On Stochastic Geometry Modeling of Cellular Uplink Transmission With Truncated Channel Inversion Power Control
By Hesham Elsawy, Ekram Hossain. 2014
258 citations recorded by the source corpus.
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<sub>o</sub>. Due to the limited transmit power, the UEs employ a truncated channel inversion power control policy with a cutoff threshold of ρ<sub>o</sub>. 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<sub>u</sub>}, and ρ<sub>o</sub>. That is, when P<sub>u</sub> is a tight operational constraint with respect to (w.r.t.) λ and ρ<sub>o</sub>, the uplink outage probability and spectral efficiency highly depend on the values of λ and ρ<sub>o</sub>. In this case, there exists an optimal cutoff threshold ρ<sub>o</sub>*, which depends on the system parameters, that minimizes the outage probability. On the other hand, when P<sub>u</sub> is not a binding operational constraint w.r.t. λ and ρ<sub>o</sub>, the uplink outage probability and spectral efficiency become independent of λ and ρ<sub>o</sub>. We obtain approximate yet accurate simple expressions for outage probability and spectral efficiency, which reduce to closed forms in some special cases.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Hesham Elsawy
- Ekram Hossain
- Mohamed-Slim Alouini
- Harpreet S. Dhillon
- Tony Q. S. Quek
- Abhishek K. Gupta
- Moe Z. Win
- Howard H. Yang
In Electrical and Electronic Engineering
- Ekram Hossain
- Hesham Elsawy
- Mohamed-Slim Alouini
- Tony Q. S. Quek
- H. Vincent Poor
- Harpreet S. Dhillon
- Abhishek K. Gupta
- Jeffrey G. Andrews
Citations in the corpus
- Scheduling Policies for Federated Learning in Wireless Networks (2019, background): “Nonetheless, note that the analysis of this paper can be extended to account for power control in a straightforward way [24].”
- A Primer on Cellular Network Analysis Using Stochastic Geometry (2016, methodology): “We now consider the uplink analysis of a cellular network as first explored in [2] and later extended in several followup publications such as [4], [19], [20], [21].”
- Modeling and Analysis of Cellular Networks Using Stochastic Geometry: A Tutorial (2016, methodology): “Comparison between uplink and downlink performance can be found in [55].”
- Analytical Modeling of Mode Selection and Power Control for Underlay D2D Communication in Cellular Networks (2014, methodology): “2It was shown in [19] that, under a maximum transmit power constraint for the UEs, for uplink analysis, the circular approximation for the coverage of the tagged BS is inaccurate.”