Energy Efficient Bandwidth Allocation in Heterogeneous Wireless Networks

Abstract

Wireless heterogeneous networks (HetNet) are continuing to bring the industrial networks and intelligent systems more smarter. In heterogeneous networks, energy saving is vital for a sustainable network development, which can be achieved through using various spectrum allocation schemes. It is significant that energy-efficient(EE) spectrum allocation should consider large-scale user behavior, which characterizes the macro BSs that guarantee traffic requirements in non-hotspot regions and the micro BSs that guarantee traffic requirements in hotspot regions. This paper presents four bandwidth allocation schemes for the (a) orthogonal, (b) shared, (c) shared/orthogonal frequency band allocation (SOFA) and (d) shared/orthogonal frequency band allocation under micro BSs transmit power change (SOFA-MPC), where the large-scale user behavior is taken into account. Then we give closed-form formulas of bandwidth allocation schemes which establish the quantitative relationship between the large-scale user behavior and bandwidth allocation strategy. Both theoretical and simulation results show that SOFA scheme is effective in guaranteeing both the demands of the large-scale user behavior and keeping low power consumption than orthogonal allocation scheme and shared scheme. SOFA-MPC scheme has a close relation with the large-scale user behavior too. We give the variation range of transmit power variation bias ? in all circumstances. Simulation and analytical results show that the SOFA-MPC EE is higher than the SOFA EE within the limits of ?.