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Robust Multi-Objective Optimization for EE-SE Tradeoff in D2D Communications Underlaying Heterogeneous Networks

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Robust Multi-Objective Optimization for EE-SE Tradeoff in D2D Communications Underlaying Heterogeneous Networks. / Hao, Yuanyuan; Ni, Qiang; Li, Hai et al.
In: IEEE Transactions on Communications, Vol. 66, No. 10, 10.2018, p. 4936-4949.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Hao, Y, Ni, Q, Li, H & Hou, S 2018, 'Robust Multi-Objective Optimization for EE-SE Tradeoff in D2D Communications Underlaying Heterogeneous Networks', IEEE Transactions on Communications, vol. 66, no. 10, pp. 4936-4949. https://doi.org/10.1109/TCOMM.2018.2834920

APA

Hao, Y., Ni, Q., Li, H., & Hou, S. (2018). Robust Multi-Objective Optimization for EE-SE Tradeoff in D2D Communications Underlaying Heterogeneous Networks. IEEE Transactions on Communications, 66(10), 4936-4949. https://doi.org/10.1109/TCOMM.2018.2834920

Vancouver

Hao Y, Ni Q, Li H, Hou S. Robust Multi-Objective Optimization for EE-SE Tradeoff in D2D Communications Underlaying Heterogeneous Networks. IEEE Transactions on Communications. 2018 Oct;66(10):4936-4949. Epub 2018 May 10. doi: 10.1109/TCOMM.2018.2834920

Author

Hao, Yuanyuan ; Ni, Qiang ; Li, Hai et al. / Robust Multi-Objective Optimization for EE-SE Tradeoff in D2D Communications Underlaying Heterogeneous Networks. In: IEEE Transactions on Communications. 2018 ; Vol. 66, No. 10. pp. 4936-4949.

Bibtex

@article{5b29db6e07914f3bb4ec5575ab33105e,
title = "Robust Multi-Objective Optimization for EE-SE Tradeoff in D2D Communications Underlaying Heterogeneous Networks",
abstract = "In this paper, we concentrate on the robust multiobjective optimization (MOO) for the tradeoff between energy efficiency (EE) and spectral efficiency (SE) in device-to-device (D2D) communications underlaying heterogeneous networks (HetNets). Different from traditional resource optimization, we focus on finding robust Pareto optimal solutions for spectrum allocation and power coordination in D2D communications underlaying HetNets with the consideration of interference channel uncertainties. The problem is formulated as an uncertain MOO problem to maximize EE and SE of cellular users (CUs) simultaneously while guaranteeing the minimum rate requirements of both CUs and D2D pairs.With the aid of {"}-constraint method and strict robustness, we propose a general framework to transform the uncertain MOO problem into a deterministic single-objective optimization problem. As exponential computational complexity is required to solve this highly non-convex problem, the power coordination and the spectrum allocation problems are solved separately, and an effective two-stage iterative algorithm is developed. Finally, simulation results validate that our proposed robust scheme converges fast and significantly outperforms the non-robust scheme in terms of the effective EE-SE tradeoff and the quality of service satisfying probability of D2D pairs.",
author = "Yuanyuan Hao and Qiang Ni and Hai Li and Shujuan Hou",
year = "2018",
month = oct,
doi = "10.1109/TCOMM.2018.2834920",
language = "English",
volume = "66",
pages = "4936--4949",
journal = "IEEE Transactions on Communications",
issn = "0090-6778",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "10",

}

RIS

TY - JOUR

T1 - Robust Multi-Objective Optimization for EE-SE Tradeoff in D2D Communications Underlaying Heterogeneous Networks

AU - Hao, Yuanyuan

AU - Ni, Qiang

AU - Li, Hai

AU - Hou, Shujuan

PY - 2018/10

Y1 - 2018/10

N2 - In this paper, we concentrate on the robust multiobjective optimization (MOO) for the tradeoff between energy efficiency (EE) and spectral efficiency (SE) in device-to-device (D2D) communications underlaying heterogeneous networks (HetNets). Different from traditional resource optimization, we focus on finding robust Pareto optimal solutions for spectrum allocation and power coordination in D2D communications underlaying HetNets with the consideration of interference channel uncertainties. The problem is formulated as an uncertain MOO problem to maximize EE and SE of cellular users (CUs) simultaneously while guaranteeing the minimum rate requirements of both CUs and D2D pairs.With the aid of "-constraint method and strict robustness, we propose a general framework to transform the uncertain MOO problem into a deterministic single-objective optimization problem. As exponential computational complexity is required to solve this highly non-convex problem, the power coordination and the spectrum allocation problems are solved separately, and an effective two-stage iterative algorithm is developed. Finally, simulation results validate that our proposed robust scheme converges fast and significantly outperforms the non-robust scheme in terms of the effective EE-SE tradeoff and the quality of service satisfying probability of D2D pairs.

AB - In this paper, we concentrate on the robust multiobjective optimization (MOO) for the tradeoff between energy efficiency (EE) and spectral efficiency (SE) in device-to-device (D2D) communications underlaying heterogeneous networks (HetNets). Different from traditional resource optimization, we focus on finding robust Pareto optimal solutions for spectrum allocation and power coordination in D2D communications underlaying HetNets with the consideration of interference channel uncertainties. The problem is formulated as an uncertain MOO problem to maximize EE and SE of cellular users (CUs) simultaneously while guaranteeing the minimum rate requirements of both CUs and D2D pairs.With the aid of "-constraint method and strict robustness, we propose a general framework to transform the uncertain MOO problem into a deterministic single-objective optimization problem. As exponential computational complexity is required to solve this highly non-convex problem, the power coordination and the spectrum allocation problems are solved separately, and an effective two-stage iterative algorithm is developed. Finally, simulation results validate that our proposed robust scheme converges fast and significantly outperforms the non-robust scheme in terms of the effective EE-SE tradeoff and the quality of service satisfying probability of D2D pairs.

U2 - 10.1109/TCOMM.2018.2834920

DO - 10.1109/TCOMM.2018.2834920

M3 - Journal article

VL - 66

SP - 4936

EP - 4949

JO - IEEE Transactions on Communications

JF - IEEE Transactions on Communications

SN - 0090-6778

IS - 10

ER -