# PS-CARA: Context-Aware Resource Allocation Scheme for Mobile Public Safety Networks
## 2 Related Work  
To meet the growing data rate demand for mobile data in urban areas, network densification is the best possible solution. The network densification can be achieved by deploying low-power small cells as they maximize the capacity by reusing the same frequency band. The small cells with moving capability can also fulfill the emergency communication requirement by deploying them in disaster hit areas.  
Numerous interference management schemes related to moving networks are summarized in [22; 23; 24; 25], but to the best of our knowledge these schemes manage the interference among moving networks by neglecting the context information. Hence, these schemes are not suitable for public safety situations where the user demands the emergency resources based on context information.  
In [26], authors presented the context-aware resource allocation scheme by targeting energy consumption reduction. Similarly, the authors discuss mobile cloud computing based context-aware resource allocation in [27]. This scheme selects service providers which minimize the offloading time and maximize the mobile devices lifetime by satisfying deadline constraint. In [28], authors proposed a context information based resource allocation scheme. This scheme considers the energy level and communication quality as a part of user context information. The energy efficient algorithm based on the Gale-Shapley algorithm for context-aware resource allocation is presented in [29]. The presented schemes formulated the resource allocation problem as a joint partner selection and power allocation problem. Their simulation results indicate optimization in energy consumption at low complexity. However, this scheme was only proposed by targeting the static caching-enabled small cells.  
Similarly, authors in [30] presented the context-aware resource allocation problem by jointly exploiting both the wireless channel and social context information of the users for D2D-enabled small cells. Their simulation results prove the importance of having both the social and channel conditions; that is the users with context-aware resource allocation can achieve the best possible  
Figure 1: 5G system architecture with mPC deployed to fulfill the users’ emergency requirements.  
results as compared with context-unaware approaches. The major problem in their work was that they ignored the mobility, and thus that cannot be adopted for mPC. Hence, none of the above discussed schemes are suitable for the public safety scenario as they ignored the mobility and most of them also did not consider the context information to allocate the resources among the users. This in turn results in more blocking and throughput reduction. To the best of our knowledge, no scheme is presented in the literature that jointly considers factors such as mobility, user priority for public safety situation, and the location information.  
Contributions: Motivated by this, we propose a public safety users connection priority-based context-aware resource allocation (PS-CARA) scheme. The proposed PS-CARA scheme has the following differentiating characteristics: (1) It uses the context information (that is, public safety user priority and their location information) to allocate the resources among users. (2) Moreover, PS-CARA scheme dynamically adjusts the mPC spectrum access ratio \(\eta\) based on the number of public safety users, which in turn increase the users' throughput. Subsequently, we further divided the available resource blocks into three parts, that is, for access links, backhaul links, and sidehaul links. (3) We also consider uplink (UL) power control scheme to reduce the interference among users. (4) Moreover, we consider two major factors for user association (a) priority indicator and (b) minimum pathloss factor [31], and hence it helps PS-CARA to reduce the call-blocking probability and interference among the users, and increase the public safety user throughput. We summarized the list of key mathematical symbols in Table 1.