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

Abstract

Device-to-device (D2D) communication is a crucial technique for various proximity services. In addition to high-rate transmission and high spectral efficiency, a minimum data rate is increasingly required in various applications, such as gaming and real-time audio/video transmission. In this paper, we consider D2D underlaid cellular networks and aim to minimize the total channel bandwidth while every user equipment (UE) needs to achieve a pre-determined target data rate. The optimization problem is jointly involved with matching a cellular UE (CU) to a D2D UE (DU), and with channel assignment and power control. The optimization problem is decoupled into two suboptimization problems to solve power control and channel assignment problems separately. For arbitrary matching of CU, DU, and channel, the minimum channel bandwidth of the shared channel is derived based on signal-to-interference-plus-noise ratio (SINR)-based power control. The channel assignment is a three-dimensional (3-D) integer programming problem (IPP) with a triple (CU, DU, channel). We apply Lagrangian relaxation, and then decompose the 3-D IPP into two two-dimensional (2-D) linear programming problems (LPPs). From intensive numerical results, the proposed resource allocation scheme outperforms the random selection and greedy schemes in terms of average channel bandwidth. We investigate the impact of various parameters, such as maximum D2D distance and the number of channels.

Maximizing Resource Efficiency in Wireless Networks through Virtualization and Opportunistic Channel Allocation

“…Assuming that detecting the available spectrum is less expensive than paying for a permanent spectrum lease, the capacity of the spectrum to be used is probabilistic due to the random access of mobile terminals to the primary range [21,22]. Consequently, when assigning secondary spectrum use to another MVNO, the detection of white holes becomes more challenging [23,24].…”

Optimization of Resource and Energy Utilization in Device-to-Device Communication Under Cellular Network

“…The results of the methods indicate that the proposed approach enhances the capacity of resource allocation. Kwon et al [15] proposed optimization algorithm for the co-channel interference management. The proposed algorithm manages the control unit of base station.…”

“…The problem of resource optimization applied multi-objective particle swarm optimization. The multi-objective particle swarm optimization maps the nonlinear problem of power control and resource allocation in D2D communication [15,16]. The exclusive mutual device degraded the performance of cellular as well as D2D communication.…”

Resource Allocation for GBR Services in D2D-Enabled Communication

“…In our previous study [22], a CU unconditionally shared the channel resource with a DU in a D2D underlaid cellular network. In contrast, in this paper, we consider a D2D-enabled communication where the channel sharing mode is considered, i.e., two orthogonal resources are allocated for a channel in a dedicated mode, or one single resource is shared in a shared mode.…”