基于随机几何和大偏差的多单元协作分析框架
An Analytical Framework for Multi-Cell Cooperation via Stochastic Geometry and Large Deviations
摘要：
多小区协作（MCC）是一种减轻密集蜂窝网络中小区间干扰的方法。现有的MCC性能研究通常依赖于过度简化的Wyner型模型或复杂的系统级仿真。有希望的理论结果（通常使用Wyner模型）似乎既没有在复杂的模拟中也没有在实践中实现。为了更准确地研究MCC的理论性能，本文将整个干扰小区平面建模为泊松随机镶嵌。然后，使用规则网格来对基站（BS）进行聚类，由此相同簇中的BS通过利用完美的信道状态信息进行波束成形来减轻相互干扰。从随机几何和大偏差理论的技术被施加到分析中断概率作为移动位置，散射环境，和每个集群的合作BS的平均数量，L的函数。对于移动台附近的BS集群的中心，它示出，随着L的增加，中断概率减小次指数，如果散射是稀疏的，并遵循幂律与指数成比例的信号分集阶，如果散射是丰富的。对于随机定位的手机，无论散射，中断概率的比例与增加L以下的幂律指数不大于0.5。这些结果证实分析，集群边缘的手机是网络覆盖的瓶颈，并提供了一个合理的分析框架，更现实的分析其他多小区技术。
英文摘要：
Multi-cell cooperation (MCC) is an approach for mitigating inter-cell interference in dense cellular networks. Existing studies on MCC performance typically rely on either over-simplified Wyner-type models or complex system-level simulations. The promising theoretical results (typically using Wyner models) seem to materialize neither in complex simulations nor in practice. To more accurately investigate the theoretical performance of MCC, this paper models an entire plane of interfering cells as a Poisson random tessellation. The base stations (BSs) are then clustered using a regular lattice, whereby BSs in the same cluster mitigate mutual interference by beamforming with perfect channel state information. Techniques from stochastic geometry and large deviation theory are applied to analyze the outage probability as a function of the mobile locations, scattering environment, and the average number of cooperating BSs per cluster, L. For mobiles near the centers of BS clusters, it is shown that as L increases, outage probability diminishes sub-exponentially if scattering is sparse, and following a power law with an exponent proportional to the signal diversity order if scattering is rich. For randomly located mobiles, regardless of scattering, outage probability is shown to scale with increasing L following a power law with an exponent no larger than 0.5. These results confirm analytically that cluster-edge mobiles are the bottleneck for network coverage and provide a plausible analytic framework for more realistic analysis of other multi-cell techniques.
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