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

Hao, Yuanyuan and Ni, Qiang and Li, Hai and Hou, Shujuan (2018) Robust Multi-Objective Optimization for EE-SE Tradeoff in D2D Communications Underlaying Heterogeneous Networks. IEEE Transactions on Communications, 66 (10). pp. 4936-4949. ISSN 0090-6778

[img]
Preview
PDF (FINAL VERSION_updated)
FINAL_VERSION_updated.pdf - Accepted Version
Available under License Creative Commons Attribution.

Download (1MB)

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.

Item Type:
Journal Article
Journal or Publication Title:
IEEE Transactions on Communications
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2200/2208
Subjects:
ID Code:
126859
Deposited By:
Deposited On:
13 Aug 2018 14:54
Refereed?:
Yes
Published?:
Published
Last Modified:
29 Feb 2020 06:10