An Analytical Framework for Multi-Cell Cooperation via Stochastic Geometry and Large Deviations

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 either over-simplified Wyner-type models or complex system-level simulations. The promising theoretical results (typically using Wyner models) seem to materialize neither simulations nor practice. To more accurately investigate the of MCC, this paper entire plane interfering cells as a Poisson random tessellation. base stations (BSs) are then clustered regular lattice, whereby BSs same cluster mitigate mutual by beamforming with perfect channel state information. Techniques from stochastic geometry and large deviation theory applied analyze outage probability function mobile locations, scattering environment, average number cooperating per cluster, L. For mobiles near centers BS clusters, it shown that L increases, diminishes sub-exponentially if sparse, following power law exponent proportional signal diversity order rich. randomly located mobiles, regardless scattering, scale increasing no larger than 0.5. These confirm analytically cluster-edge bottleneck network coverage provide plausible analytic framework realistic analysis other multi-cell techniques.