Game-theory-based load balancing technique for vertical handoff in next generation networks

Q4 Business, Management and Accounting
V. Kaushik, J. S. Sodhi, R. Tyagi
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引用次数: 0

Abstract

In the next generation networks, during vertical handoff, it is good practice to balance the network load to increase the efficiency and reduce the overhead. In this paper, we propose to model a game theory-based load balancing technique for vertical handoff in next generation networks. Initially the network load is defined based on the QoS service classes that includes UGS, rtPS, ertPS, nrtPS, and BE and performance parameters that includes throughput for uplink and downlink, delay, battery power and signal strength. This helps in deciding the suitable mobile stations for transferring from overloaded base station to lightly loaded base stations. Further for balancing the load, a game theory model is applied. In this approach, the total load of the overloaded users and battery capacity are checked in order to determine the number of satisfied users which corresponds to the utility function. By simulation results, we show that the proposed approach increases the efficiency, decreases the load and overhead.
基于博弈论的下一代网络垂直切换负载均衡技术
在下一代网络中,在垂直切换过程中,最好均衡网络负载,以提高效率,减少开销。在本文中,我们提出了一种基于博弈论的负载均衡技术模型,用于下一代网络中的垂直切换。最初,网络负载是基于QoS服务类别(包括UGS、rtPS、ertPS、nrtPS和BE)和性能参数(包括上行链路和下行链路吞吐量、延迟、电池电量和信号强度)来定义的。这有助于决定从过载基站转移到轻负荷基站的合适移动基站。为了进一步平衡负载,应用了博弈论模型。在该方法中,通过检查过载用户的总负荷和电池容量来确定满足用户的数量,这与效用函数相对应。仿真结果表明,该方法提高了效率,降低了负载和开销。
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来源期刊
International Journal of Mobile Network Design and Innovation
International Journal of Mobile Network Design and Innovation Business, Management and Accounting-Management Information Systems
CiteScore
0.30
自引率
0.00%
发文量
0
期刊介绍: The IJMNDI addresses the state-of-the-art in computerisation for the deployment and operation of current and future wireless networks. Following the trend in many other engineering disciplines, intelligent and automatic computer software has become the critical factor for obtaining high performance network solutions that meet the objectives of both the network subscriber and operator. Characteristically, high performance and innovative techniques are required to address computationally intensive radio engineering planning problems while providing optimised solutions and knowledge which will enhance the deployment and operation of expensive wireless resources.
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