Modeling multi-tier heterogeneous small cell networks: rate and coverage performance

Abstract

The rapid growth of small cells is driving cellular network toward randomness and heterogeneity. The multi-tier heterogeneous network (HetNet) addresses the massive connectivity demands of the emerging cellular networks. Cellular networks are usually modeled by placing each tier (e.g macro, pico and relay nodes) deterministically on a grid which ignores the spatial randomness of the nodes. Several works were idealized for not capturing the interference which is a major performance bottleneck. Overcoming such limitation by realistic models is much appreciated. Multi-tier relay cellular network is studied in this paper, In particular, we consider $${\mathscr {K}}$$ K -tier transmission modeled by factorial moment and stochastic geometry and compare it with a single-tier, traditional grid model and multi-antenna ultra-dense network (UDN) model to obtain tractable rate coverage and coverage probability. The locations of the relays, base stations, and users nodes are modeled as a Poisson Point Process. The results showed that the proposed model outperforms the traditional multi-antenna UDN model and its accuracy is confirmed to be similar to the traditional grid model. The obtained results from the proposed and comparable models demonstrate the effectiveness and analytical tractability to study the HetNet performance.

Modeling medium dense cellular network and evaluation of probability of coverage

“…Erceg et al 14 emphasizes that, along with the legacy dual‐slope path loss model, there should be an out‐of‐sight path loss model when the receiver is completely out‐of‐sight with respect to BS while considering the effects of Building blockades. Fadoul has modeled multi‐tier heterogeneous small cell networks and evaluated the coverage probability 16 . Wang et al have analyzed the heterogeneous up link mmWave cellular networks with clustered UE deployments 17 .…”

Stochastic geometric modelling and simulation of cellular systems for coverage probability characterization

“…For example, in [19], the authors characterize the DL coverage probability in the context of a 2-tier HetNet, under Line of Site (LOS) and Non Line of Site (NLOS) Path loss models with different path loss exponents, using stochastic geometry. Also working in HetNets are the authors of [20], who consider interference to be a major performance bottleneck. They consider K-tier transmission modeled by factorial moment and stochastic geometry to obtain expressions for the coverage probability.…”

An optimized small‐cell planning procedure for Heterogeneous Network to improve network energy efficiency

“…The massive demands on cellular networks are managed by the multi-tier HetNet by placing cells and relay nodes. 6 So automatic planning approaches are introduced to attain better performance with guaranteed high-quality networks.…”

“…For small deployments or minimum demand networks, manual planning will work well, but in the case of a high‐demand network, the cell density will increase, and planning becomes more complicated for network planners. The massive demands on cellular networks are managed by the multi‐tier HetNet by placing cells and relay nodes 6 . So automatic planning approaches are introduced to attain better performance with guaranteed high‐quality networks.…”