Optimal Resource Allocation Scheme for Satisfying the Data Rate Requirement in Hybrid Network of D2D-Cellular

Liu, Wenwen; Yang, Yang; Peng, Tao; Wang, Wenbo

doi:10.4304/jcp.9.5.1218-1225

Cited by 4 publications

(4 citation statements)

References 20 publications

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“…And the algorithm presented in [3] is better than the orthogonal subcarrier allocation due to the benefit of frequency reuse. Furthermore, the fixed power scheme has the worst performance because it takes no measures to optimize the secure capacity performance 14 Fig. 5 illustrates the relationship between the number of LUEs and the average secrecy capacity per LUE to evaluate the impact of the number of UEs to the whole network.…”

Section: B Secure Capacity Performances Of the Proposed Solutionsmentioning

confidence: 99%

“…To improve SE, the resource allocation should be optimized for D2D communication underlaying HetNets, which is a non-convex optimization problem. The non-convex optimization problem has been extensively researched, in which the Lagrangian dual method has been widely used [13], [14]. However, it is assumed that the interference from cellular users to D2D users is constant in [13] and the inter-tier interference between cellular users and D2D users is replaced by the maximum allowed noise in [14].…”

Section: Introductionmentioning

confidence: 99%

“…The non-convex optimization problem has been extensively researched, in which the Lagrangian dual method has been widely used [13], [14]. However, it is assumed that the interference from cellular users to D2D users is constant in [13] and the inter-tier interference between cellular users and D2D users is replaced by the maximum allowed noise in [14]. These assumptions simplify the problem and cannot achieve the best performance.…”

mentioning

confidence: 99%

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Secrecy-Optimized Resource Allocation for Device-to-Device Communication Underlaying Heterogeneous Networks

Zhang

Peng

Zhang

et al. 2017

IEEE Trans. Veh. Technol.

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Abstract-Device-to-device (D2D) communications recently have attracted much attention for its potential capability to improve spectral efficiency underlaying the existing heterogeneous networks (HetNets). Due to no sophisticated control, D2D user equipments (DUEs) themselves cannot resist eavesdropping or security attacks. It is urgent to maximize the secure capacity for both cellular users and DUEs. This paper formulates the radio resource allocation problem to maximize the secure capacity of DUEs for the D2D communication underlaying HetNets which consist of high power nodes and low power nodes. The optimization objective function with transmit bit rate and power constraints, which is non-convex and hard to be directly derived, is firstly transformed into matrix form. Then the equivalent convex form of the optimization problem is derived according to the Perron-Frobenius theory. A heuristic iterative algorithm based on the proximal theory is proposed to solve this equivalent convex problem through evaluating the proximal operator of Lagrange function. Numerical results show that the proposed radio resource allocation solution significantly improves the secure capacity with a fast convergence speed.

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Section: B Secure Capacity Performances Of the Proposed Solutionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Secrecy-Optimized Resource Allocation for Device-to-Device Communication Underlaying Heterogeneous Networks

Zhang

Peng

Zhang

et al. 2017

IEEE Trans. Veh. Technol.

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“…D2D communication is, in fact integrated into LTE-Advanced networks in[100,101]. RRA for D2D communication underlaying cellular networks are currently being extensively investigated by researchers in terms of spectral efficiency[16,[102][103][104][105][106][107] and in terms of energy efficiency[108,109].…”

mentioning

confidence: 99%

Resource allocation strategies in cognitive radio D2D communication networks

Sultana¹

2021

Preprint

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Device-to-device (D2D) communication is developed as a new paradigm to enhance net- work performance according to LTE and WiMAX advanced standards. On the other hand, cognitive radio (CR) approach provides efficient spectral usage using intelligent wireless nodes. In this thesis, a number of optimal resource allocation strategies for D2D communi- cation networks are investigated using the CR approach. As a first step, the CR approach in radio access networks is introduced. In the second step, the taxonomy of the RA process in CRNs is provided. For radio resource allocation (RRA), the most crucial task is to associate a user with a particular serving base station, to assign the channel and to allocate the power efficiently. In this thesis, a subcarrier assignment scheme and a power allocation algorithm using geometric water-filling (GWF) is presented for orthogonal frequency division multiplexing (OFDM) based CRNs. This algorithm is proved to maximize the sum rate of secondary users by allocating power more efficiently. Then, the RA problem is studied to jointly employ CR technology and D2D communication in cellular networks in terms of spectral efficiency (SE) and energy efficiency (EE). In the first case, in terms of SE, a two-stage approach is considered to allocate the radio resource efficiently where a new adaptive subcarrier allocation (ASA) scheme is designed first and then a novel power allocation (PA) scheme is developed utilizing proven GWF approach that can compute exact solution with less computation. In the second case, in terms of EE, the power allocation problem of cellular networks that co-exist with D2D communication considering both underlay and overlay CR approaches are investigated. A proven power allocation algorithm based on GWF approach is utilized to solve the EE maximization problem which results in an “exact" and “low complexity" solution.

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Joint mode selection and power allocation for better traffic offloading in D2D communications

2018

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Optimal Resource Allocation Scheme for Satisfying the Data Rate Requirement in Hybrid Network of D2D-Cellular

Cited by 4 publications

References 20 publications

Secrecy-Optimized Resource Allocation for Device-to-Device Communication Underlaying Heterogeneous Networks

Secrecy-Optimized Resource Allocation for Device-to-Device Communication Underlaying Heterogeneous Networks

Resource allocation strategies in cognitive radio D2D communication networks

Joint mode selection and power allocation for better traffic offloading in D2D communications

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