Modeling and analyzing multi‐tier massive multiple‐input multiple‐output‐enabled heterogeneous networks with hybrid spectrum allocation for cluster‐center and cluster‐edge users. Issue 1 (2nd November 2020) - Jia, Xiangdong
Abstract: With the proliferation of high‐speed multi‐media applications and high‐dense Internet‐of‐Things devices, the future 5G/B5G networks will face the emergence of dense hotspot communications. A key consequence of such hotspots is the heterogeneity of base stations' deployment and the user base station (BS) coupling, where the user equipments (UEs) tend to form spatial clusters or hotspots. With these motivations, this article considers a realistic scenario for clustered heterogeneous networks, which consists of macro‐BSs (MBSs), pico‐BSs (PBSs), and femto‐BSs (FBSs). To restrict the severe interference from inter and intra‐tier transmitters, a clustered‐UEs classification is developed based on the coverage radius of PBSs. With the clustered‐UEs classification, this article develops a modified separated spectrum allocation scheme. To further exploit potential, we also consider the cases of ordered and non‐ordered FBSs associations and construct the derivations of both the statistical descriptions of association distances and the association probabilities for different scenarios. By using the approximated Poisson hole process theory which is accurate and simple enough, the statistical description of the interference experienced at a typical receiver is given, and the coverage probabilities are also derived. The simulation results achieve that the performance gain from the case of ordered FBSs over the one from the case of non‐ordered FBSs greatly depends on the coverage radii of PBSs and FBSs. Meanwhile, the distributions of both FBSs and UEs also impose the non‐negligible contributions on network performance. Abstract : Massive MIMO‐enabled multi‐tier HetNet model is considered, which consists of MBSs, PBSs, and FBSs. The spatial locations of MBSs and PBSs are modeled as independent PPPs, and the distributions of FBSs and UEs are modeled with the assistance of PHP and PCP. To restrict the severe interference from inter and intra‐tier transmitters, a clustered‐UEs classification is developed based on the coverage radius of PBSs. With the clustered‐UEs classification, this paper develops a modified separated spectrum allocation scheme.