An Energy- Efficient User Centric Approach High Capacity SG Heterogeneous Cellular Networks
Product Description
Abstract:
While the concept of ultra-dense small cell networks
(SCNs) has brought a number of significant opportunities for the
telecommunication industry, it has also introduced a major challenge for
researchers, who must develop techniques to reduce the sharp increase in power
consumption that will be required to backhaul traffic from SCNs to the core
network. In this research, we investigate the green backhauling challenge for a
fifth generation (5G) wireless communication network that uses both the passive
optical network (PON) and millimeter wave (mmWave) backhauling to support its
diverse groups of customers and applications. Our approach is based on the fact
that the energy efficiency figures for the PON and the mmWave technologies are
different under a given load condition. The PON technology is more energy
efficient under heavy load conditions, whereas the mmWave technology offers
better energy efficiency under low load conditions. As such, in response to
varying traffic loads during various hours of the day, a fixed backhauling
strategy is insufficient to guarantee the minimum power consumption and the
required data rates. We formulate an optimization problem that considers the
estimated hourly traffic load and determines the most energy efficient
backhauling strategy for various hours of the day. Considering the complexity
of the optimization problem, we also propose an energy efficient heuristic
solution to solve this problem. Simulation results indicate that the proposed
solution provides up to 32% more energy savings than the existing solution.
Proposed System
In our Proposed work, we will further investigate this along with other energy-saving mechanisms (e.g.,sleep mode for lightly loaded RRUs) for C-RANs.The proposed work is most advantageous since the lightly loaded system reduce the power wastages.
Advantages
in Proposed System
- Programmable Mode of operation to save Energy
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