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Cooperative spectrum sensing schemes with partial statistics knowledge

Juan Augusto Maya, Leonardo Rey Vega, Cecilia G. Galarza

TL;DR

It is shown that the proposed cooperative schemes present good performances even without any knowledge about the measurements statistics in the unlicensed users and with only partial knowledge of them in the central entity.

Abstract

In this letter, we analyze the problem of detecting spectrum holes in cognitive radio systems. We consider that a group of unlicensed users can sense the radio signal energy, perform some simple processing and transmit the result to a central entity, where the decision about the presence or not of licensed users is made. We show that the proposed cooperative schemes present good performances even without any knowledge about the measurements statistics in the unlicensed users and with only partial knowledge of them in the central entity.

Cooperative spectrum sensing schemes with partial statistics knowledge

TL;DR

It is shown that the proposed cooperative schemes present good performances even without any knowledge about the measurements statistics in the unlicensed users and with only partial knowledge of them in the central entity.

Abstract

In this letter, we analyze the problem of detecting spectrum holes in cognitive radio systems. We consider that a group of unlicensed users can sense the radio signal energy, perform some simple processing and transmit the result to a central entity, where the decision about the presence or not of licensed users is made. We show that the proposed cooperative schemes present good performances even without any knowledge about the measurements statistics in the unlicensed users and with only partial knowledge of them in the central entity.

Paper Structure

This paper contains 6 sections, 1 theorem, 5 equations, 2 figures.

Table of Contents

  1. Introduction
  2. Signal Model
  3. Statistics
  4. Computation of the Error Probabilities
  5. Analysis of Results
  6. Conclusions

Key Result

Theorem 1

Let $\{y_k\}_{k=1}^n$ be mutually independent random variables with logarithmic moment generating function (LMGF) $\mu_{k}(s)\triangleq \log\mathbb{E}\left(e^{y_k s}\right)$. Assume that $\mathbb{E}(y_k^2)$ and $\mathbb{E}(|y_k-\mathbb{E}(y_k)|^3)$ exist and are finite $\forall k\in[1:n]$. Let $T_n=

Figures (2)

  • Figure 1: A CR network with spectrum sensing devices. The SUs should be able to reliable detect far away activity (low SNR signals) of primary users.
  • Figure 2: Parameters: $P_\textrm{int}=0.01$, $P_t=.97$ dBm, $d_0=1$, $\gamma=3.3$, $K_\textrm{dB}= 0$ dB, $d_c=0.14$, $n=10$ and $m= 10$.

Theorems & Definitions (1)

  • Theorem 1