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Auction-based energy-spectrum trading in green cognitive cellular networks

机译:绿色认知蜂窝网络中基于拍卖的能量谱交易

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Green communications has received much attention recently. For cellular networks, the base stations (BSs) account for more than 50 percent of the energy consumption of the networks. Therefore, reducing the power consumption of BSs is crucial to enhance the energy efficiency of cellular networks. Meanwhile, the mobile data traffic is expected to increase exponentially. To accommodate the increasing data traffic with the limited radio frequency, enhancing the spectrum efficiency is critical for next generation cellular networks. In this paper, we propose an auction-based energy-spectrum trading scheme which exploits the cooperation between primary base stations (PBSs) and the secondary base stations (SBSs) to enhance the energy as well as spectrum efficiency of cellular networks. In the cooperation, by leveraging cognitive radio, PBSs share the licensed spectrum with SBSs, and the SBSs provide data service to the primary users under its coverage utilizing the shared bandwidth. The cooperation between PSBs and SBSs can significantly improve the energy and spectral efficiency of cellular networks. However, optimizing the bandwidth sharing between PBSs and SBSs is an NP-hard problem. Solving such problem using centralized algorithms is not computationally efficient, especially when considering a large number of PBSs and SBSs. Thus, we design an auction-based decentralized mechanism to enable the cooperation between PBSs and SBSs. Simulation results that demonstrated the performance and viability of the proposed decentralized mechanism.
机译:最近,绿色通信备受关注。对于蜂窝网络,基站(BS)占网络能耗的50%以上。因此,降低BS的功耗对于提高蜂窝网络的能量效率至关重要。同时,移动数据流量有望成倍增长。为了在有限的射频下适应不断增长的数据业务,提高频谱效率对于下一代蜂窝网络至关重要。在本文中,我们提出了一种基于拍卖的能量频谱交易方案,该方案利用主要基站(PBS)和次要基站(SBS)之间的协作来增强蜂窝网络的能量和频谱效率。在合作中,通过利用认知无线电,PBS与SBS共享许可频谱,并且SBS利用共享带宽向其覆盖范围内的主要用户提供数据服务。 PSB和SBS之间的合作可以显着提高蜂窝网络的能量和频谱效率。但是,优化PBS和SBS之间的带宽共享是NP难题。使用集中式算法解决此类问题的计算效率不高,尤其是在考虑大量PBS和SBS时。因此,我们设计了一种基于拍卖的分散机制,以实现PBS和SBS之间的合作。仿真结果证明了所提出的分散机制的性能和可行性。

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