Kadhum, M., Kanakis, T. and Crockett, R. (2018) Intra-channel Interference Avoidance with the OGFDM Boosts Channel Capacity of Future Wireless Mobile Communication. In: Arai, K., Bhatia, R. and Kapoor, S. (eds.) Intelligent Computing : Proceedings of the 2019 Computing Conference, Volume 2. GBR: Springer. pp. 281-293.
Kadhum_etal_SNS_2019_Intra_channel_Interference_Avoidance_with_The_OGFDM_Boosts_Channel_Capacity_of_Future ... (409kB) |
Item Type: | Book Section |
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Abstract: | The Orthogonal Generalized Frequency Division Multiplexing (OGFDM) with Intra-Channel Interference Avoidance (ICIA) approach is, for the first time, proposed, explored and evaluated. Since the interference manipulation currently represents a hot topic for wireless mobile communication, the conventional approach of mitigating the interference is no longer acceptable. As a result, a novel method for addressing the interference between adjacent filtered sub-carriers (in-phase/out-phase) is comprehensively investigated herein. The proposed approach utilises the oversampling factor to effectively avoid interference and improve the quality of service of affected filters under bad transmission states. Thus, this supportive method which is essentially aware of propagation conditions is employed for removing the roll-off ( α ) impact yet improving the level of Bandwidth (BW) efficiency for applied filters of the OGFDM waveform. Besides, in terms of the system performance, the trade-off relation between the channel capacity and the key Hilbert filter parameter is theoretically and practically discussed. This requires investigation of the influence of α factor on the maximum achieved bit-rate at the acceptable limit of the Bit Error Rate (BER). A MATLAB simulation was introduced to test the performance characteristics of the proposed system in the physical layer (PHY) of an electrical back-to-back wireless transmission system. |
Uncontrolled Keywords: | Orthogonal Generalized Frequency Division Multiplexing (OGFDM), Intra-Channel Interference Avoidance (ICIA), Bit Error Rate (BER), Hilbert filter, Roll-off factor, Oversampling factor, Wireless mobile communication, Channel capacity, Physical layer (PHY) |
Creators: | Kadhum, Mohammad, Kanakis, Triantafyllos and Crockett, Robin |
Editors: | Arai, Kohei, Bhatia, Rahul and Kapoor, Supriya |
Publisher: | Springer |
Faculties, Divisions and Institutes: |
Faculties > Faculty of Arts, Science & Technology > Computing Faculties > Faculty of Arts, Science & Technology |
Date: | 14 November 2018 |
Date Type: | Acceptance |
Page Range: | pp. 281-293 |
Title of Book: | Intelligent Computing : Proceedings of the 2019 Computing Conference, Volume 2 |
Series Name: | Advances in Intelligent Systems and Computing |
Volume: | 2 |
Event Title: | 2018 Computing Conference |
Event Dates: | 2018-07-10 - 2018-07-12 |
Place of Publication: | GBR |
Event Location: | Holiday Inn London - Regent's Park, Carburton St, Fitzrovia |
Number of Pages: | 13 |
Language: | English |
ISBN: | 9783030228682 |
DOI: | https://doi.org/10.1007/978-3-030-22868-2_21 |
Status: | Published / Disseminated |
Refereed: | Yes |
Related URLs: | |
URI: | http://nectar.northampton.ac.uk/id/eprint/11978 |
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