TDM-Energy Detection Based Dynamic Spectrum Sensing and Assignment

Abstract

Dynamic spectrum access (DSA) under bursty traffic has been a major challenge for the developers of Cognitive Radio Systems over last decade. In this paper, we proposed a sensing-based dynamic spectrum assignment and switching for seamless communication over high traffic density network. A Time Division Multiplexing (TDM) based scheme of spectrum sharing is proposed in this paper with a simple non-cooperative energy detection based spectrum sensing technique. The time allotted for each TDM frame is divided into sensing time and data transmission time. Further, the data transmission time is subdivided into small Transmission Time Interval (TTI). Performance has been observed based on a Video Frame transmission scenario within a Transmission Time Interval (TTI) over a severe fading and dynamic traffic networking. Considering, a low value of signal to noise ratio (SNR) range, we have calculated the bit error rate (BER) and the detection probability for higher modulation schemes. Maximum and average throughput of the proposed model is calculated in terms of bits transmitted per iteration for three different cases based on traffic density and available slots. The simulation shows tradeoff between BER and probability of detection (Pd) under Rayleigh faded noise variant channel conditions.