Energy efficient high capacity HETNET by offloading high QoS users through femto

12/2011; DOI: 10.1109/ICON.2011.6168500


Bandwidth, network performance, QoS and network power consumption are important dilemmas of contemporary telecommunication networks. With ever increasing demand for data services, networks are destined to become denser and more power hungry, essentially increasing the capital and operational expenditure for operators around the world. One of the technological remedies to this situation is heterogeneous networks. In this work, we present a promising attribute of heterogeneous networks by offloading high QoS indoor users through femto. Additionally, we take traffic demand and sparse network deployment into consideration. The traffic demand is expressed in terms of area spectral efficiency and the power consumed in network nodes is expressed in terms of area power consumption [1]. The results suggest that with an increase in femto density the area spectral efficiency of the considered LTE network increases and decreases monotonously for sparse networks. From an operator's point of view, 100% offloading of premium users through femto is energy efficient at all area spectral efficiency targets. From an environmental perspective, 100% offloading of premium users is beneficial at low area spectral efficiency targets, while at high area spectral efficiency targets 40% offloading is energy efficient.

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    • "We remark that, differently to [13] and [14], we consider the power consumption of the system by varying the number of the users within the small BSs and the macrocell. In addition, we take into account the opportunity to switch-off the BSs when there are not users within their coverage. "
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    ABSTRACT: Although the LTE systems provides high data-rate, low latency and spectrum flexibility, the coverage holes due to the cell edge and high interference areas are still an open issue. The Heterogeneous Networks (HetNets) can be a possible solution to this problems. The HetNet paradigms overlaps low power base stations (BSs) with different transmitted powers within a macro cellular coverage. However, the dense deployment of BSs increases the power consumption of the network and, as a consequence, decreases the system performance due to the high inter-cell interference. In this paper, we propose a power control scheme based on green policies in order to enhance the power saving over Heterogeneous Networks (HetNets) in Long Term Evolution (LTE) systems. In particular, the aim of the proposed framework is to increase the energy efficiency of the system, without decreasing the network throughput. An extensive simulation campaign has been conducted through the usage of the Network Simulator 3 (NS-3). The obtained results show that the proposed green power control reduces the power consumption and enhances the energy efficiency of the system without decreases the throughput of both the BSs and users (UEs).
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    ABSTRACT: In this paper, we focus on resource allocation for distributed broadband heterogeneous networks. Considering the fairness among different users, using the game-theoretic diagram, a fair resource allocation scheme is proposed first under each mobile user's minimal rate constraint. Then, an optimal power allocation algorithm is derived based on the Lagrange optimization method. To further improve the convergence speed and reduce the computational complexity, an adaptive scalarization method is proposed. At the end, the persuasive simulation results show that the proposed approach not only enhances the overall system capacity compared with the scheme without power allocation, but also guarantees fairness among all the users.
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    ABSTRACT: Recently, heterogeneous networks (HetNet) have been widely studied as an effective approach to provide high network capacity and coverage, which jointly utilizes the technologies of cognitive radio and cooperative communications. However, the dense and random deployment of small-cells (e.g., micro, pico and femtocells) raises important questions about the energy consumption for HetNets. In this paper, we study the optimal energy efficiency of a two-tier heterogeneous network consists of a macro-cell and many small-cells under coverage performance constraints for different spectrum deployments (including orthogonal and co-channel spectrum deployments). Firstly, we derive the closed-form expressions of coverage performance for each tier based on stochastic geometry. Then the relationship between energy efficiency and the density of small-cells for the two-tier network is evaluated, the optimal density of small-cells that maximize energy efficiency under coverage performance constraints for the two-tier network is obtained. The theoretical analysis is validated by simulations.The results show that the energy efficiency of the two-tier networks with orthogonal spectrum deployment is better than that with co-channel spectrum deployment. The results also show that the optimal density of small-cells for maximal energy efficiency is only dependent on the coverage performance of small-cells in orthogonal spectrum deployment scenario. However, in co-channel spectrum deployment scenario, the optimal density of small-cells for maximal energy efficiency is jointly decided by the coverage performance of both macro-cell and small-cell. This work provides an essential understanding for successful deployment of green heterogeneous networks.
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