# PS-CARA: Context-Aware Resource Allocation Scheme for Mobile Public Safety Networks
## 1 Introduction  
The demand for ubiquitous availability of broadband data, low latency applications, and massive connectivity is compelling to instigate fifth-generation (5G) systems [1]. The industry and academia forecasted a 1000\(\times\) increase in data traffic within the next decade. To meet these huge data traffic requirements, device-to-device (D2D) communications [2], ultra-dense small cells [3, 4], and moving and flying networks [5, 6, 7, 8] can be the the key enablers. The third generation partnership projects (3 GPP) is evolving long term evolution-advanced (LTE-A) standards by introducing more features to achieve enormous data rate requirements. The number of users demands a massive data rate and reliable connectivity on the move while riding on buses, cars, and trains. To overcome these challenges, numerous European union (EU) projects such as EU FP7 and mobile and wireless communication enablers for the twenty-twenty information society (METIS) arefocusing on meeting these demands by deploying moving networks [5; 9; 10; 11]. The moving networks deployment brings the base station closer to the users, which in turn reduces the channel losses and latency, and increases the users data rate. The moving networks can be easily adopted in 5G systems due to its flexible and easily adoptable architecture. The moving networks can be the best candidate in disaster situations, where most of the base stations are not functional, to provide the emergency communications among users. Like numerous public safety standards such as trans-European trunked radio (TETRA) and project 25 (P25), 3 GPP LTE is evolving existing standards to meet public safety application requirements. Inspired by this, we presented 3 GPP LTE-A based mobile personal cell (mPC) that follows users to meet their emergency data rate and latency demands. The mPC deployment can meet the public safety low latency and high priority requirements as it can expeditiously establish the communication link among the base station and public safety emergency users. However, mPC resource allocation poses some serious challenges because users frequent movements rapidly changes their location in disaster situations; this results in rapidly fluctuating channel conditions. Moreover, in disaster hit areas users also needs priority in connection establishment over the conventional users. So, the conventional static resource allocation schemes designed for low mobility or static environments are not suitable for varying channel conditions [12]. Therefore, mPC requires context-aware resource allocation schemes that can allocate resources among users using context information such as their location and connection establishment priority. Moreover, to efficiently manage the context-aware schemes, we need centralized information of the resource allocation. In this paper, we consider software-defined network (SDN) based architecture [13] which has the capability to centrally manage the mPC in its coverage area. The SDN architecture has the capability to centrally manage the necessary control activities such as network synchronization issues and centralized resource management of the disaster area. The SDN includes components like context-aware radio resource management (RRM) entity that centrally allocates the resources based on a situation and can easily centrally monitor the disaster hit areas. Moreover, it delivers central control signals to the public safety officers working in disaster areas. Furthermore, the user association [14] is performed based on public safety user priority. The use cases for deploying mPC in a 5G dense network is shown in Figure 1. An mPC deployed near the target areas can follow the target users, which can improve the throughput and quality of service (QoS). However, mPC deployment has the issue of resource allocation because the rapid change in mPC position can result in severe co-channel interference.