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Opportunistic spectral access through suppression of impulsive interference

机译:通过抑制脉冲干扰实现机会频谱访问

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Cognitive radios are slated to be the next generation of smart transceivers that can opportunistically access spectrum through dynamic sensing of their immediate radio frequency (RF) environment. Such spectral sharing will be limited primarily by the interference that a cognitive user may potentially cause to the licensed primary user of the band. In particular, all cognitive transmitters located within a certain region of interference of a primary user will have to refrain from transmitting data. Given that most cognitive users will need to transmit data only intermittently and that there will be only a finite number of such users in the RF neighbourhood of a primary user, it is conceivable that the resulting interference at the primary will be more structured than can be described by a white Gaussian noise model. This opens the door for interference mitigation techniques that exploit the interference structure. In this work, methods to mitigate the effects of potentially harmful interference caused by active secondary users through intelligent signal processing at the receiver of the primary user are investigated, such that the perimeter of the region of interference can be reduced, creating greater opportunities for the secondary users while meeting interference constraints. Receiver structures for the more practical scenario of temporally correlated interference are introduced, and the achievable gains when applying simple yet effective interference suppression methods are quantified.
机译:认知无线电将成为下一代智能收发器,它们可以通过动态感知其即时射频(RF)环境来机会性地访问频谱。这种频谱共享将主要受到认知用户可能对频段的许可主要用户造成干扰的限制。特别地,位于主要用户的特定干扰区域内的所有认知发射机将必须避免发送数据。鉴于大多数认知用户仅需要间歇性地传输数据,并且在主要用户的RF邻域中将只有有限数量的此类用户,因此可以想象,在主要用户处产生的干扰将比可能的干扰更为结构化。用高斯白噪声模型描述。这为利用干扰结构的干扰缓解技术打开了大门。在这项工作中,研究了通过在主要用户的接收器处进行智能信号处理来减轻活跃的次要用户造成的潜在有害干扰影响的方法,从而可以减少干扰区域的周长,从而为次用户,同时满足干扰限制。介绍了针对时间相关干扰的更实际情况的接收机结构,并量化了应用简单而有效的干扰抑制方法时可获得的增益。

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