Spatial-Temporal Opportunity Detection for Spectrum-Heterogeneous Cognitive Radio Networks: Two-Dimensional Sensing
Spatial-Temporal Opportunity Detection for Spectrum-Heterogeneous Cognitive Radio Networks: Two-Dimensional Sensing
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DOI：
10.1109/twc.2012.122212.111638
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发表时间：
2013-01
影响因子：
10.4
通讯作者：
Qi-hui Wu;Guoru Ding;Jinlong Wang;Yu-dong Yao
中科院分区：
文献类型：
--
作者：
Qi-hui Wu;Guoru Ding;Jinlong Wang;Yu-dong Yao
研究了频谱不同的认知无线电网络中的时空机会检测问题，在给定的时间内，不同位置的次级用户可能经历不同的频谱接入机会。大多数先前的研究孤立地处理空间或时间感知，并且明确或隐含地假设所有的SU共享相同的频谱机会。然而，这一假设是不现实的，考虑到SU之间的频谱可用性的异构性，传统的非合作感知(NCS)和合作感知(CS)方案在更现实的环境中并不是很有效。我们定义了新的性能度量来指导时空机会检测，并提出了一种二维感知(TDS)框架来提高机会检测的性能，该框架通过在时空感知窗口中有效地融合感知结果来同时利用时间和空间上的相关性。此外，根据最大干扰受限发射功率(MICTP)，将SU的空间机会分为黑、灰、白三类，并提出了一种基于TDS的分布式功率控制方案，通过同时利用灰谱和白谱机会来进一步提高频谱利用率。通过在不同场景下的深入数值仿真，验证了该方案的有效性。
This paper investigates the issue of spatial-temporal opportunity detection for spectrum-heterogeneous cognitive radio networks, where at a given time secondary users (SUs) at different locations may experience different spectrum access opportunities. Most prior studies address either spatial or temporal sensing in isolation and explicitly or implicitly assume that all SUs share the same spectrum opportunity. However, this assumption is not realistic and the traditional non-cooperative sensing (NCS) and cooperative sensing (CS) schemes are not very effective in a more realistic setting considering the heterogeneous spectrum availability among SUs. We define new performance metrics to guide the spatial-temporal opportunity detection and propose a two-dimensional sensing (TDS) framework to improve the opportunity detection performance, which exploits correlations in time and space simultaneously by effectively fusing sensing results in a spatial-temporal sensing window. Furthermore, in terms of maximum interference constrained transmission power (MICTP), we classify the spatial opportunities for SUs into three groups: black, grey, and white, and propose a TDS-based distributed power control scheme to further improve the spectrum utilization by exploiting both grey and white spectrum opportunities. The effectiveness of the proposed scheme is demonstrated through in-depth numerical simulations under a variety of scenarios.