Robust Resource Allocation and Power Splitting in SWIPT Enabled Heterogeneous Networks: A Robust Minimax Approach

Xu, Yongjun; Li, Guoquan; Yang, Yang; Liu, Miao; Gui, Guan

doi:10.1109/jiot.2019.2941897

Cited by 63 publications

(22 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Despite this approach's effectiveness, this method sometimes becomes ineffective for highly dense urban scenarios where there are obstacles like building high traffic because of a huge number of users [10,11]. The deterministic method decreases rapidly due to such high fluctuations of cell load and the presence of skyscrapers that affects the network geometry negatively [12]. Therefore, stochastic geometry was introduced to predict the probabilistic parameters of randomly designed HetNet and the stochastic approach is showing better solutions [13].…”

Section: Related Workmentioning

confidence: 99%

“…From (12), one can observe that it is nonconvex quadratic function. Due to this reason, the problem in (13) can be categorized as a nonconvex combinatorial problem.…”

Section: Problem Transformationmentioning

confidence: 99%

“…In this section, we apply semidefinte relaxation technique to solve the nonconvex problems in (17) and (18). We first modify the quality of service constraint in (12)…”

Section: Proposed Solutionmentioning

confidence: 99%

See 2 more Smart Citations

Efficient Power Control Framework for Small-Cell Heterogeneous Networks

Alsafasfeh

Saraereh

Ali

et al. 2020

Sensors

View full text Add to dashboard Cite

Heterogeneous networks are rapidly emerging as one of the key enablers of beyond fifth-generation (5G) wireless networks. It is gradually becoming clear to the network operators that existing cellular networks may not be able to support the traffic demands of the future. Thus, there is an upsurge in the interest of efficiently deploying small-cell networks for accommodating a growing number of user equipment (UEs). This work further extends the state-of-the-art by proposing an optimization framework for reducing the power consumption of small-cell base stations (BSs). Specifically, a novel algorithm has been proposed which dynamically switches off the redundant small-cell BSs based on the traffic demands of the network. Due to the dynamicity of the formulated problem, a new UE admission control policy has been presented when the problem becomes infeasible to solve. To validate the effectiveness of the proposed solution, the simulation results are compared with conventional techniques. It is shown that the proposed power control solution outperforms the conventional approaches both in terms of accommodating more UEs and reducing power consumption.

show abstract

Section: Related Workmentioning

confidence: 99%

“…From (12), one can observe that it is nonconvex quadratic function. Due to this reason, the problem in (13) can be categorized as a nonconvex combinatorial problem.…”

Section: Problem Transformationmentioning

confidence: 99%

See 1 more Smart Citation

Efficient Power Control Framework for Small-Cell Heterogeneous Networks

Alsafasfeh

Saraereh

Ali

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…Obviously, problem (6) is a mixed integer and non-convex FP problem with variables α m,i and p m,i , which is difficult to directly obtain the closed-form solutions. Moreover, problem (6) belongs to a non-robust optimization problem with perfect CSI since there is no channel estimation errors in variables g m,k and h m,i [5]. However, the assumption of perfect CSI is unreasonable for practical wireless communication systems.…”

Section: System Modelmentioning

confidence: 99%

Joint User Association and Power Allocation in Heterogeneous NOMA Networks With Imperfect CSI

Wang

et al. 2020

IEEE Access

Self Cite

View full text Add to dashboard Cite

Non-orthogonal multiple access (NOMA)-enabled heterogeneous networks (N-HetNets) can provide higher system capacity and spectrum efficiency by allowing multiple users cooperating in the same channel. However, traditional resource allocation algorithms are achieved under perfect channel state information (CSI) which is difficult to obtain in practical systems. In this paper, we study the total energy efficiency maximization problem in a downlink multicell N-HetNets under imperfect CSI, where the constraints of the quality of service of small-cell users, the maximum transmit power, and the cross-tier interference are considered. With the help of the ellipsoidal uncertainty sets, an iterative-based power allocation and user association algorithm is proposed based on the worst-case approach and the Lagrange dual method. Moreover, computational complexity, robust sensitivity and the impact of imperfect CSI error on user's outage probability are provided to insight the performance of the proposed algorithm. Simulation results demonstrate the robustness of the proposed algorithm.

show abstract

“…It is well-known that HetNets can obviously improve system coverage and network capacity gain by deploying small cells underlying the macrocell network [24]- [26]. The power allocation and beamforming design at the small cell BS (SBS) is applicable to improve the communication quality of indoor users and suppress the mutual interference or inter-cell interference (ICI) [27], [28].…”

Section: B Motivation and Contributionsmentioning

confidence: 99%

Resource Allocation for Intelligent Reflecting Surface Enabled Heterogeneous Networks

Xu¹,

Qin²,

Zhao³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

Intelligent reflecting surface (IRS)-enabled communication systems provide higher system capacity and spectral efficiency by reflecting the incident signals from transmitters in a low-cost passive reflecting way. However, it poses new challenges in resource allocation due to surrounding interference and phase shift, especially when IRS is employed in heterogeneous networks (HetNets). In this paper, a joint power allocation and phase shift optimization problem is studied for the downlink IRS-enabled HetNet, in which the IRS is deployed to enhance the communications between small cell users (SCUs) and associated base station (BS). The signal-to-interference-plus-noise ratio (SINR) received at the SCU is maximized by jointly optimizing the transmit power of the small-cell BS and the phase shift of the IRS, subject to the constraints on the minimum SINR requirement of the macro-cell user (MCU) and the phase shift. Although the formulated problem is non-convex, we develop an optimal power allocation and the IRS's passive array coefficient solution for the single-user scenario. For the multi-user scenario, we propose an iterative algorithm to maximize the total rates of SCUs for obtaining a suboptimal solution by an alternating iteration manner, where the sum of multiple-ratio fractional programming problem is converted into a convex semidefinite program (SDP) problem. Simulation results show that the proposed algorithm significantly improves the achieved transmission rates of SCUs compared to the case without the IRS.

show abstract

Robust Resource Allocation and Power Splitting in SWIPT Enabled Heterogeneous Networks: A Robust Minimax Approach

Cited by 63 publications

References 47 publications

Efficient Power Control Framework for Small-Cell Heterogeneous Networks

Efficient Power Control Framework for Small-Cell Heterogeneous Networks

Joint User Association and Power Allocation in Heterogeneous NOMA Networks With Imperfect CSI

Resource Allocation for Intelligent Reflecting Surface Enabled Heterogeneous Networks

Contact Info

Product

Resources

About