A co-existence scenario of femtocells and macrocells

What is it about?

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 conflicts 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.

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Photo by Enrique Ortega Miranda on Unsplash

Photo by Enrique Ortega Miranda on Unsplash

Why is it important?

On the whole, the advantages of the proposed model are listed as below: 1) It is worthy for short distance and long distance communication, respectively and also this gives the better performance evaluation in contrast to the other channel models. 2) The capability to obtain comparatively plain expressions and manifest explanatory comprehensions on the system model accomplishment, mainly in the restriction of a multi-layer networks co-existence scenario. 3) A model of remarkable versatility as it can allow fine-tune the parameters such as weighting factor and SINR, respectively, to apprehend different propagation characteristics. 4) The physical interpretation for some values of weighting factor has been investigated in the section III. 5) The practicality of this model is suitable for the implementation as it is bounded and continuous. In spite of the above, the number of shortcomings can also be identified. The proposed model is restricted to a two-tier model of the heterogeneous cellular networks, although it can extend for even more tiers but for that it is recommended to incorporate well established path loss models as special case. Thus, neither it can be claimed that the versatility and practicality of the system model is the best network model nor that it can take the place of existing heterogeneous network models. Preferably, it is an another proposed model which is appropriate for vehicular communications and it permits us to demonstrate interesting findings that could be perceived in practice.

Perspectives