Minimizing Rate Variability with Effective Resource Utilization in 5G Networks

Fidan Mehmeti, T. L. Porta
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引用次数: 3

Abstract

One of the main features of 5G networks is to provide high data rates with low variability to mobile users. However, this has been shown to be ineffective from the operator's perspective as it leads to abundantly unused network resources. Reallocating the unused resources to the same users increases back the data rate variability. A more efficient way is to provide different low-variability data rates to the users depending on their channel conditions, while not wasting network resources considerably. In this paper, the goal is to minimize the coefficient of variation across all users in the cell. To that end, we consider two approaches, one with reserved resources for every user and the other where the amount of allocated resources is decided on the fly. Then, for each of them, we look at different allocation policies and derive the maximum achievable constant rate for every user. We evaluate the performance on a real trace. Results show that utilizing policies with no-resource-reservation increases considerably the utilization of network resources and the achievable data rates at the expense of a slight increase in variability. Also, using our policies, the waste of resources drops to 15%, which is almost 4x lower than with other state-of-the-art techniques.
在有效利用5G网络资源的前提下最小化速率变化
5G网络的主要特点之一是为移动用户提供低可变性的高数据速率。然而,从运营商的角度来看,这是无效的,因为它会导致大量未使用的网络资源。将未使用的资源重新分配给相同的用户会增加数据速率的可变性。更有效的方法是根据用户的信道条件为其提供不同的低可变性数据速率,同时不会大量浪费网络资源。在本文中,目标是最小化单元中所有用户的变异系数。为此,我们考虑了两种方法,一种是为每个用户保留资源,另一种是动态决定分配资源的数量。然后,对于每个用户,我们查看不同的分配策略,并为每个用户导出可实现的最大常数比率。我们在真实的轨迹上评估性能。结果表明,使用无资源预留的策略可以大大提高网络资源的利用率和可实现的数据速率,但代价是可变性略有增加。此外,使用我们的政策,资源浪费下降到15%,几乎比其他最先进的技术低4倍。
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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