MISO认知信道中底层和叠加频谱共享策略的比较

Ricardo Blasco-Serrano, Jing Lv, R. Thobaben, Eduard Axel Jorswieck, Adrian Kliks, M. Skoglund
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引用次数: 29

摘要

我们考虑了认知无线电信道模型的扩展,其中二次发射机必须在第一阶段获得(“学习”)主要信息,而不是对其具有非因果知识。我们提出了一个可实现的速率区域,该区域结合了纯认知无线电信道模型的解码转发中继元素和编码。此外,我们找到了在主速率约束下使次速率最大化的参数选择。最后,我们将本系统的性能与结合了波束形成、速率分割和连续解码的底层方案的性能进行了数值比较。我们观察到,虽然覆盖设计提供了更高的速率,但由于第一阶段的损失相当严重。实际上,对于所考虑的场景,巧妙设计的底层方案可以提供类似的性能。
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Comparison of underlay and overlay spectrum sharing strategies in MISO cognitive channels
We consider an extension of the cognitive radio channel model in which the secondary transmitter has to obtain (“learn”) the primary message in a first phase rather than having non-causal knowledge of it. We propose an achievable rate region that combines elements of decode-and-forward relaying with coding for the pure cognitive radio channel model. Moreover, we find the choice of parameters that maximize the secondary rate under a primary rate constraint. Finally, we compare numerically the performance of our system to that of an underlay scheme that combines beamforming, rate splitting, and successive decoding. We observe that although the overlay design provides higher rates, the losses due to the first phase are quite severe. In fact, for the considered scenarios, cleverly designed underlay schemes can provide comparable performance.
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