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Adaptive spectrum access strategies in the context of spectrum fragmentation in cognitive radio networks

机译:认知无线电网络中频谱碎片情况下的自适应频谱访问策略

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Because of the presence of incumbents in cognitive radio networks, the unused spectrum in the TV bands, popularly referred to as 'white spaces', are fragmented with the size of each fragment varying from one TV channel to several TV channels. What is more, because the secondary transmissions adjust their spectrum usage over time, white spaces become increasingly partitioned into a collection of discrete fragments, which decreases the spectral utilization. To improve throughputs, most of the prior researches focused on selecting the best transmission channel in the context of spectrum fragmentation but have rarely involved aggregating the fragmentation to a contiguous channel. In this paper, we present two adaptive spectrum access strategies, both of which not only select the best transmission channel but also efficiently solve the fragmentation problem. The first strategy involves one-agile radios that build a transmission using single fragment of frequency, which partially remedy the fragmentation problem using higher-layer solutions. The second strategy suppresses the impact of spectrum fragmentation successfully at the physical layer by combining k spectrum fragments to form a single transmission. The simulation results show that both of the strategies bring larger throughputs compared with the prior solutions.
机译:由于认知无线电网络中存在任职者,因此将电视频段中未使用的频谱(通常称为“空白”)分割成碎片,每个碎片的大小从一个电视频道到多个电视频道不等。而且,由于二次传输会随着时间调整其频谱使用情况,因此空白空间越来越多地划分为离散片段的集合,从而降低了频谱利用率。为了提高吞吐量,大多数现有研究集中于在频谱分段的情况下选择最佳传输信道,但很少涉及将分段聚集到连续信道。在本文中,我们提出了两种自适应频谱接入策略,它们不仅选择了最佳的传输信道,而且还有效地解决了碎片问题。第一种策略涉及单敏捷无线电,该无线电使用单个频率片段建立传输,从而部分地使用较高层的解决方案来解决片段问题。第二种策略是通过组合k个频谱片段以形成单个传输,成功地抑制了频谱碎片在物理层的影响。仿真结果表明,与现有解决方案相比,这两种策略均带来了更大的吞吐量。

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