High Availability Optimization in Heterogeneous Cellular Networks
High Availability Optimization in Heterogeneous Cellular Networks
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DOI：
10.1109/glocom.2016.7841870
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发表时间：
2016-12
期刊：
影响因子：
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通讯作者：
Jie Jia;Yansha Deng;Shuyu Ping;H. Aghvami;A. Nallanathan
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作者：
Jie Jia;Yansha Deng;Shuyu Ping;H. Aghvami;A. Nallanathan
第五代(5G)数据流量的指数增长和巨大的容量需求促使人们从传统的单层蜂窝网络转向异类蜂窝网络(HetNets)。面对即将到来的5G趋势，新应用中的高可用性要求需要满足，以实现低延迟服务。在这项工作中，我们提出了一个易于处理的多层多频带可用性模型来考察支持载波聚合(CA)的HetNet的高可用性。我们首先基于信号干扰加噪声模型推导出CA启用的HetNet中可用性的闭合形式表达式。通过这样做，我们建立了联合副载波和功率分配问题，以最大化功率约束下的可用性。优化问题是一个极具挑战性的非凸问题。针对这一问题，提出了一种通过联合副载波和功率分配来优化可用性的遗传算法。有趣的是，启用CA的HetNet的平均可用性随着UE数量的减少和功率预算比的增加而提高。
The exponential growth in data traffic and dramatic capacity demand in fifth generation (5G) has inspired the move from traditional single-tier cellular networks towards heterogeneous cellular networks (HetNets). To face the coming trend in 5G, the high availability requirement in new applications, needs to be satisfied to achieve low latency service. In this work, we present a tractable multi-tier multi-band availability model to examine the high availability in carrier aggregation (CA)-enabled HetNets. We first derive a closed-form expression for the availability in CA- enabled HetNets based on the signal-to-interference- plus-noise model. By doing so, we formulate the joint subcarrier and power allocation problem, to maximize the availability under the power constraint. The optimization problem is non-convex problem, which is challenging to solve. To cope with it, the genetic algorithm (GA) is proposed to optimize availability through joint subcarrier and power allocation. The average availability in CA-enabled HetNets improves with decreasing the number of UEs, and increasing the power budget ratio interestingly.