On Stochastic Geometry Modeling of Cellular Uplink Transmission With Truncated Channel Inversion Power Control

Using stochastic geometry, we develop a tractable uplink modeling paradigm for outage probability and spectral efficiency in both single and multi-tier cellular wireless networks. The analysis accounts for per user equipment (UE) power control as well as the maximum power limitations for UEs. More specifically, for interference mitigation and robust uplink communication, each UE is required to control its transmit power such that the average received signal power at its serving base station (BS) is equal to a certain threshold ρ_o. Due to the limited transmit power, the UEs employ a truncated channel inversion power control policy with a cutoff threshold of ρ_o. We show that there exists a transfer point in the uplink system performance that depends on the following tuple: BS intensity λ, maximum transmit power of UEs P_u}, and ρ_o. That is, when P_u is a tight operational constraint with respect to (w.r.t.) λ and ρ_o, the uplink outage probability and spectral efficiency highly depend on the values of λ and ρ_o. In this case, there exists an optimal cutoff threshold ρ_o*, which depends on the system parameters, that minimizes the outage probability. On the other hand, when P_u is not a binding operational constraint w.r.t. λ and ρ_o, the uplink outage probability and spectral efficiency become independent of λ and ρ_o. We obtain approximate yet accurate simple expressions for outage probability and spectral efficiency, which reduce to closed forms in some special cases.