Joint Uplink and Downlink Resource Allocation for D2D Communications System

Abstract

In cellular networks, device-to-device communications can increase the spectrum efficiency, but some conventional schemes only consider uplink or downlink resource allocation. In this paper, we propose the joint uplink and downlink resource allocation scheme which maximizes the system capacity and guarantees the signal-to-noise-and-interference ratio of both cellular users and device-to-device pairs. The optimization problem is formulated as a mixed integer nonlinear problem that is usually NP hard. To achieve the reasonable resource allocation, the optimization problem is divided into two sub-problems including power allocation and channel assignment. It is proved that the objective function of power control is a convex function, in which the optimal transmission power can be obtained. The Hungarian algorithm is developed to achieve joint uplink and downlink channel assignment. The proposed scheme can improve the system capacity performance and increase the spectrum efficiency. Numerical results reveal that the performance of the proposed scheme of jointly uplink and downlink is better than that of the schemes for independent allocation.

Resource Allocation with a Rate Guarantee Constraint in Device-to-Device Underlaid Cellular Networks

“…In this paper, we assume that the CSI of all possible combinations of the links is available at the BS, which may require indispensable CSI feedback. However, this assumption has been widely used in previous literature for performance evaluation [7][8][9][11][12][13][14][15][16][17][18][19]. Figure 1b illustrates a channel assignment scheme, where each channel with a fixed channel bandwidth is pre-assigned to one CU before the channel assignment.…”

“…Therefore, interference management must be applied to effectively handle the interference, and to guarantee a certain degree of quality of service (QoS). In the literature, various power control and resource allocation schemes have been proposed to guarantee QoS requirements in terms of signal-to-interference-plus-noise ratio (SINR) or minimum required data rate [8][9][10][11][12][13][14][15][16][17]. In [8], a power control scheme was studied to maximize the sum of the achievable data rates of a CU-DU pair.…”

“…Joint power control and resource allocation schemes were proposed in [11][12][13][14][15][16][17]. A single DU is assigned to only one channel, and vice versa in [11,12], whereas multiple DUs are allowed to be assigned to the same channel in [13,14]. In addition, a DU is allowed to be assigned to multiple channels in [15][16][17].…”

“…In most previous sum rate or energy efficiency maximization schemes [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22], even though SINR or minimum data rate per UE was considered as a constraint, the individual data rate may not be guaranteed with a fixed amount of channel bandwidth. When the received SINR is low due to high interference and maximum transmit power limitation, the fixed channel bandwidth may not be wide enough to guarantee the target rate.…”

Bayesian Coalition Game for Overlay D2D Spectrum Sharing in Cellular Networks

“…A lot of research has been done in controlling interference from D2D users underlaying cellular networks. A few papers also considered interference control in D2D communication overlaying cellular networks (Song et al, 2019), (Safdar et al, 2016). Some other papers considered using a minimum distance constraint between cellular users (CUs) and D2D users to limit interference in cellular networks (Lee et al, 2014).…”