Cognitive cooperative traffic offloading scheme over heterogeneous networks

Dantong Liu, Yue Chen, K. K. Chai, L. Cuthbert, Tiankui Zhang
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引用次数: 1

Abstract

Traffic offloading over heterogeneous networks allows the traffic to be offloaded between networks, in order to ease the strain on the overloaded network. In this paper, a cognitive cooperative traffic offloading scheme over heterogeneous networks is proposed. In the proposed scheme, the shifted users which are offloaded from the overloaded network to the under-loaded network are treated as the secondary users (SU) for the target under-loaded network, and the users in the under-loaded network are primary users (PU). SU cooperates with PU's transmission with a reward of access to the PU's spectrum. More importantly, Stackelberg game is applied to optimize the strategies of both under-loaded and overloaded networks, in order to ensure both of their utilities in terms of data rate and cost are maximized. Simulation results reveal that the proposed scheme improves the utility of the overloaded network, and enhances the user satisfaction and spectrum efficiency of the under-loaded network, which indicate the traffic is effectively offloaded from overloaded network to under-loaded network and at the same time the performance of under-loaded network is improved.
异构网络上的认知协同流量分流方案
异构网络上的流量分流允许流量在网络之间进行分流,以减轻网络负载过重的压力。提出了一种基于异构网络的认知协同流量分流方案。在该方案中,从过载网络卸载到欠载网络的转移用户被视为目标欠载网络的次要用户(SU),而欠载网络中的用户被视为主用户(PU)。SU与PU的传输合作,并获得PU频谱的访问奖励。更重要的是,应用Stackelberg博弈对欠载和过载网络的策略进行优化,以确保它们在数据速率和成本方面的效用都是最大化的。仿真结果表明,该方案提高了过载网络的利用率,提高了欠载网络的用户满意度和频谱效率,有效地将流量从过载网络分流到欠载网络,同时提高了欠载网络的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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