Recent Advances in Underlay Heterogeneous Networks: Interference Control, Resource Allocation, and Self-Organization

Peng, Mugen; Wang, Chonggang; Li, Jian; Xiang, Haige; Lau, Vincent K. N.

doi:10.1109/comst.2015.2416772

Cited by 176 publications

(87 citation statements)

References 157 publications

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“…In addition, the increasing number of devices using wireless communication is gradually demanding more capacity [1] [2]. For this the cooperative communication such as coordinated resource allocation, cooperative multi-input multi-output (MIMO), and interference cancellation in the receiver has been studied extensively [3]. Moreover, researches for the cooperative communication in LTE standardization such as network assisted interference cancellation and suppression (NAICS) [4] and multi-user superposition transmission (MUST) [5] with non-orthogonal multiple access (NOMA) [6] are in progress.…”

Section: Introductionmentioning

confidence: 99%

A cooperative retransmission scheme in high dense networks

Kim

Shin

2015

2015 International Conference on Information and Communication Technology Convergence (ICTC)

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In this paper, we propose a cooperative retransmission scheme in a high dense network. The propose scheme applies a close-loop MIMO scheme for the retransmission. And, we consider the property of which the interference node is similar between the initial transmission and the retransmission. Then the transmitted node can retransmit the precoded signal considering interference for multiple pair nodes. The performance evaluation shows that the proposed scheme results in the performance gain from the point of view of the success probability of data detection in spite of the increase of feedback messages.

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Section: Introductionmentioning

confidence: 99%

A cooperative retransmission scheme in high dense networks

Kim

Shin

2015

2015 International Conference on Information and Communication Technology Convergence (ICTC)

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“…Nevertheless, the random deployment of a diverse set of small cells in HetNets makes resource management become increasingly complicated, because each tier of small cell base stations, e.g., the pico-tier and femto-tier, consisting of picocells and femtocells, respectively, is likely to have distinctly different characteristics [8,9]. The existing macrocell base stations (MBSs) are regularly deployed and with high transmission power such as to provide wide-range coverage and wireless access for the mobile users [9].…”

Section: Introductionmentioning

confidence: 99%

Analytical Study on Multi-Tier 5G Heterogeneous Small Cell Networks: Coverage Performance and Energy Efficiency

Xiao

Liu

Havyarimana

et al. 2016

Sensors

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In this paper, we investigate the coverage performance and energy efficiency of multi-tier heterogeneous cellular networks (HetNets) which are composed of macrocells and different types of small cells, i.e., picocells and femtocells. By virtue of stochastic geometry tools, we model the multi-tier HetNets based on a Poisson point process (PPP) and analyze the Signal to Interference Ratio (SIR) via studying the cumulative interference from pico-tier and femto-tier. We then derive the analytical expressions of coverage probabilities in order to evaluate coverage performance in different tiers and investigate how it varies with the small cells’ deployment density. By taking the fairness and user experience into consideration, we propose a disjoint channel allocation scheme and derive the system channel throughput for various tiers. Further, we formulate the energy efficiency optimization problem for multi-tier HetNets in terms of throughput performance and resource allocation fairness. To solve this problem, we devise a linear programming based approach to obtain the available area of the feasible solutions. System-level simulations demonstrate that the small cells’ deployment density has a significant effect on the coverage performance and energy efficiency. Simulation results also reveal that there exits an optimal small cell base station (SBS) density ratio between pico-tier and femto-tier which can be applied to maximize the energy efficiency and at the same time enhance the system performance. Our findings provide guidance for the design of multi-tier HetNets for improving the coverage performance as well as the energy efficiency.

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“…However, the introduction of femtocells will bring cross-layer interference between macro base stations and femtocells. The macro users located around femtocells tend to be highly subject to the strong interference of femtocells, thereby lowering the overall performance of system, especially the throughput [4]. In order to solve the above problems within academia, there are some cases using resources allocation method.…”

Section: Introductionmentioning

confidence: 99%

Game Algorithm for Resource Allocation Based on Intelligent Gradient in HetNet

Dai

2017

Symmetry

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Abstract:In order to improve system performance such as throughput, heterogeneous network (HetNet) has become an effective solution in Long Term Evolution-Advanced (LET-A). However, co-channel interference leads to degradation of the HetNet throughput, because femtocells are always arranged to share the spectrum with the macro base station. In this paper, in view of the serious cross-layer interference in double layer HetNet, the Stackelberg game model is adopted to analyze the resource allocation methods of the network. Unlike the traditional system models only focusing on macro base station performance improvement, we take into account the overall system performance and build a revenue function with convexity. System utility functions are defined as the average throughput, which does not adopt frequency spectrum trading method, so as to avoid excessive signaling overhead. Due to the value scope of continuous Nash equilibrium of the built game model, the gradient iterative algorithm is introduced to reduce the computational complexity. As for the solution of Nash equilibrium, one kind of gradient iterative algorithm is proposed, which is able to intelligently choose adjustment factors. The Nash equilibrium can be quickly solved; meanwhile, the step of presetting adjustment factors is avoided according to network parameters in traditional linear iterative model. Simulation results show that the proposed algorithm enhances the overall performance of the system.

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Recent Advances in Underlay Heterogeneous Networks: Interference Control, Resource Allocation, and Self-Organization

Cited by 176 publications

References 157 publications

A cooperative retransmission scheme in high dense networks

A cooperative retransmission scheme in high dense networks

Analytical Study on Multi-Tier 5G Heterogeneous Small Cell Networks: Coverage Performance and Energy Efficiency

Game Algorithm for Resource Allocation Based on Intelligent Gradient in HetNet

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