论文标题
用于S-Aloha的插槽内微同步
Exploiting In-Slot Micro-Synchronism for S-ALOHA
论文作者
论文摘要
智能城市的城市互联网（IoT）的扩散助长了无线蜂窝网络的大量数据。基于S-Aloha系统的5G新广播（NR）的无线蜂窝网络的随机访问（RA）系统应应对不断增长的IoT流量。这项工作提出了带有时间偏移（TOS）的S-Aloha系统，其中一个插槽由K TOS和一个数据包传输时间组成。总体TO的长度是数据包传输时间的一小部分。在系统中（RE）中，将传递到随机选择的边界。这使基站（BS）能够通知用户谁在插槽中传输了第一个和最后一个数据包，碰撞，以便两个用户可以分别在以下两个插槽中成功重新发送。与模拟相比，我们的吞吐量分析表明，即使使用三个和四个TOS，也没有托斯的S-Aloha系统的吞吐量极限。此外，我们建议使用TOS的S-Aloha系统的两种贝叶斯优化的向后算法，即使在不饱和的交通情况下，用户也可以使用该算法应用吞吐量（RE）传输概率或统一的向后窗口。数值结果表明，与S-Aloha系统相比，所提出的向后算法可以实现接近理想系统的吞吐量，并大大减少访问延迟。
Proliferation of the urban Internet-of-Things (IoTs) for smart cities has fuelled massive amounts of data over wireless cellular networks. Random access (RA) system of wireless cellular networks, e.g., 5G New Radio (NR), based on S-ALOHA system should cope with ever-growing IoT traffic. This work proposes S-ALOHA system with time offsets (TOs), where one slot consists of K TOs and one packet transmission time. The length of the overall TOs is a fraction of a packet transmission time. In the system users (re)transmit to the boundary of a TO randomly selected. This enables the base station (BS) to inform the users of who transmits the first and the last packets in the slot with collision so that the two users can retransmit successfully in the following two slots respectively. Our throughput analysis compared to simulations shows that adopting even with three and four TOs surpasses the throughput limit of S-ALOHA system without TOs. Additionally, we propose two Bayesian-optimized backoff algorithms for S-ALOHA system with TOs, with which users can apply throughput-optimal (re)transmission probability or uniform backoff window even in unsaturated traffic scenarios. Numerical results demonstrate that the proposed backoff algorithms can achieve the throughput close to an ideal system and drastically reduce the access delay compared to S-ALOHA system.
