Geolokasi Nirkabel Graf Faktor RSS Mencapai Tingkat Akurasi MilimeterWave pada 6G

  • Muhammad Reza Kahar Aziz Program Studi Teknik Elektro, Fakultas Teknologi Industri, Institut Teknologi Sumatera, Lampung Selatan, Lampung 35365, Indonesia
  • Heriansyah Program Studi Teknik Elektro, Fakultas Teknologi Industri, Institut Teknologi Sumatera, Lampung Selatan, Lampung 35365, Indonesia
  • Syanne Octavia Mabuka Program Studi Teknik Telekomunikasi, Fakultas Teknologi Industri, Institut Teknologi Sumatera, Lampung Selatan, Lampung 35365, Indonesia
  • Muhammad Wahyu Fajrilah Program Studi Teknik Elektro, Fakultas Teknologi Industri, Institut Teknologi Sumatera, Lampung Selatan, Lampung 35365, Indonesia
  • Efa Maydhona Saputra Program Studi Teknik Elektro, Fakultas Teknologi Industri, Institut Teknologi Sumatera, Lampung Selatan, Lampung 35365, Indonesia
  • Anita Pascawati Pusat Riset Teknologi Roket, Organisasi Riset Penerbangan dan Antariksa, Badan Riset dan Inovasi Nasional, Bogor, Jawa Barat 16911, Indonesia
  • Ardiansyah Musa Efendi Singapore Connectivity Chipset Algorithm Design Lab, Huawei, Singapura

Abstract

Artikel ini membahas teknik geolokasi nirkabel yang menggunakan factor graph (FG) atau graf faktor berbasis received signal strength (RSS). Pentingnya menurunkan suatu teori batas (bound) adalah untuk melihat efektivitas dan validitas dari sebuah teknik yang ditemukan serta untuk memperbesar peluang inovasi suatu teknologi. Di dalam artikel ini, Cramer-Rao lower bound (CRLB) didapatkan dari penurunan matriks Jacobian, yang terletak di dalam Fisher information matrix (FIM). Kemudian, formula tersebut, yang terletak di dalam function node (simpul fungsi) utama dari FG berbasis RSS (RSS-FG), memiliki informasi hubungan antara RSS dan koordinat target. Selain itu, artikel ini juga diperkaya dengan investigasi berbagai skenario luas grid monitoring spot sebagai teknik geolokasi RSS-FG dalam mencapai akurasi yang diharapkan oleh 6G, yaitu tingkat 1 cm di lingkungan milimeterWave (mmWave). Hasil simulasi menunjukkan bahwa CRLB yang telah diturunkan memiliki tingkat akurasi yang paling tinggi, sehingga valid untuk menjadi bound bagi teknik geolokasi berbasis RSS-FG tersebut. Hal ini ditunjukkan dengan nilai kurva root mean squared error (RMSE) yang paling rendah untuk CRLB. Teknik RSS-FG ini pun dapat mencapai akurasi 1 cm dan juga mencapai CRLB di sekitar signal-to-noise ratio (SNR) lebih besar atau sama dengan 20 dB untuk skenario luas grid  m × 1 m. Temuan lainnya menunjukkan bahwa variasi frekuensi tidak begitu memengaruhi akurasi teknik RSS-FG. Artikel ini diharapkan dapat memberikan pemahaman yang mendalam dan jelas mengenai teknik geolokasi nirkabel berbasis FG dengan masukan ke sistem berupa hasil pengukuran RSS.

References

C. De Lima et al., “Convergent communication, sensing and localization in 6G systems: An overview of technologies, opportunities and challenges,” IEEE Access, vol. 9, pp. 26902-26925, Jan. 2021, doi: 10.1109/ACCESS.2021.3053486.

C. Gentile, N. Alsindi, R. Raulefs, and C. Teolis, Geolocation Techniques: Principles and Applications. New York, NY, USA: Springer, 2013.

Y.M. Akbar and I. Riyanto, “Local area positioning system (LAPS) for indoor navigation system,” in 2015 9th Asia Model. Symp. (AMS), 2016, pp. 137-141, doi: 10.1109/AMS.2015.30.

