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Energy-Aware Dynamic Selection of Overlay and Underlay Spectrum Sharing for Cognitive Small Cells

机译:认知小型小区的能量感知动态选择覆盖和共享频谱共享

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Small cell (SC) base stations with cognitive capabilities are seen as an efficient way to cope with interference between the SC base stations and macrocell base stations (MBSs). Cognitive SCs may access the spectrum by means of overlay or underlay mode. An efficiency of the overlay mode fully depends on the activity of macrocell users (MUEs), since insufficient resources remain for small cell users (SUEs). Contrarily, the main weakness of the underlay mode is that it can result in low transmission efficiency due to restricted transmission power. Apart from the transmission efficiency of both modes, an energy consumption of the SCs should not be disregarded. Thus, we propose a centralized scheme selecting the spectrum sharing mode in the downlink, according to both the SUEs’ throughput and the energy consumption of the SCs. The objective is to maximize the overall performance of the SCs, while their energy consumption is taken into account. Then, we also propose a distributed algorithm in order to decrease complexity and signaling overhead of the centralized scheme. The results show that the proposed dynamic selection significantly outperforms all competitive schemes in terms of the SUEs’ throughput, while the throughput of MUEs is intact, and only negligible signaling overhead is generated in the case of the proposed distributed algorithm. Moreover, the proposed algorithm is able to notably decrease the energy consumption of the SCs.
机译:具有认知能力的小型小区(SC)基站被视为应对SC基站与宏小区基站(MBS)之间的干扰的有效方法。认知SC可以通过覆盖或底层模式访问频谱。覆盖模式的效率完全取决于宏小区用户(MUE)的活动,因为对于小小区用户(SUE)剩余的资源不足。相反,底层模式的主要缺点是由于受限制的传输功率而导致传输效率低下。除了两种模式的传输效率外,SC的能耗都不应忽略。因此,我们提出了一种集中方案,根据SUE的吞吐量和SC的能耗选择下行链路中的频谱共享模式。目的是在考虑SC的能耗的同时,最大化SC的整体性能。然后,我们还提出了一种分布式算法,以降低集中式方案的复杂度和信令开销。结果表明,就SUE的吞吐量而言,提出的动态选择明显优于所有竞争方案,而MUE的吞吐量保持不变,并且在提出的分布式算法的情况下,仅产生可忽略的信令开销。此外,所提出的算法能够显着降低SC的能耗。

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