TY - GEN

T1 - Throughput and backhaul energy efficiency analysis in two-tier HetNets

T2 - 20th IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks

AU - Pervaiz, Haris Bin

AU - Song, Zhengyu

AU - Musavian, Leila

AU - Ni, Qiang

N1 - ©2015 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2015/9

Y1 - 2015/9

N2 - Fifth Generation (5G) networks will compromise of heterogeneous networks (HetNets) with macrocell overlaid with lower power small cells to achieve higher throughput by offloading users with low signal-to-noise-ratio from macrocell to the small cells. In this paper, we proposed a multi-objective optimization problem (MOP) to jointly investigate the tradeoff between throughput and backhaul energy efficiency (BEE) using !-fair utility function for two different backhauling technologies in downlink transmission scheme of a two-tier HetNets. We then transform the proposed MOP into a single objective optimization problem (SOP) employing the weighted sum method to obtain the complete Pareto Frontier solution set with minimum QoS requirements and rate fairness level !. The transformed SOP is solved in an iterative manner using Lagrangian Dual Decomposition (LDD) with a subgradient method providing a near-optimal solution. Simulation results demonstrate the effectiveness of our proposed approach in reducing the total area power consumption irrespective of the backhauling technology by dynamically adjusting weighting coefficient and rate fairness level !. Our numerical results also demonstrate the fundamental tradeoff between throughput and BEE for different parameters such as weighting coefficient and rate fairness level !.

AB - Fifth Generation (5G) networks will compromise of heterogeneous networks (HetNets) with macrocell overlaid with lower power small cells to achieve higher throughput by offloading users with low signal-to-noise-ratio from macrocell to the small cells. In this paper, we proposed a multi-objective optimization problem (MOP) to jointly investigate the tradeoff between throughput and backhaul energy efficiency (BEE) using !-fair utility function for two different backhauling technologies in downlink transmission scheme of a two-tier HetNets. We then transform the proposed MOP into a single objective optimization problem (SOP) employing the weighted sum method to obtain the complete Pareto Frontier solution set with minimum QoS requirements and rate fairness level !. The transformed SOP is solved in an iterative manner using Lagrangian Dual Decomposition (LDD) with a subgradient method providing a near-optimal solution. Simulation results demonstrate the effectiveness of our proposed approach in reducing the total area power consumption irrespective of the backhauling technology by dynamically adjusting weighting coefficient and rate fairness level !. Our numerical results also demonstrate the fundamental tradeoff between throughput and BEE for different parameters such as weighting coefficient and rate fairness level !.

KW - Backhaul Energy efficiency

KW - Green Comunication

KW - HetNets

KW - Next Generation Networks

KW - Multi-objective Optimisation Problem

U2 - 10.1109/CAMAD.2015.7390483

DO - 10.1109/CAMAD.2015.7390483

M3 - Conference contribution/Paper

SP - 69

EP - 74

BT - 20th IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks

PB - IEEE

Y2 - 7 September 2015 through 9 September 2015

ER -