Resource Allocation Method of Device-to-Device Communication

Abstract

In this paper, we study D2D (Device-to-Device) communication underlying LTE-Advanced uplink system. Since D2D communication reuses uplink resources with cellular communication in this scenario, it's hard to avoid the inference between D2D users and cellular users. If there is no restriction for D2D communication on using the whole uplink frequency band, it will have a strong negative impact on cellular communication. In order to overcome this shortage, we propose a resource allocation method that D2D users and cellular users use orthogonal frequency resources. This method will effectively reduce the inference between both kinds of communication. However, an obvious disadvantage of this method is no effective use of uplink resources. Based on this, we propose an optimized resource allocation method that a specific cellular user will be chosen to reuse the RBs (Resource Block) of D2D users. These ideas will be taken into system-level simulation, and from the results of simulation we can see that the optimized method has the ability to improve overall system performance and limit inference for cell-edge users.

An Approach to Maximize the Admitted Device-to-Device Pairs in MU-MIMO Cellular Networks

“…In order to determine the number of users that can share a spectrum with minimal inference, some studies have examined the selection of the admittance order of shared users [19][20][21][22][23][24][25]. Among these studies, the research target of [19][20][21][22] is the number of admitted users, while [23][24][25] mainly focuses on maximizing the sum rate, which is achieved by adjusting the order of the users admitted.…”

“…In order to determine the number of users that can share a spectrum with minimal inference, some studies have examined the selection of the admittance order of shared users [19][20][21][22][23][24][25]. Among these studies, the research target of [19][20][21][22] is the number of admitted users, while [23][24][25] mainly focuses on maximizing the sum rate, which is achieved by adjusting the order of the users admitted. Notably, the all channel state information (AllCSI) algorithm is proposed in [20], which considers the problem of joint power and admission control in uplink cellular networks where both primary and secondary users have quality of service (QoS) constraints.…”