Trade-off between latency and coverage in cooperative radio access networks

T. Hohenberger, Matthias Herlich, H. Karl
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Abstract

To cope with higher demands, future radio access networks will consist of densely deployed base stations (BSs). As the BS ranges in such deployments will often overlap, areas exists that could be served individually by one of several BSs or cooperatively by all members of a group of BSs (using techniques like CoMP). One BS typically serves several such areas. Each BS has to decide, which area to serve when. This problem is compounded by the need to coordinate cooperative transmissions across several BSs. We model this as a queuing problem where each queue represents one particular area that is served by a specific combination of BSs; each BS has to decide which queue(s) to serve when. For three decision strategies, we derive a Markov model and solve it numerically to obtain steady-state solutions. These solutions let us quantify average latency and trade-offs between latency and number of BSs per area for both direct and cooperative scenarios. We show that cooperation reduces the number of BSs needed to cover an area but that a latency price has to be payed.
协作式无线接入网络中延迟与覆盖的权衡
为应付更高的需求,未来的无线接入网将由密集部署的基站组成。由于这种部署中的基站范围经常重叠,因此存在一些区域,可以由几个基站中的一个单独提供服务,也可以由一组基站的所有成员合作提供服务(使用诸如CoMP之类的技术)。一个BS通常服务于几个这样的领域。每个BS必须决定,什么时候服务哪个领域。由于需要协调多个基站之间的合作传输,这个问题更加复杂。我们将其建模为排队问题,其中每个队列代表一个特定区域,由特定的BSs组合提供服务;每个BS必须决定何时为哪个队列提供服务。对于三种决策策略,我们推导了一个马尔可夫模型,并对其进行了数值求解,得到了稳态解。这些解决方案使我们能够量化平均延迟,以及在直接和合作场景下每个区域的延迟和BSs数量之间的权衡。我们表明,合作减少了覆盖一个区域所需的基站数量,但必须付出延迟的代价。
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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