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

Heba Haboobi, Mohammad Kadhum

Research output: Contribution to Book/ReportConference Contributionpeer-review


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.
Original languageEnglish
Title of host publicationIntelligent Computing
Subtitle of host publicationProceedings of the 2019 Computing Conference, Volume 2
EditorsKohei Arai, Rahul Bhatia, Supriya Kapoor
Number of pages13
ISBN (Electronic)9783030228682
ISBN (Print)9783030228682, 9783030228675
Publication statusE-pub ahead of print - 9 Jul 2019
EventComputing Conference 2019 - London, United Kingdom
Duration: 16 Jul 201917 Jul 2019

Publication series

NameAdvances in Intelligent Systems and Computing


ConferenceComputing Conference 2019
Country/TerritoryUnited Kingdom


  • Orthogonal Frequency Division Multiplexing (OFDM)
  • Higher modulation format
  • Signal-to-Noise Ratio (SNR)
  • Bit Error Rate (BER)
  • Bandwidth (BW)
  • Small cells
  • Macrocells
  • Additive White Gaussian Noise (AWGN)
  • Bit-rate
  • Heterogonous mobile networks


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