Fog-RAN Enabled Multi-Connectivity and Multi-Cell Scheduling Framework for Ultra-Reliable Low Latency Communication

Abstract

Ultra-Reliable Low Latency Communication (URLLC) is a newly introduced service class targeting emerging Internet-of-Things (IoT) application scenarios. This paper assumes an interferencelimited Fog Radio Access Network (F-RAN) setup composed of multiple Remote Radio Heads (RRHs) equipped with multiple antennas serving single-antenna users. F-RAN facilitates collaborative solutions while reducing delay by pushing the network capabilities beyond the edge. By leveraging diversity, RRHs may cooperate through silencing, reducing interference, or joint transmission strategies such as maximal ratio transmission. We derive closed-form outage probability expressions and attain their diversity gain. We validate the derived analytical results through extensive numerical simulations. Furthermore, we propose a mini-slots-based scheduling framework to serve URLLC users within their fixed latency budget. In an interference-limited regime with the proposed scheduling framework, we show that a performance gain is superior when RRHs cooperate compared to when they do not. We briefly discuss the cost of reliability, i.e., the impact on the system's average sum throughput under cooperation. Moreover, numerical results verify that cooperating transmission schemes boost transmission reliability with a significantly improved latency performance at the cost of reduced system's average sum throughput.

Hybrid Services Collaborative Resource Scheduling Strategy towards Artificial Intelligence of Things

“…However, the deployment of dense F-APs at the edge of the network exacerbated the degree of interference between adjacent F-APs as the network throughput increases. To solve the above problems, Kharel et al [13] analyzed the change in the throughput performance when utilizing distributed F-APs for joint transmission in an F-RAN with limited interference. Experiment results showed that the F-AP joint transmission scheme significantly improves the transmission reliability and reduces transmission delays.…”

Statistical Tools and Methodologies for URLLC- A Tutorial

“…where (a) comes from using (24), (b) from using the complementary CDF of h 0 , (c) from exploiting the property exp( i a i ) = i exp(a i ), and (d ) after taking the expectation over every h k . Observe that although (25)…”

“…For instance, latency figures can be mainly improved by leveraging short codes and transmission time intervals [1], [5], [13], [14], edge caching/computing/slicing [2], [6], [12], [15], limitedoverhead protocols [2], [4], [16]- [18], and non-orthogonal multiple-access (NOMA) [2], [5], [19], [20]. Meanwhile, high reliability levels can be attained by exploiting diversity techniques as in multi-connectivity [4], [5], [21]- [24], data replication [17], [25], automatic repeat request protocols [5], [26], and multiple-input multiple-output (MIMO) systems [4], [5], [18], [27], as well as efficient network coding and relaying [12], [28]- [30] and space-time block codes [12], [13], [27]. A robust URLLC design may inevitably exploit several of the above technologies so that both latency and reliability metrics perform at the desired levels.…”

Unveiling the Impact: Human Exposure to Non-Ionizing Radiation in the Millimeter-Wave Band of Sixth-Generation Wireless Networks

“…This work is motivated by the introduction of a Fog Radio Access Network (F-RAN) in next-generation mobile networks to achieve Ultra-Reliable Low-Latency Communication (URLLC) [32,33]. The massive distribution of Virtual Baseband Units (VBU) in F-RAN in the form of an access point or RRHs for interference coordination and resource management is similar to the architecture of a DBS network.…”