Cell Association for Multi Band 5G Cellular HetNets based on NBS

A. Zakaria, A. Hussein
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引用次数: 1

Abstract

A future mobile trend is that traffic generated by smartphones will dominate even more than it does today. Recently, smartphone traffic is expected to increase by 10 times and total mobile traffic for all devices by 8 times and more than 90 percent of mobile data traffic will come from smartphones. For this reasons mobile users will need to be actively pushed onto the 5th generation mobile (5G), builds upon today's 4G mobile network technology, which promises to offer a higher connection speeds with lower latency, or time delays. In 5G, whatever the technology used, a user association technique is needed to determine whether a user is associated with a particular base station (BS) before data transmission starts. User association plays an indispensable role in enhancing the load balancing, the spectrum efficiency, and the energy efficiency of networks. The challenge here, is to make the appropriate association that achieve the minimum required data rate for each user with acceptable complexity. In this paper, the pragmatic user association is formulated as an optimization problem, which is resolved by Nash Bargaining Solution (NBS). Simulation results show that the proposed algorithm can enable network operators to support fair resource allocation and ensure that users can be served equitably by both macro cell and pico cell. Also this paper provide an algorithm with low-complexity and reaches to near-optimal solution with a high performance guarantee.
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基于NBS的多频段5G蜂窝网络的小区关联
未来的移动趋势是,智能手机产生的流量将比现在更占主导地位。最近,智能手机流量预计将增长10倍,所有设备的移动总流量预计将增长8倍,超过90%的移动数据流量将来自智能手机。出于这个原因,移动用户将需要积极推动第五代移动(5G),这是建立在今天的4G移动网络技术基础上的,它承诺提供更高的连接速度和更低的延迟或时间延迟。在5G中,无论使用何种技术,都需要用户关联技术来确定用户在数据传输开始之前是否与特定基站(BS)相关联。用户关联在提高网络的负载均衡、频谱效率和能源效率方面发挥着不可或缺的作用。这里的挑战是建立适当的关联,在可接受的复杂性下为每个用户实现所需的最小数据速率。本文将实用用户关联表述为一个优化问题,并利用纳什议价方案(NBS)对其进行求解。仿真结果表明,该算法能够使网络运营商支持公平的资源分配,保证宏基站和微基站都能公平地为用户提供服务。本文还提出了一种低复杂度、高性能保证的近最优解算法。
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