Utilise Higher Modulation Formats with Heterogeneous Mobile Networks Increases Wireless Channel Transmission

3Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this paper, a higher modulation format with a heterogeneous mobile network (small cells, Macrocells) is proposed, explored and evaluated at a wireless transmission system. As such, study the effect of utilising developed schemes of modulation like the 256 Quadrature Amplitude Modulation (QAM) on the modulation/de-modulation level of the currently applied Orthogonal Frequency Division Multiplexing (OFDM). Since the higher bit-rate of transmission is one of the important topics for the forthcoming generation of mobile, the introduced system aims to regulate the trade-off relationship between the maximum achieved bit-rate and the minimum required level of the Signal-to-Noise Ratio (SNR). Hence, involve the small cell technology as a supportive tool for the higher schemes of modulation to increase the capacity of the channel at the accepted limit of error. Consequently, the presented system that combines both the higher modulation formats and the small cells can expand the transmission coverage with a higher bit-rate yet keeping a similar level of the received power. Moreover, the system performance in terms of the maximum bit-rate and the Bit Error Rate (BER) is investigated in the presence of the Additive White Gaussian Noise (AWGN) channel model. Also, the OFDM waveform is considered herein as an accommodating environment to examine the activity of the intended modulation techniques due to its’ efficiency in using the available Bandwidth (BW). Furthermore, a MATLAB simulation is used to implement the promoted system and clarify the advantages and disadvantages of it in comparison with the currently applied 64 QAM.

Cite

CITATION STYLE

APA

Haboobi, H., & Kadhum, M. R. (2019). Utilise Higher Modulation Formats with Heterogeneous Mobile Networks Increases Wireless Channel Transmission. In Advances in Intelligent Systems and Computing (Vol. 998, pp. 217–229). Springer Verlag. https://doi.org/10.1007/978-3-030-22868-2_17

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free