Abstract
Obtaining large spectral efficiency (SE) and energy efficiency (EE) subject to quality of experience (QoE) is one of the prime concerns for the wireless next generation networks, however a major confrontation with its trade-off which is becoming apparent while optimizing both SE and EE parameters concurrently. In this work, an analytical framework for a cognitive-femtocell network is proposed to be dealt with and overcome the situations regarded as unwelcome. Here, the conflict of SE-EE trade-off in downlink (DL) transmission is expressed methodically by Pareto Optimal Set (POS) based on a multi-empirical most effective use of a resource scheme as a function of femto base station (FBS) and macro base station (MBS) transmit power and base station (BS) density, respectively. Then, SE and EE are formulated in a utility function by applying Cobb-Douglas production function to transform the multi-empirical difficulty into the single-empirical optimization case. Besides, it is analytically shown that the SE-EE trade-off can be optimize through a distinctive universal optimum among the Pareto optimal by fine-tuning the weighting metric other than BS transmit power and density, respectively. Simulation results validate that it is possible to obtain the EE-SE trade-off with SINR threshold at different weighting factor.
Highlights
Nowadays heterogeneous cellular networks (HetNets) in wireless communication compose of macro base stations (MBSs), where each MBS is overspread with number of femto base stations (FBSs)
In [1], the cognitive-femtocell network scenario consisting of macro base station (MBSs) positioned in a circular grid shape whilst the femtocells are indiscriminately located within the network coverage of each MBS
The EE response alongside the maximal optimal power tuning (OPT) metrics for optimizing the EE are computed in [19] applying a model that describes the structure of cell membranes for estimating the interference achieved at a precise cell of interest presuming that the unwanted FBSs are positioned exterior to that of the macrocell network coverage circles of constant radius
Summary
Nowadays heterogeneous cellular networks (HetNets) in wireless communication compose of macro base stations (MBSs), where each MBS is overspread with number of femto base stations (FBSs). In [1], the cognitive-femtocell network scenario consisting of macro base station (MBSs) positioned in a circular grid shape whilst the femtocells are indiscriminately located within the network coverage of each MBS Provided this network framework, presented in [2], an optimal FBS number can possible achieve with respect to a macrocell which optimizes the efficiency level of the network performance at different traffic. The efficacy of performance on the capacity whilst experiencing the smallest amount of power dissipation in DL at the FBSs is presented in [22], [24] where the power attenuations obtained are an outcome of executing a adaptive power tune method at the FBSs. The SE response of a two-layer wireless network with the DL OPT approach is probed in [20], [21], [25] applying Stochastic Geometry Tools where outstanding performance are exhibited by adjusting the FBS transmit power depending upon path loss between a FBS and an UE
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