Abstract
We investigate the design of signal processing in wideband spectrum usage (SPU) measurements for efficient and smart dynamic spectrum access (DSA). In particular, we focus on spectrum usage detection (SPUD) in the experimental measurements. The detection results can be exploited to estimate statistics of the SPU. An appropriate design of the SPUD depends on the actual SPU in the target frequency band. There is a broad range of wireless systems in a considered broad measurement frequency band, such as from 60MHz to 6GHz, therefore a general design framework in the measurement frequency band is desired. In the proposed design framework, we at first define two models in terms of the SPU and the SPUD process. In addition, the proposed design procedure determines the adequate choice of parameters for the SPUD model based on given parameters of the SPU model in the target frequency band. Numerical evaluation based on computer simulations shows the validity of the design framework and design procedure. Moreover, a modified duty cycle (DC) estimation method is proposed, which can remove bias errors caused by low time resolution in the SPUD. Numerical evaluation based on experimental measurements demonstrates the practicality of the detection framework and procedure proposed in this work.
Highlights
In the wireless communication field, spectrum scarcity is an urgent issue
In this paper we have investigated the design of spectrum usage detection (SPUD) according to the spectrum usage (SPU) information
Wide-band SPU measurements cover multiple wireless systems and the characteristic of the primary user (PU) SPU strongly depends on the wireless system
Summary
In the wireless communication field, spectrum scarcity is an urgent issue. Since most of the spectrum has been exclusively assigned to licensed wireless systems, there are not enough spectrum resources for new emerging wireless services. In ED, averaging the observed power spectrum in the time and frequency domains is typically employed to enhance the detection performance This area for averaging is referred to as mask in this paper. The mask size affects the detection performance as well as the time and frequency domain resolutions This implies that the applicable parameters for SPUD and statistics estimation strongly depend on the characteristics of the PU SPU itself. The validity of the proposed design (framework and procedure) and the modified DC estimation are confirmed by computer simulations, and spectrum measurement campaigns in various SPU scenarios (LTE: long term evolution, DECT: digital enhanced cordless telecommunications, and SCPC/FDMA: single channel per carrier/frequency division multiple access).
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