HetHetNets: Heterogeneous Traffic Distribution in Heterogeneous Wireless Cellular Networks

摘要

A recent approach in modeling and analysis of the supply and demand inheterogeneous wireless cellular networks has been the use of two independentPoisson point processes (PPPs) for the locations of base stations (BSs) anduser equipments (UEs). This popular approach has two major shortcomings. First,although the PPP model may be a fitting one for the BS locations, it is lessadequate for the UE locations mainly due to the fact that the model is notadjustable (tunable) to represent the severity of the heterogeneity(non-uniformity) in the UE locations. Besides, the independence assumptionbetween the two PPPs does not capture the often-observed correlation betweenthe UE and BS locations. This paper presents a novel heterogeneous spatial traffic modeling whichallows statistical adjustment. Simple and non-parameterized, yet sufficientlyaccurate, measures for capturing the traffic characteristics in space areintroduced. Only two statistical parameters related to the UE distribution,namely, the coefficient of variation (the normalized second-moment), of anappropriately defined inter-UE distance measure, and correlation coefficient(the normalized cross-moment) between UE and BS locations, are adjusted tocontrol the degree of heterogeneity and the bias towards the BS locations,respectively. This model is used in heterogeneous wireless cellular networks(HetNets) to demonstrate the impact of heterogeneous and BS-correlated trafficon the network performance. This network is called HetHetNet since it has twotypes of heterogeneity: heterogeneity in the infrastructure (supply), andheterogeneity in the spatial traffic distribution (demand).