Sustainable Growth for Cellular Wireless Networks

Author(s):  
Siyi Wang ◽  
Weisi Guo

It has been widely recognised that the exchange of information is one of the underpinning factors for economic growth in developing and developed nations. One of the fastest growing areas of information transfer is the mobile data sector. In 2012, global mobile data traffic grew by 70%. There is an urgent need to improve the wireless capacity of cellular networks in order to match this growth. One of the key issues faced by mobile operators is the fall in Average Revenue Per User (ARPU) and the growing Operational Expenditure (OPEX) due to capacity growth and rising energy prices. The challenge is therefore how to grow the wireless capacity in a way that minimizes the OPEX and thus improves the ARPU. Furthermore, there is growing focus on the environmental impact of Information and Communication Technology (ICT) sectors. There are tangible, financial, and environmental motivations for reducing the energy expenditure of wireless networks whilst growing its capacity. This chapter examines recent research in the area of future wireless network architectures and deployments. This is done in the context of improving capacity in a sustainable way. That is to say, what is the lowest-cost and -energy method of achieving certain capacity targets? The authors of this chapter were researchers in the world’s first green wireless communications project—Mobile VCE Green Radio (2007-2012).

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Haipeng Yao ◽  
Chao Qiu ◽  
Chenglin Zhao ◽  
Lei Shi

Software-defined networking (SDN) is currently seen as one of the most promising future network technologies, which can realize the separation between control and data planes. Furthermore, the increasing complexity in future wireless networks (i.e., 5G, wireless sensor networks) renders the control and coordination of networks a challenging task. Future wireless networks need good separation of control and data planes and call for SDN method to handle the explosive increase of mobile data traffic. Relying on a single controller in future wireless networks imposes a potential scalability problem. To tackle this problem, the thought of using multiple controllers to manage the large wide-area wireless network has been proposed, where the load balance problem of multicontroller needs to be resolved. In this paper, we propose a multicontroller load balancing approach called HybridFlow in software-defined wireless networks, which adopts the method of distribution and centralization and designs a double threshold approach to evenly allocate the load. Simulation results reveal that the proposed approach can significantly relieve the working load on the super controller and reduces the load jitter of multicontroller load in a single cluster compared with the BalanceFlow method.


2016 ◽  
Vol 28 (4) ◽  
pp. 435-444 ◽  
Author(s):  
Siniša Husnjak ◽  
Dragan Peraković ◽  
Ivan Cvitić

Smartphones are used to access a wide range of different information and communication services and perform functions based on data transfer. A number of subscription contracts for smartphones is rapidly increasing, and the development of mobile communications network provides higher speed of data transfer. The continuous increase in the average amount of data traffic per one subscriber contract leads to an increase in the total Mobile Data Traffic (MDT), globally. This research represents a summary of factors that affect the amount of smartphone MDT. Previous literature shows only a few of the factors individually that affect the realization of smartphone MDT. The results of the research clarify the ways which influence the amount of MDT generated by a smartphone. This paper increases the awareness of the users of the methods of generating smartphone MDT. The research also allows users to specify parameters that affect the prediction of generated MDT of a smartphone.


2017 ◽  
Vol 24 (4) ◽  
pp. 31-37 ◽  
Author(s):  
Haoran Yu ◽  
Man Hon Cheung ◽  
George Iosifidis ◽  
Lin Gao ◽  
Leandros Tassiulas ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Liqiang Qiao

To cope with an exponentially increasing demand on mobile data traffic in cellular network, proximity-based opportunistic vehicular communications can be exploited as a complementary mean to offload and reduce the load of cellular network. In this paper, we propose a two-phase approach for mobile data traffic offloading, which exploits opportunistic contact and future utility with user mobility. The proposed approach includes one phase of initial source selection and subsequent phase of data forwarding. In phase 1, we build a weighted reachability graph, which is a very useful high-level abstraction for studying vehicular communication over time. Then, we propose an initial source selection algorithm, named VRank, and apply it in the weight reachability graph to identify some influential vehicles to serve as initial sources according to the rank of VRank. In phase 2, we formulate the forwarding schedule problem as a global utility maximization problem, which takes heterogeneous user interest and future utility contribution into consideration. Then, we propose an efficient scheme MGUP to solve the problem by providing a solution that decides which object should be broadcast. The effectiveness of our algorithm is verified through extensive simulation using real vehicular trace.


2020 ◽  
Vol 24 (3) ◽  
pp. 225-238
Author(s):  
Massimo Gastaldi ◽  
Ginevra Virginia Lombardi ◽  
Agnese Rapposelli ◽  
Giulia Romano

AbstractWith growing environmental legislation and mounting popular concern for the need to pursuing a sustainable growth, there has been an increasing recognition in developed nations of the importance of waste reduction, recycling and reuse maximization. This empirical study investigates both ecological and economic performances of urban waste systems in 78 major Italian towns for the years 2015 and 2016. To this purpose the study employs the non-parametric approach to efficiency measurement, represented by Data Envelopment Analysis (DEA) technique. More specifically, in the context of environmental performance we implement two output-oriented DEA models in order to consider both constant and variable returns to scale. In addition, we include an undesirable output – the total amount of waste collected – in the two models considered. The results show that there is variability among the municipalities analysed: Northern and Central major towns show higher efficiency scores than Southern and Islands ones.


2017 ◽  
Vol 112 ◽  
pp. 176-193 ◽  
Author(s):  
Eduardo Mucelli Rezende Oliveira ◽  
Aline Carneiro Viana ◽  
K.P. Naveen ◽  
Carlos Sarraute

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