论文标题
探索与讲话：用于上行链路传输的多通道选择多样性在机器型通信中
Explore-Before-Talk: Multichannel Selection Diversity for Uplink Transmissions in Machine-Type Communication
论文作者
论文摘要
提高机器类型通信（MTC）的数据速率对于支持新兴的物联网（IoT）应用程序至关重要，从实时监视到边缘机器学习。为此，在本文中，我们提出了一种通过利用多通道选择多样性的MTC中随机访问过程中上行链路传输的资源分配方法，这是探索 - 探索 - 与讲话（EBT）。 EBT中的每个用户首先通过多个通道发送飞行员信号，这些通道最初由基站（BS）分配以进行勘探，然后BS告知最初分配的通道子集，这些通道与高信号噪声比率（SNR）相关，同时又通过用户释放了其他频道的其他用户。因此，EBT在数据包传输过程中利用了多通道选择多样性的增长，以试点传输期间的勘探成本。我们通过得出封闭形式的平均数据速率和资源中断概率表达式来优化这种探索探索折衷。与没有探索的常规MTC协议相比，数值结果证实了EBT达到较高的平均数据速率，同时满足相同的中断约束。
Improving the data rate of machine-type communication (MTC) is essential in supporting emerging Internet of things (IoT) applications ranging from real-time surveillance to edge machine learning. To this end, in this paper we propose a resource allocation approach for uplink transmissions within a random access procedure in MTC by exploiting multichannel selection diversity, coined explore-before-talk (EBT). Each user in EBT first sends pilot signals through multiple channels that are initially allocated by a base station (BS) for exploration, and then the BS informs a subset of initially allocated channels that are associated with high signal-to-noise ratios (SNRs) for data packet transmission by the user while releasing the rest of the channels for other users. Consequently, EBT exploits a multichannel selection diversity gain during data packet transmission, at the cost of exploration during pilot transmission. We optimize this exploration-exploitation trade-off, by deriving closed-form mean data rate and resource outage probability expressions. Numerical results corroborate that EBT achieves a higher mean data rate while satisfying the same outage constraint, compared to a conventional MTC protocol without exploration.
