scholarly journals A novel benefit-tree based dynamic clustering algorithm of comp in dense network

Filomat ◽  
2018 ◽  
Vol 32 (5) ◽  
pp. 1965-1972
Author(s):  
Gang Su ◽  
Lu Feng ◽  
Li Tan ◽  
Yunlong Liang

We focus here on the Energy Efficiency (EE), and propose an improved dynamic clustering algorithm that is incorporated into Coordinated MultiPoint (CoMP) with sleeping mode. Thanks to the frame structure of Benefit-tree employed in dynamic clustering of CoMP, the proposed algorithm can significantly improve the EE by choosing the most energy efficient competitive clustering strategy. At the same time, it can save energy by sleeping the underutilized base stations in the cellular network. In the performance simulation for EE, the proposed algorithm provides 10% higher in EE than the existing algorithm.

2015 ◽  
Vol 11 (8) ◽  
pp. 108210 ◽  
Author(s):  
Yong-Hoon Choi ◽  
Jungerl Lee ◽  
Juhoon Back ◽  
Suwon Park ◽  
Young-uk Chung ◽  
...  

2021 ◽  
Author(s):  
Abid Jan

Existing cellular networks remain operational throughout the year irrespective of traffic. The usage of Coordinated Multipoint (CoMP) transmission to provide service in the coverage area of a switched off base station (BS) during off-peak traffic hours has been investigated in this work. The switching off of a BS reduces its energy consumption to zero, however to cover the switched off BS coverage area by neighbouring BS’s, CoMP transmission causes an increase in energy consumption of the neighbouring BS’s. With increasing the number of base stations taking part in CoMP transmission the power consumption of CoMP base stations and site air conditioning unit increases. Results show that the aggressive usage of CoMP is not feasible in most of the twelve switching modes investigated. From the Energy Efficiency Ratio the most energy efficient switching mode is identified. It is then applied to part of a cellular network and the amount of power saving and Carbon Dioxide equivalent (CO2e) is determined. It is found that within a network of 42 cells 7.26% power can be saved by switching off seven base stations during off-peak traffic hours.


2014 ◽  
Vol 716-717 ◽  
pp. 1312-1317
Author(s):  
Qi Wen Wan ◽  
Xiang Ming Wen ◽  
Zhao Ming Lu ◽  
Hai Jun Zhang ◽  
Jun Zhao

Energy efficient resource allocation is one of the critical issues for the coordinated multipoint (CoMP) transmission system, where the signal received by each mobile station needs to be converged among multiple base stations (BSs) in the same cluster. However, as the interaction of the system is frequent, the overhead of the backhaul signaling will be enormous. In this paper, an iterative resource allocation and scheduling algorithm (IRASA) with dual method is proposed to solve the optimization problem aiming to maximize the system energy efficiency, which considers the backhaul capacity constraints, circuit power consumption and zero forcing pre-coding (ZFP). Simulation results show that our proposed IRASA can significantly improve the energy efficiency of the system with the backhaul capacity constraints.


2018 ◽  
Vol 7 (2) ◽  
pp. 48-51
Author(s):  
Manas Kumar Ray ◽  
Gitanjali Roy

This paper proposes and evaluates decentralized dynamic clustering algorithm for tracing a movable target. Here firstly we proposed dynamic K mean clustering algorithm. In this algorithm a fixed number of sensor nodes is choose and then cluster is created. When the cluster is created then a cluster head (CH) is active. This active CH sensor nodes will create new cluster and that new cluster is also formed a new mean value of cluster head. But, the newly created cluster is only active when a moving objected is trace. According from the position of cluster head, few sensor nodes is active, where as few sensor nodes are inactive. According from the CH nodes newly cluster is created. So, creation of dynamic cluster is less energy efficient and stability of cluster will more than static cluster with sensor nodes. On the other hand, movable object tracing sensor nodes are familiar with energy utilization of sensor nodes. Here we proposed an energy efficient target tracing approach which follow network stability as well as energy saving. As we use dynamic clustering technique, so optimization of energy each sensor nodes with cluster head is maximum. So all the sensors with cluster head sensor nodes will continue more time for object tracing. In simulation result we show that our proposed dynamic K mean clustering algorithm is more accurate and more stable.


2021 ◽  
Author(s):  
Abid Jan

Existing cellular networks remain operational throughout the year irrespective of traffic. The usage of Coordinated Multipoint (CoMP) transmission to provide service in the coverage area of a switched off base station (BS) during off-peak traffic hours has been investigated in this work. The switching off of a BS reduces its energy consumption to zero, however to cover the switched off BS coverage area by neighbouring BS’s, CoMP transmission causes an increase in energy consumption of the neighbouring BS’s. With increasing the number of base stations taking part in CoMP transmission the power consumption of CoMP base stations and site air conditioning unit increases. Results show that the aggressive usage of CoMP is not feasible in most of the twelve switching modes investigated. From the Energy Efficiency Ratio the most energy efficient switching mode is identified. It is then applied to part of a cellular network and the amount of power saving and Carbon Dioxide equivalent (CO2e) is determined. It is found that within a network of 42 cells 7.26% power can be saved by switching off seven base stations during off-peak traffic hours.


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