上下文感知的分散不变信令在移动通信中的应用
Context-Aware Decentralized Invariant Signaling for Opportunistic Communications
摘要：
在这项工作中提出了一种新的分布式信令技术的背景下，机会主义通信。每个机会主义用户从无线环境中获取本地采样的观察结果，以确定占用和可用的自由度（DoF）。由于感知误差和观测局部性，子空间不确定性会导致系统性能损失和系统间干扰。然而，我们表明，解决问题作为一个总的最小二乘（TLS）优化，信号模式鲁棒子空间的不确定性可以设计。此外，给出了最小范数和TLS的等价性，后者表现出线性预测的有趣性质。具体而言，旋转不变性属性是至关重要的，以保证相邻节点的可检测性。尽管有这些优点，端到端的子空间的不确定性产生的性能损失，妥协的可检测性和无线环境的性能。为了对抗后者，我们解决了分布式识别的活动子空间，有和没有边信息的相邻节点的子空间。一个广泛的模拟分析突出了分布式并发方案，以实现子空间协议的性能。
英文摘要：
A novel scenario-adapted distributed signaling technique in the context of opportunistic communications is presented in this work. Each opportunistic user acquires locally sampled observations from the wireless environment to determine the occupied and available degrees-of-freedom (DoF). Due to sensing errors and locality of observations, a performance loss and inter-system interference arise from subspace uncertainties. Yet, we show that addressing the problem as a total least-squares (TLS) optimization, signaling patterns robust to subspace uncertainties can be designed. Furthermore, given the equivalence of minimum norm and TLS, the latter exhibits the interesting properties of linear predictors. Specifically, the rotationally invariance property is of paramount importance to guarantee the detectability by neighboring nodes. Albeit these advantages, end-to-end subspace uncertainties yield a performance loss that compromises both detectability and wireless environment's performance. To combat the latter, we tackle the distributed identification of the active subspace with and without side information about neighboring nodes' subspaces. An extensive simulation analysis highlights the performance of distributed concurrency schemes to achieve subspace agreement.
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