Abstract
Abstract We address the problem of analyzing the performances of interference-limited cellular networks in large-scale shadowing environments. Focusing on the fractional frequency reuse (FFR) framework, we examine how to optimally assign mobile users in a cell either to the full frequency reuse part or to the orthogonal part of the FFR band. Instead of using traditional Monte Carlo simulations, which do not provide sufficiently accurate results under important shadowing, we propose a fast and accurate numerical method. We consider a fast-fading environment and we use the ergodic capacity as the performance measure. Applying a distributed power control and scheduling strategy, we examine both cases where access points have knowledge of partial- or full-channel state information (CSI); for the latter, we also propose an approximated waterfilling strategy. The interest of our method lies in the fact that it allows for a fast and accurate analysis of the performances of FFR. In addition, it takes into account a broad range of shadowing environments.
Highlights
Since the invention of digital networks, efforts for providing higher capacity and higher quality of service have never stopped
We propose an accurate and fast numerical method to determine the performances of fractional frequency reuse (FFR) in terms of ergodic capacity, in a multicell network suffering from path loss, shadowing and Rayleigh fading
Instead of using Monte Carlo simulations or empirical measurements, we proposed a numerical method to compute the ergodic capacity in a fastfading environment
Summary
Since the invention of digital networks, efforts for providing higher capacity and higher quality of service have never stopped. A channel inversion-type power control is applied within each cell, based on the mean information (i.e., the path losses Hpl,n) available at the APs: the power emitted at each time slot by AP n is Pn = E xn(m)2 = min Pmax, P∗/Hpl,n , where Pmax is the maximum power available at the AP, and P∗ is the target power at the mobile user. 3 Methodology we aim at developing a fast and accurate method for analyzing the performances of interferencelimited cellular systems In this context, we focus on the FFR framework for which we examine how to assign mobile users either to the FR1 or to the FR3 band, based on their path losses (because this leads to a distributed strategy). We examine the full-CSI scheme in Section 3.3, where we propose an approximated waterfilling-in-time strategy
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