Capacity of Heterogeneous Mobile Wireless Networks with D-Delay Transmission Strategy

Abstract

This paper investigates the capacity problem of heterogeneous wireless networks in mobility scenarios. A heterogeneous network model which consists of n normal nodes and m helping nodes is proposed. Moreover, we propose a D-delay transmission strategy to ensure that every packet can be delivered to its destination nodes with limited delay. Different from most existing network schemes, our network model has a novel two-tier architecture. The existence of helping nodes greatly improves the network capacity. Four types of mobile networks are studied in this paper: i.i.d. fast mobility model and slow mobility model in two-dimensional space, i.i.d. fast mobility model and slow mobility model in three-dimensional space. Using the virtual channel model, we present an intuitive analysis of the capacity of two-dimensional mobile networks and three-dimensional mobile networks, respectively. Given a delay constraint D, we derive the asymptotic expressions for the capacity of the four types of mobile networks. Furthermore, the impact of D and m to the capacity of the whole network is analyzed. Our findings provide great guidance for the future design of the next generation of networks.

Analytical Study on Multi-Tier 5G Heterogeneous Small Cell Networks: Coverage Performance and Energy Efficiency

“…Lots of research has focused on investigating the relationship between coverage performance and base stations’ density [14,15,16,17,18,19,20]. In [14], the system throughput for two-tier HetNets is verified by evaluating the areal capacity, and this is provided for co-channel scenario (CCS) as well as separate channel scenario (SCS) regarding the BS density.…”

“…In [16], the authors study the relation between network capacity and the density of micro base stations in heterogeneous networks that consist of a macro base station and micro base stations. In [17], the authors investigate the capacity problem of heterogeneous two-tier wireless networks in four types of scenarios under a given delay constraint. The authors in [18] analyze the optimal BS density for both homogeneous and heterogeneous cellular networks with a service outage probability constraint.…”

“…A small cell deployment scheme (SDS) is proposed in [19] to optimize the network throughput over time-varying distributions of users’ locations, in which the network throughput is improved by integrating the cooperation and resource allocation across small cells. One interesting finding in [14,15,16,17,18,19] is that the network capacity does not increase monotonously with the BSs’ density. According to the existing works [14,15,16,17,18,19], the interesting result is twofold: (i) the network capacity can be improved by deploying a large number of BSs in the traditional macrocell network; (ii) the network capacity would not keep increasing monotonously with the BSs’ density.…”

“…One interesting finding in [14,15,16,17,18,19] is that the network capacity does not increase monotonously with the BSs’ density. According to the existing works [14,15,16,17,18,19], the interesting result is twofold: (i) the network capacity can be improved by deploying a large number of BSs in the traditional macrocell network; (ii) the network capacity would not keep increasing monotonously with the BSs’ density. Therefore, in our study, we investigate the internal links between coverage performance and small cell density and expand this problem to the scenario of multi-tier heterogeneous networks.…”