能源意识的最佳数据卸载在未经许可的频谱

Yuan Wu, Haohan Chai, L. Qian, Weidang Lu, Qinglin Zhao, Changsheng Yu
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引用次数: 1

摘要

本文研究了移动用户(MU)的能量感知数据卸载问题,该问题将其流量需求同时调度到宏基站(BS)和小基站接入点(AP)。为了节省许可频谱的使用,我们认为MU使用非许可频谱来卸载数据。然而,开放使用非授权频谱会导致MU的数据卸载受到不可控的干扰,这就包含了数据卸载的好处。我们提出了一个停电概率来量化这种不利影响,并制定了一个联合费率分割和电力分配问题,以最大限度地减少MU的电力消耗和BS的许可信道使用的系统成本核算。尽管联合优化问题具有非凸性,但我们将其转化为三个不同情况下的速率分配问题,并推导出各自的最优解,从而得到原问题的全局最优解。数值结果验证了最优卸载解的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy-Aware Optimal Data Offloading over Unlicensed Spectrums
In this paper, we investigate the energy-aware data- offloading of mobile user (MU) which schedules its traffic demand to a macro Base Station (BS) and a small-cell access point (AP) simultaneously. For saving the usage of licensed spectrum, we consider that the MU uses unlicensed spectrum to offload data. The open access of unlicensed spectrum, however, results in that the MU's data offloading suffer from uncontrollable interference, which comprises the benefit of data offloading. We propose an outage-probability to quantify such an adverse influence and formulate a joint rate-splitting and power allocation problem to minimize a system-wise cost accounting for both the MU's power consumption and the BS's licensed channel usage. Despite the non-convexity of the joint optimization problem, we transform it into three rate- allocation problems under different cases and derive the respective optimal solutions, which yield the globally optimal solution for the original problem. Numerical results are provided to validate the optimal offloading-solution.
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