Abstract
Based on today’s foreseen service requirements, such as live TV, video streaming, and file uploading and downloading; its needed to increase the data rates up to extreme level. This enhancement of data rates is highly depending on the usage of spectrum that how we are utilizing the available band to transmit data efficiently. In the present generation cellular networks, the channel estimation consumes some band of frequencies to determine the characteristics of wireless channel. Due to its (wireless channel) dynamic characteristics with respect to time and frequency, the conventional methods uses the more number of frequency bands hence the spectral efficiency decreases. This paper provides a technique to achieve higher spectral efficiency in next generation mobile networks with better system performance. In this method, a training sequence (reference pilot sequence) is superimposed along with the data sequence. At the receiver side, the same training sequence is used for estimating channel impulse response and then the data detection through the equalization. This estimated data are used recursively for channel re-estimation to increase the accuracy by minimizing the mean square error. From the simulation results and the numerical analysis, we show that the proposed method offers the better system performance with good spectral efficiency requirements.
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Manda, R., Salauddin, M. (2018). Achievable Spectral Efficiency with SIT-Based Channel Estimation Method in Next Generation Cellular Networks. In: Singh, R., Choudhury, S., Gehlot, A. (eds) Intelligent Communication, Control and Devices. Advances in Intelligent Systems and Computing, vol 624. Springer, Singapore. https://doi.org/10.1007/978-981-10-5903-2_28
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DOI: https://doi.org/10.1007/978-981-10-5903-2_28
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