###### Abstract
Recent studies also revealed that tactile users or haptic-driven TI applications such as inter-personal communication for AR/VR users are more concerned about the data presence than the geographical location of requested data [25; 26]. This leads to the introduction of ICN for MEC [27; 28]. The ICN enables named-based networking rather than the host addressing scheme in internet protocol (IP) [29]. The ICN uses content names for communication, which makes the communication architecture simple. The ICN is more concerned about content security rather than communication channel security [30]. Therefore, ICN contributes in achieving URLLC that improves QoS and maximizes QoE for the inter-personal communication of AR/VR users [31]. Moreover, ICN also minimizes the routing problems that lead to better network throughput in MEC-based 5G-enabled TI infrastructure [32]. Hence, it is a promising solution to enhance the MEC performance, and efficiency in terms of URLLC [33]. The ICN deals with the data cache and management in the network infrastructure. The ICN enables in-network caching in 5G core network. Therefore, ICN enables routing optimization and task scheduling in MEC-based 5G networks [34]. It lessens the forwarding of requests to the core network and tries to cache the most popular contents to the most appropriate place or node, depending on the cache strategies [35; 36]. The ICN opens the 5G communication with other benefits like in-network caching, mobility, and multi-cast [37]. The ICN provides efficient caching and routing for MEC-based 5G system. \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Use Case Scenario** & **Traffic Type** & **Reliability** & **Latency (ms)** & **Average Data Rate** \\ \hline \multirow{2}{*}{Inmersive VR} & Master \(\rightarrow\) Slave & \multirow{2}{*}{99.999\%} & \(<\)5 & \multirow{2}{*}{1–50} & \multirow{2}{*}{1–4 k pkts/s} \\  & Slave \(\rightarrow\) Master & & & \\ \hline \multirow{2}{*}{Tele-Operation} & Master \(\rightarrow\) Slave & \multirow{2}{*}{99.999\%} & \(\text{1–10}\) & \multirow{2}{*}{1–4 k pkts/s} \\  & Slave \(\rightarrow\) Master & & & \\ \hline \multirow{2}{*}{Automotive} & Master \(\rightarrow\) Slave & \multirow{2}{*}{99.9\%} & \(\text{1–10}\) & \multirow{2}{*}{100–2000 pkts/s} \\  & Slave \(\rightarrow\) Master & & & \\ \hline \multirow{2}{*}{Internet of drones} & Master \(\rightarrow\) Slave & \multirow{2}{*}{99.999\%} & \(\text{50–100}\) & \multirow{2}{*}{1–4 k pkts/s} \\  & Slave \(\rightarrow\) Master & & case dependent & \\ \hline \multirow{2}{*}{Inter-personal Communication} & User \(\rightarrow\) User 2 & \multirow{2}{*}{99.999\%} & \(\text{50}\)[10] only VR users & \multirow{2}{*}{600 Mbps} \\  & Slave \(\rightarrow\) Master & & & \\ \hline \multirow{2}{*}{Cooperative automated driving} & Master \(\rightarrow\) Slave & \multirow{2}{*}{99.9\%} & \(\text{1–20}\) & \multirow{2}{*}{10–40 Mbps} \\  & Slave \(\rightarrow\) Master & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 1: TI requirements and characteristics for specific use cases [7]. Furthermore, as discussed in Table 1 the inter-personnel communication deals with the users with different connected routers therefore, ICN enables content, cache, and routing optimization, and therefore, it increases QoS for inter-personal communication for AR/VR applications. Hence, ICN enabled MEC-based 5G system ensures high bandwidth capacity, content caching capability, and routing optimization to support low latency, and high reliability to users [38]. In ICN, the routing is performed based on three tables, i.e., content store (CS), pending interest table (PIT), and forward interest base (FIB) [39]. The caching node stores a list of caching objects in its CS. In a radio access network (RAN), the caching node has a PIT that monitors and forwards the state of interest packets for the content object [40]. Similarly, the node enlists all the possible next-hops for forwarding interest packets to the provider in FIB [41].