H. Wymeersch, J. Lien, and M. Z. Win, “Cooperative localization in wireless networks,” in Proc. IEEE, 2009, pp. 427-450, doi: 10.1109/JPROC.2008.2008853.

A. Musa et al., “A decision tree-based NLOS detection method for the UWB indoor location tracking accuracy improvement,” Int. J. Commun. Syst., vol. 32, no. 13, pp. 1-13, Jun. 2019, doi: 10.1002/dac.3997.

D.C. Larsson, A. Grövlen, S. Parkvall, dan O. Liberg, “6G Standardization: Timeline and Technology Principles,” Ericsson Blog. Tanggal akses: 16-Nov-2025. [Online]. Tersedia: https://www.ericsson.com/en/blog/2024/3/6g-standardization-timeline-and-technology-principles

“Framework and overall objectives of the future development of IMT for 2030 and beyond,” International Telecommunication Union, Switzerland, Recommendation ITU-R M.2160-0, Nov. 2023.

D.J. Suroso, P. Cherntanomwong, and P. Sooraksa, “Synthesis of a small fingerprint database through a deep generative model for indoor localisation,” Elektron. ir Elektrotech., vol. 29, no. 1, pp. 69-75, Feb. 2023, doi: 10.5755/J02.EIE.31905.

D. Castelvecchi, “The quantum internet has arrived (and it hasn’t),” Nature, vol. 554, no. 7692, pp. 1-5, Feb. 2018, doi: 10.1038/d41586-018-01835-3.

C.Q. Choi, P. Fairley, T.S. Perry, and P. Patel, “A guide to the quantum-sensor boom: Atomic scale bolsters sensing revolutions in medicine, tech, and engineering,” IEEE Spectr., vol. 59, no. 6, pp. 5-13, Jun. 2022, doi: 10.1109/MSPEC.2022.9792186.

Y. Zhuang et al., “Visible light positioning and navigation using noise measurement and mitigation,” IEEE Trans. Veh. Technol., vol. 68, no. 11, pp. 11094-11106, Jun. 2019, doi: 10.1109/TVT.2019.2943517.

R. Scopigno et al., “The potential benefits of on-board Li-Fi for the cooperation among vehicles,” in 2015 17th Int. Conf. Transparent Opt. Netw. (ICT.), 2015, pp. 1–6, doi: 10.1109/ICTON.2015.7193411.

Y. Zhuang et al., “A survey of positioning systems using visible LED lights,” IEEE Commun. Surv. Tutor., vol. 20, no. 3, pp. 1963–1988, Feb. 2018, doi: 10.1109/COMST.2018.2806558.

A. Musa et al., “A design of indoor RTLS by use of the UWB-WSN based two reference points,” in 2018 2nd Int. Conf. Appl. Electromagn. Technol. (AEMT), 2018, pp. 29-33, doi: 10.1109/AEMT.2018.8572411.

A.A. Purwita, M.D. Soltani, M. Safari, and H. Haas, “Terminal orientation in OFDM-based LiFi systems,” IEEE Trans. Wirel. Commun., vol. 18, no. 8, pp. 4003-4016, Aug. 2019, doi: 10.1109/TWC.2019.2920132.

J.-C. Chen, Y.-C. Wang, C.-S. Maa, and J.-T. Chen, “Network-side mobile position location using factor graphs,” IEEE Trans. Wirel. Commun., vol. 5, no. 10, pp. 2696-2704, Oct. 2006, doi: 10.1109/TWC.2006.03401.

F.R. Kschischang, B.J. Frey, and H.-A. Loeliger, “Factor graphs and the sum-product algorithm,” IEEE Trans. Inf. Theory, vol. 47, no. 2, pp. 498-519, Feb. 2001, doi: 10.1109/18.910572.

H.-A. Loeliger and P.O. Vontobel, “Factor graphs for quantum probabilities,” IEEE Trans. Inf. Theory, vol. 63, no. 9, pp. 5642-5665, Sep. 2017, doi: 10.1109/TIT.2017.2716422.

