论文标题
能量收集的稳态速率 - 最佳功率适应机会，并具有光谱感应和通道估计误差
Steady-State Rate-Optimal Power Adaptation in Energy Harvesting Opportunistic Cognitive Radios with Spectrum Sensing and Channel Estimation Errors
论文作者
论文摘要
我们考虑了一个机会性的认知无线网络，该网络由NU次级用户（SUS）和访问点（AP）组成，该网络可以访问许可给主要用户的频谱频段。每个SU都能收集能量，并配备有限尺寸的电池，以存放能量。 SUS在一个时机方案下运行，其中每个时间插槽由三个非重叠阶段组成：频谱传感阶段，通道探测阶段和数据传输阶段。 AP可以反馈其SUS-AP链接衰落系数的估计值。为了在能源收集和能源消耗之间取得平衡，我们提出了一种参数化的功率控制策略，该策略使每个SU可以根据反馈信息及其存储的能量来调整其功率。在存在频谱传感和通道估计误差的情况下，我们将随机到达的能量数据包建模为泊松过程，以作为泊松过程为泊松过程。我们优化了所提出的功率控制策略的参数，以使派生的总和下限最大化，受到干扰约束。通过模拟，我们证实了我们的分析并探索频谱传感通道探测数据传输权衡。
We consider an opportunistic cognitive radio network, consisting of Nu secondary users (SUs) and an access point (AP), that can access a spectrum band licensed to a primary user. Each SU is capable of harvesting energy, and is equipped with a finite size battery, for energy storage. The SUs operate under a time-slotted scheme, where each time slot consists of three non-overlapping phases: spectrum sensing phase, channel probing phase, and data transmission phase. The AP feeds back its estimates of fading coefficients of SUs-AP link to SUs. To strike a balance between the energy harvesting and the energy consumption, we propose a parameterized power control strategy that allows each SU to adapt its power, according to the feedback information and its stored energy. Modeling the randomly arriving energy packets during a time slot as a Poisson process, we establish a lower bound on the achievable sum-rate of SUs-AP links, in the presence of both spectrum sensing and channel estimation errors. We optimize the parameters of the proposed power control strategy, such that the derived sum-rate lower bound is maximized, subject to an interference constraint. Via simulations, we corroborate our analysis and explore spectrum sensing-channel probing-data transmission trade-offs.
