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QoS-Aware User Association for Load Balancing in Heterogeneous Cellular Networks

机译:异构蜂窝负载均衡的Qos感知用户关联   网络

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摘要

To solve the problem that the low capacity in hot-spots and coverage holes ofconventional cellular networks, the base stations (BSs) having lower transmitpower are deployed to form heterogeneous cellular networks (HetNets). However,because of these introduced disparate power BSs, the user distributions amongthem looked fairly unbalanced if an appropriate user association scheme hasn'tbeen provided. For effectively tackling this problem, we jointly consider theload of each BS and user's achievable rate instead of only utilizing the latterwhen designing an association algorithm, and formulate it as a network-wideweighted utility maximization problem. Note that, the load mentioned aboverelates to the amount of required subbands decided by actual rate requirements,i.e., QoS, but the number of associated users, thus it can reflect user'sactual load level. As for the proposed problem, we give a maximum probability(max-probability) algorithm by relaxing variables as well as a low-complexitydistributed algorithm with a near-optimal solution that provides a theoreticalperformance guarantee. Experimental results show that, compared with theassociation strategy advocated by Ye, our strategy has a speeder convergencerate, a lower call blocking probability and a higher load balancing level.
机译:为了解决常规蜂窝网络的热点和覆盖孔的容量低的问题,部署了具有较低发射功率的基站(BS)以形成异构蜂窝网络(HetNet)。但是,由于这些引入的不同功率BS,如果没有提供适当的用户关联方案,则它们之间的用户分布看起来会很不平衡。为了有效地解决这个问题,我们在设计关联算法时将每个基站的负载和用户可达到的速率结合在一起考虑,而不是仅利用后者,并将其表述为网络范围加权的效用最大化问题。注意,上述负载与由实际速率要求即QoS确定的所需子带的数量有关,但是与相关用户的数量有关,因此它可以反映用户的实际负载水平。对于提出的问题,我们通过放宽变量给出了最大概率(max-probability)算法,并给出了一种具有理论上的性能保证的近似解决方案的低复杂度分布式算法。实验结果表明,与Ye提出的关联策略相比,该策略具有更快的收敛速度,更低的呼叫阻塞概率和更高的负载均衡水平。

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