H.D. Pfister, C. Piveteau, J.M. Renes, and N. Rengaswamy, “Belief propagation for classical and quantum systems: Overview and recent results,” IEEE BITS Inf. Theory Mag., vol. 2, no. 3, pp. 20-32, Dec. 2023, doi: 10.1109/mbits.2023.3285848.

M.R.K Aziz, “Factor graph-based geolocation techniques for position detection of unknown radio wave emitters,” Ph.D. Dissertation, Japan Advanced Institute of Science and Technology, Nomi, Japan, 2016.

S.N. Karimah, M.R.K. Aziz, and T. Matsumoto, “A PTDOA-DRSS hybrid factor graph-based unknown radio wave geolocation,” in 2018 Int. Conf. Signals Syst. (ICSigSys), 2018, pp. 281-288, doi: 10.1109/ICSIGSYS.2018.8372773.

M. Cheng and M.R.K. Aziz, “DOA-based 3D tracking with factor graph technique for a multi-sensor system,” IEEE Sens. J., vol. 21, no. 22, pp. 25853-25861, Nov. 2021, doi: 10.1109/JSEN.2021.3117362.

C.-T. Huang, C.-H. Wu, Y.-N. Lee, and J.-T. Chen, “A novel indoor RSS-based position location algorithm using factor graphs,” IEEE Trans. Wirel. Commun., vol. 8, no. 6, pp. 3050-3058, Jun. 2009, doi: 10.1109/TWC.2009.080452.

M.R.K. Aziz, K. Anwar, and T. Matsumoto, “DRSS-based factor graph geolocation technique for position detection of unknown radio emitter,” in Eur. Wirel. 2016; 22th Eur. Wirel. Conf., 2016, pp. 1-6.

M.R.K. Aziz, Heriansyah, E. Saputra, and A. Musa, “Theoretical bound of CRLB for energy efficient technique of RSS-based factor graph geolocation,” in Int. Conf. Sci. Infrastruct. Technol. Reg. Dev. (ICoSITeR) 2016, 2018, pp. 1-6, doi: 10.1088/1755-1315/124/1/012011.

M.R.K. Aziz, Y. Lim, and T. Matsumoto, “A new wireless geolocation technique using joint RSS-based Voronoi and factor graph,” in 2015 9th Asia Model. Symp. (AMS), 2016, pp. 131-136, doi: 10.1109/AMS.2015.29.

M.R.K. Aziz et al., “Achieving accurate geo-location detection using joint RSS-DOA factor graph technique,” in 2016 10th Int. Conf. Telecommun. Syst. Serv. Appl. (TSSA), 2017, pp. 1-6, doi: 10.1109/TSSA.2016.7871076.

C. Mensing and S. Plass, “Positioning based on factor graphs,” EURASIP J. Adv. Signal Process., vol. 2007, pp. 1-11, Dec. 2007, doi: 10.1155/2007/41348.

M.R.K. Aziz, K. Anwar, and T. Matsumoto, “A new DOA-based factor graph geolocation technique for detection of unknown radio wave emitter position using the first-order Taylor series approximation,” EURASIP J. Adv. Signal Process., vol. 2016, no. 1, pp. 1-10, Aug. 2016, doi: 10.1186/s13638-016-0683-4.

Y. Xing and T.S. Rappaport, “Millimeter wave and terahertz urban microcell propagation measurements and models,” IEEE Commun. Lett., vol. 25, no. 12, pp. 3755-3759, Dec. 2021, doi: 10.1109/LCOMM.2021.3117900.

Published
2026-02-27
How to Cite
Muhammad Reza Kahar Aziz, Heriansyah, Syanne Octavia Mabuka, Muhammad Wahyu Fajrilah, Efa Maydhona Saputra, Anita Pascawati, & Ardiansyah Musa Efendi. (2026). Geolokasi Nirkabel Graf Faktor RSS Mencapai Tingkat Akurasi MilimeterWave pada 6G. Jurnal Nasional Teknik Elektro Dan Teknologi Informasi, 15(1), 81-89. https://doi.org/10.22146/jnteti.v15i1.23919
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Articles