Optimal Spectrum Utilization and Flow Controlling In Heterogeneous Network with Reconfigurable Devices

Fairness provisioning in heterogeneous networks is a prime issue for high-rate data flow, wherein the inter-connectivity property among different communication devices provides higher throughput. In Hetnet, optimal resource utilization is required for efficient resource usage. Proper resource allocation in such a network led to higher data flow performance for real-time applications. In view of optimal resource allocation, a resource utilization approach for a reconfigurable cognitive device with spectrum sensing capability is proposed in this paper.  The allocation of the data flow rate at device level is proposed for optimization of network fairness in a heterogeneous network.  A dynamic approach of rate-inference optimization is proposed to provide fairness in dynamic data traffic conditions. The simulation results validate the improvement in offered quality in comparison to multi-attribute optimization

ENERGY EFFICIENCY ANALYSIS FOR LTE-A HETEROGENEOUS CELLULAR NETWORK

Existing cellular network gives us the large network coverage as well as network capacity but in many cases it fails to achieve predicted data rates for the seamless wireless communication. Moreover there is a tremendous increase in wireless device users so the data rates and network capacity offered by conventional cellular network is not sufficient. So the effort to suppress base-stations power consumption are desperately needed and for that heterogeneous cellular network has been introduced. This paper provides the complete analysis of energy efficient wireless systems for heterogeneous cellular network as it has been pointed out to be one of the key network architectures that help to increase system capacity and reduce power consumption. Heterogeneous network with coordinated multi-point has received significant attention as a way of achieving energy efficiency and to improve the network handling capacity in heterogeneous cellular network. Usually in communication those users which are on the edge of the cells always suffer with the low data rates and low capacity. Moreover they get interference from the adjacent cells. To mitigate these problems and achieve higher energy efficiency Heterogeneous network with coordinated multi-point came out as one of the best solutions. In this paper heterogeneous network is considered with the Voronoi tessellation and between the cells coordinated multi-point technique is applied and compared with the non- coordinated multipoint scenario. Heterogeneous network is the integrated part of the beyond 4G wireless network for better energy efficiency

Energy and Spectral Efficiency Balancing Algorithm for Energy Saving in LTE Downlinks

In wireless network communication environments, Spectral Efficiency (SE) and Energy Efficiency (EE) are among the major indicators used for evaluating network performance. However, given the high demand for data rate services and the exponential growth of energy consumption, SE and EE continue to elicit increasing attention in academia and industries. Consequently, a study of the trade-off between these metrics is imperative. In contrast with existing works, this study proposes an efficient SE and EE trade-off algorithm for saving energy in downlink Long Term Evolution (LTE) networks to concurrently optimize SE and EE while considering battery life at the Base Station (BS). The scheme is formulated as a Multi-objective Optimization Problem (MOP) and its Pareto optimal solution is examined. In contrast with other algorithms that prolong battery life by considering the idle state of a BS, thereby increasing average delay and energy consumption, the proposed algorithm prolongs battery life by adjusting the initial and final states of a BS to minimize the average delay and the energy consumption. Similarly, the use of an omni-directional antenna to spread radio signals to the user equipment in all directions causes high interference and low spatial reuse. We propose using a directional antenna instead of an omni-directional antenna by transmitting signals in one direction which results in no or low interference and high spatial reuse. The proposed scheme has been extensively evaluated through simulation, where simulation results prove that the proposed scheme is efficiently able to decrease the average response delay, improve SE, and minimize energy consumption.Comment: 19 page

Self-Dimensioning and Planning of Small Cell Capacity in Multitenant 5G Networks

An important concept in the fifth generation of mobile networks is multitenancy, which allows diverse operators sharing the same wireless infrastructure. To support this feature in conjunction with the challenging performance requirements of future networks, more automated and faster planning of the required radio capacity is needed. Likewise, installing small cells is an effective resource to provide greater performance and capacity to both indoor and outdoor places. This paper proposes a new framework for automated cell planning in multitenant small cell networks. In particular, taking advantage of the available network data, a set of detailed planning specifications over time and space domains are generated in order to meet the contracted capacity by each tenant. Then, the network infrastructure and configuration are updated according to an algorithm that considers different actions such as adding/removing channels and adding or relocating small cells. The simulation results show the effectiveness of various methods to derive the planning specifications depending on the correlation between the tenant's and network's traffic demands