Genetic Algorithm-Based Beam Refinement for Initial Access in Millimeter Wave Mobile Networks
| العنوان: | Genetic Algorithm-Based Beam Refinement for Initial Access in Millimeter Wave Mobile Networks |
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| المؤلفون: | Hao Guo, Behrooz Makki, Tommy Svensson |
| المصدر: | Wireless Communications and Mobile Computing (1530-8669) vol.2018(2018) Wireless Communications and Mobile Computing, Vol 2018 (2018) Wireless Communications and Mobile Computing |
| بيانات النشر: | Hindawi, 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | Beamforming, Spatial correlation, Article Subject, Computer Networks and Communications, Computer science, Throughput, 02 engineering and technology, lcsh:Technology, lcsh:Telecommunication, 0203 mechanical engineering, lcsh:TK5101-6720, Genetic algorithm, 0202 electrical engineering, electronic engineering, information engineering, Electronic engineering, Electrical and Electronic Engineering, lcsh:T, Transmitter, Communication Systems, 020206 networking & telecommunications, 020302 automobile design & engineering, Extremely high frequency, Signal Processing, Key (cryptography), Telecommunications, 5G, Information Systems |
| الوصف: | Initial access (IA) is identified as a key challenge for the upcoming 5G mobile communication system operating at high carrier frequencies, and several techniques are currently being proposed. In this paper, we extend our previously proposed efficient genetic algorithm- (GA-) based beam refinement scheme to include beamforming at both the transmitter and the receiver and compare the performance with alternative approaches in the millimeter wave multiuser multiple-input-multiple-output (MU-MIMO) networks. Taking the millimeter wave communications characteristics and various metrics into account, we investigate the effect of different parameters such as the number of transmit antennas/users/per-user receive antennas, beamforming resolutions, and hardware impairments on the system performance employing different beam refinement algorithms. As shown, our proposed GA-based approach performs well in delay-constrained networks with multiantenna users. Compared to the considered state-of-the-art schemes, our method reaches the highest service outage-constrained end-to-end throughput with considerably less implementation complexity. Moreover, taking the users’ mobility into account, our GA-based approach can remarkably reduce the beam refinement delay at low/moderate speeds when the spatial correlation is taken into account. Finally, we compare the cases of collaborative users and noncollaborative users and evaluate their difference in system performance. |
| وصف الملف: | text/xhtml; application/pdf |
| اللغة: | English |
| تدمد: | 1530-8669 |
| DOI: | 10.1155/2018/5817120 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ca3d2d094a3eca9e96d6c7cd2128d40 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....2ca3d2d094a3eca9e96d6c7cd2128d40 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15308669 |
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| DOI: | 10.1155/2018/5817120 |