novel market approach to foster the opportunistic utilization of the unexploited SCs capacity, where the MNOs, instead of requesting the maximum capacity to meet their highest traffic expectations, offer a set of bids requesting different resources from the third party SCs at lower costs. Motivated by the conflicting financial interests of the MNOs and the third party, the restricted capacity of the SCs that is not adequate to carry the whole traffic in multi-operator scenarios, and the necessity for energy efficient solutions, we introduce a combinatorial auction framework, which includes i) a bidding strategy, ii) a resource allocation scheme, and iii) a pricing rule. We propose a multiobjective framework as an energy and cost efficient solution for the resource allocation problem, and we provide extensive analytical and experimental results to estimate the potential energy and cost savings that can be achieved. In addition, we investigate the conditions under which the MNOs and the third party companies should take part in the proposed auction.
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