Cognitive OFDM network sensing: a free probability approach

TL;DR

This paper introduces a free probability-based power detection method for OFDM networks, enabling blind detection of base station signals and transmission power with improved performance over traditional techniques.

Contribution

It presents a novel blind cell detection approach using free deconvolution, leveraging free probability theory to enhance network sensing capabilities.

Findings

Outperforms classical power detection methods in simulations

Provides maximum information extraction limits for OFDM terminals

Demonstrates practical feasibility of blind cell detection

Abstract

In this paper, a practical power detection scheme for OFDM terminals, based on recent free probability tools, is proposed. The objective is for the receiving terminal to determine the transmission power and the number of the surrounding base stations in the network. However, thesystem dimensions of the network model turn energy detection into an under-determined problem. The focus of this paper is then twofold: (i) discuss the maximum amount of information that an OFDM terminal can gather from the surrounding base stations in the network, (ii) propose a practical solution for blind cell detection using the free deconvolution tool. The efficiency of this solution is measured through simulations, which show better performance than the classical power detection methods.