# Enhanced Matching Game for Decoupled Uplink Downlink Context-Aware Handover
## 1 Introduction  
In recent years, the requirements of mobile data traffic have radically changed, whereby the beneficial base station (BS) for the downlink traffic (video streaming, downloading) is not the same as for the uplink traffic (video chatting, gaming) [1, 2]. More specifically, applications with intensive consumption of uplink traffic have emerged in the realm of mobile communication. In addition, since the progress of 5G is tending towards a capability enhancement of 1000-fold even to users with high mobility, the idea of the developmental heterogeneous densification of the network [3] will be the essential key to fulfilling the purpose of 5G's development. Thus, the expanding level of heterogeneity over past and up coming years is a primordial truth that contributes to meeting the demands of the paradigm shift in uplink and downlink requirements, by offering a promising arrangement that utilizes an ultra-dense network to affiliate users suitably. More precisely, this heterogeneity lies in deploying multi-level cellular networks, such as femtocells [4], which are generally portrayed by the transmission power, coverage area, ease of deployment and the cost. However, even with a reasonable arrangement, such as setting these femtocells in high activity territories, most of the user's equipment (UE) will, in any case, receive a most grounded downlink signal from the macrocell station. In the context of thisenvironment, the need for a cost-effective way of managing the uplink and downlink requirements separately for cell association while executing the handover process arises. At the time of writing, a separate association for uplink and downlink in HetNet has been demonstrated such that they can offer higher throughput to static UE. Nevertheless, the situation with mobile UE is quite a complicated issue, since mobile UE will frequently leave base stations and will cross an extensive number of new cells. In this respect, the proposed handover approach will take the femtocells into consideration to exploit the gain revealed by femtocells to the next-generation wireless network [5]. However, it is quite possible that mobile UE captures the higher downlink rate from macro BS, while for the same mobile UE, it will obtain a beneficial uplink rate if it is associated with the nearby femto BS. For this reason, the proposed handover scheme will embrace a new concept to choose the BS to deal with, among macro BSs and femto BSs. In such a context, we consider an uplink execution during the association step for the handover procedure to meet the service requirements. Therefore, along these lines, unlike a conventional handover, we handle the case where the selected BS for the downlink handover may not be valuable for the uplink handover [6]. Using the decoupled uplink-downlink (DUDe) approach [5] for a mobile UE association, we give the possibility to a mobile UE to deal with two BSs in the downlink and uplink independently. Otherwise, while adopting this approach for the handover process, the positive effects are two-fold by improving uplink emission control, and as an obvious consequence, we will enhance the uplink interference state and promote transmit power reduction for UE. In this context, to resolve the problem of the applicability of the centralized optimization approach in a heterogeneous context, we adjust the handover process to a matching game with externalities adapted to a mobile UE. Thus, we give a distributed solution to maximize the gain of all the components of a heterogeneous network while preserving a load balancing that guarantees a required quality of service (QoS). The integration of the matching game will provide a robust mathematical tool to model and to analyze distributed interactions between entities with opposing interests, as well as to ensure equity since BSs cannot individually try to maximize their success due to their restricted rationality. In this way, our commitment will be arranged towards a mobile UE association.