On the Gaussian Interference Channel with Half-Duplex Causal Cognition

Martina Cardone;Daniela Tuninetti;Raymond Knopp;Umer Salim
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引用次数: 3

Abstract

This paper studies the two-user Gaussian interference channel with half-duplex causal cognition. This channel model consists of two source-destination pairs sharing a common wireless channel. One of the sources, referred to as the cognitive, overhears the other source, referred to as the primary, through a noisy link and can therefore assist in sending the primary's data. Due to practical constraints, the cognitive source is assumed to work in half-duplex mode, that is, it cannot simultaneously transmit and receive. This model is more relevant for practical cognitive radio systems than the classical information theoretic cognitive channel model, where the cognitive source is assumed to have a non-causal knowledge of the primary's message. Different network topologies are considered, corresponding to different interference scenarios: (i) the interference-symmetric scenario, where both destinations are in the coverage area of the two sources and hence experience interference, and (ii) the interference-asymmetric scenario, where one destination does not suffer from interference. For each topology the sum-rate performance is studied by first deriving the generalized Degrees of Freedom (gDoF), or "sum-capacity pre-log" in the high-SNR regime, and then showing relatively simple coding schemes that achieve a sum-rate upper bound to within a constant number of bits for any SNR. Finally, the gDoF of the channel is compared to that of the non-cooperative interference channel and to that of the non-causal cognitive channel to identify the parameter regimes where half-duplex causal cognition is useless in practice or attains its ideal ultimate limit, respectively.
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具有半双工因果认知的高斯干扰信道
本文研究了具有半双工因果认知的双用户高斯干扰信道。该信道模型由共享公共无线信道的两个源-目的地对组成。其中一个源,称为认知源,通过有噪声的链路偷听到另一个源(称为初级源),因此可以帮助发送初级源的数据。由于实际限制,认知源被假设以半双工模式工作,即它不能同时发送和接收。与经典的信息论认知信道模型相比,该模型更适用于实际的认知无线电系统,在经典的信息理论认知信道模型中,认知源被假设对初级信息具有非因果知识。考虑了不同的网络拓扑,对应于不同的干扰场景:(i)干扰对称场景,其中两个目的地都在两个源的覆盖区域内,因此受到干扰,以及(ii)干扰不对称场景,其中一个目的地不受到干扰。对于每种拓扑,通过首先推导高SNR状态下的广义自由度(gDoF)或“和容量预对数”,然后展示相对简单的编码方案来研究和速率性能,这些方案实现了任何SNR的和速率上限在恒定位数以内。最后,将信道的gDoF与非合作干扰信道的gDoF和非因果认知信道的gDoF进行比较,以分别识别半双工因果认知在实践中无用或达到其理想最终极限的参数状态。
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Table of Contents Guest Editorial: Special Issue on Next Generation Advanced Transceiver Technologies—Part II IEEE Communications Society Information IEEE Journal on Selected Areas in Communications Publication Information Table of Contents
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