Handover Optimization for 4G Wireless Networks

Author(s):  
Dongwook Kim ◽  
Hanjin Lee ◽  
Hyunsoo Yoon ◽  
Namgi Kim

The authors present a velocity-based bicasting handover scheme to optimize link layer handover performance for 4G wireless networks. Before presenting their scheme, as related works, they firstly describe general handover protocols which have been proposed in the previous research, in terms of the layers of network protocol stack. Then, they introduce state-of-the-art trends for handover protocols in three representative standardization groups of IEEE 802.16, 3GPP LTE, and 3GPP2. Finally, they present the proposed bicasting handover scheme. Original bicasting handover scheme enables all potential target base stations for a mobile station (MS) which prepares for handover to keep bicasted data, in advance before the MS actually performs handover. This scheme minimizes the packet transmission delay caused by handover, which achieves the seamless connectivity. However, it leads to an aggressive consumption of backhaul network resources. Moreover, if this scheme gets widely adopted for high data rate services and the demand for these services grows, it is expected that the amount of backhaul network resources consumed by the scheme will significantly increase. Therefore, the authors propose a novel bicasting handover scheme which not only minimizes link layer handover delay but also reduces the consumption of backhaul network resources in 4G wireless networks. For the proposed scheme, they exploit the velocity parameter of MS and a novel concept of bicasting threshold is specified for the proposed mobile speed groups. Simulations prove the efficiency of the proposed scheme over the original one in reducing the amount of consumed backhaul network resources without inducing any service quality degradation.

Author(s):  
Farnaz Farid ◽  
Seyed Shahrestani ◽  
Chun Ruan

The heterogeneous-based 4G wireless networks will offer noticeable advantages for both users and network operators. The users will benefit from the vibrant coverage and capacity. A vast number of available resources will allow them to connect seamlessly to the best available access technology. The network operators, on the other hand, will be benefited from the lower cost and the efficient usage of the network resources. However, managing QoS for video or voice applications over these networks is still a challenging task. In this chapter, a generalized metric-based approach is described for QoS quantification in Heterogeneous networks. To investigate the efficiency of the designed approach, a range of simulation studies based on different models of service over the heterogeneous networks are carried out. The simulation results indicate that the proposed approach facilitates better management and monitoring of heterogeneous network configurations and applications utilizing them.


Author(s):  
L.F. Pau

As 3G, HSPDA and already now LTE wireless networks become ever more pervasive, especially for wireless high data rate and Internet traffic (>100 Mbps), increasing focus is given on ways to offload access by re-utilizing WiFi access points available in-doors (offices, homes), or installing such access points outdoors in/alongside high demand density public areas (hot spots, public areas, road traffic lanes, etc..). In view of the relative much higher WiFi access node power consumption and much smaller coverage compatible with interference reduction, the WiFi off-loading access may have a significant negative impact on energy consumption and emissions per user. The paper builds on earlier extensive work on the modeling of 3G or LTE wireless infrastructure energy consumption on an incremental basis per new user. It addresses the questions of the best mix between LTE cellular base stations and WiFi off-load access nodes from the energy/emissions perspective. Detailed sub-system model and design improvements are carried out on a continuous basis in collaboration with industry.


Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2891 ◽  
Author(s):  
George  Stamatakis ◽  
Elias Z.  Tragos ◽  
Apostolos Traganitis

The Internet-of-things facilitates the development of many groundbreaking applications. A large number of these applications involve mobile end nodes and a sparsely deployed network of base stations that operate as gateways to the Internet. Most of the mobile nodes, at least within city areas, are connected through low power wide area networking technologies (LPWAN) using public frequencies. Mobility and sparse network coverage result in long delays and intermittent connectivity for the end nodes. Disruption Tolerant Networks and utilization of heterogeneous wireless interfaces have emerged as key technologies to tackle the problem at hand. The first technology renders communication resilient to intermittent connectivity by storing and carrying data while the later increases the communication opportunities of the end nodes and at the same time reduces energy consumption whenever short-range communication is possible. However, one has to consider that end nodes are typically both memory and energy constrained devices which makes finding an energy efficient data transmission policy for heterogeneous disruption tolerant networks imperative. In this work we utilize information related to the spatial availability of network resources and localization information to formulate the problem at hand as a dynamic programming problem. Next, we utilize the framework of Markov Decision Processes to derive approximately optimal and suboptimal data transmission policies. We also prove that we can achieve improved packet transmission policies and reduce energy consumption, extending battery lifetime. This is achieved by knowing the spatial availability of heterogeneous network resources combined with the mobile node’s location information. Numerical resultsshow significant gains achieved by utilizing the derived approximately optimal and suboptimal policies.


Author(s):  
Naglaa Kamel Bahgaat ◽  
Nariman Abdel Salam ◽  
Monika Mady Roshdy ◽  
Sandy Abd Elrasheed Sakr

Rapid growth in mobile networks and the increase of the number of cellular base stations requires more energy sources, but the traditional sources of energy cause pollution and environmental problems. Therefore, modern facilities tend to use renewable energy sources instead of traditional sources. One renewable source is the photovoltaic panel, which made from semiconductor materials which absorb sunlight to generate electricity. This article discusses the importance of using solar panels to produce energy for mobile stations and also a solution to some environmental problems such as pollution. This article provides a design for a solar-power plant to feed the mobile station. Also, in this article is a prediction of all loads, the power consumed, the number of solar panels used, and solar batteries can be used to store electrical energy. Finally, an estimation of the costs of all components will be presented. Good discussion and conclusion will be presented about the results obtained. The results obtained are promising. In addition, a future plan is described to complete this important study.


2007 ◽  
Vol 115 (3) ◽  
pp. 416-424 ◽  
Author(s):  
Peter A. Valberg ◽  
T. Emilie van Deventer ◽  
Michael H. Repacholi

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