Optimasi Penginderaan Spektrum Pada Radio Kognitif Untuk Mengatasi Kelangkaan Frekuensi Dalam Sistem Komunikasi Nirkabel

Authors

Nasrullah Armi
Badan Riset dan Inovasi Nasional
DOI: https://doi.org/10.55981/brin.1653

Keywords:

Penginderaan Spektrum, Radio Kognitif, Lapisan Fisik, Lapisan MAC, Kelangkaan Spektrum

Synopsis

Jumlah pengguna perangkat nirkabel yang meningkat, diikuti dengan jenis-jenis layanan komunikasi data yang beragam dengan fitur cerdas yang dibutuhkan masyarakat, membuat sumber daya spektrum frekuensi semakin langka. Padatnya pengguna disatu rentang frekuensi tertentu, namun minim pengguna di rentang frekuensi lainnya membuat penggunaan spektrum frekuensi menjadi tidak efisien. Untuk itu dibutuhkan sebuah teknologi akses spektrum yang dinamis, yang memungkinkan pengguna berpindah dari satu frekuensi tertentu ke rentang frekuensi lainnya tanpa perubahan dari sisi perangkat keras.

Teknologi penginderaan dan akses spektrum dinamis merupakan solusi terhadap kelangkaan spektrum. Terdapat 2 metode dalam teknologi penginderaan dan akses spektrum dinamis, yakni lapisan bawah (underlay) dan lapisan atas (overlay). Metode lapisan bawah sering kita kenal dengan teknik komunikasi ultra-wideband. Pada teknik ini, pengguna komunikasi nirkabel dapat menempati spektrum frekuensi lebar dengan ketentuan bahwa daya transmisi berada dibawah batas yang sudah ditentukan sehingga tidak mengganggu pengguna komunikasi nirkabel lainnya. Sementara metode lapisan atas, pengguna dapat menggunakan spektrum frekuensi dengan daya transmisi melebihi nilai batas, namun dengan ketentuan bahwa spektrum frekuensi tidak digunakan oleh pengguna komunikasi nirkabel lainnya. Metode penginderaan dan akses lapisan atas ini sering dikenal dengan sistem radio kognitif.

Penginderaan spektrum menjadi hal yang paling krusial dan penting dalam radio kognitif. Pengembangan teknik penginderaan spektrum terus dilakukan sejak munculnya sistem radio kognitif yang diproyeksikan dapat mengatasi kelangkaan spektrum. Kegiatan riset teknik penginderaan spektrum tidak hanya dilakukan pada lapisan fisik saja, tapi juga pada lapisan MAC yang tidak hanya fokus pada deteksi ketersediaan spektrum, namun juga mempertimbangkan strategi akses dalam meningkatkan kinerja komunikasi. Prinsipnya bahwa penginderaan spektrum harus dilakukan dengan efektif agar menghasilkan akurasi data spektrum kosong yang tinggi dengan efisien (waktu penginderaan, konsumsi daya, dan kompleksitas).

 

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Author Biography

Nasrullah Armi, Badan Riset dan Inovasi Nasional

Nasrullah Armi, lahir di Serang, pada tanggal 15 Desember 1973 adalah anak ke-3 dari Bapak Bayumi Thohir dan Ibu Arini. Menikah dengan Mia Murtikasari dan dikaruniai 2 orang anak, yaitu Muhammad Rafy Nasrullah dan Haifa Varisha Fitri Nasrullah. Berdasarkan Keputusan Presiden Republik Indonesia Nomor 2/M Tahun 2023 tanggal 9 Januari 2023 yang bersangkutan diangkat sebagai Peneliti Ahli Utama terhitung mulai tanggal 9 Januari 2023. Berdasarkan Keputusan Kepala Badan Riset dan Inovasi Nasional Nomor 246/I/HK/2024, tanggal 8 November 2024 yang bersangkutan melakukan orasi pengukuhan Profesor Riset.
Menamatkan Sekolah Dasar YPWKS 1 Cilegon, tahun 1986, Sekolah Menengah Pertama Negeri 3 (Pulomerak) Cilegon, tahun 1989, dan Sekolah Menengah Atas Negeri 8 Bandung, tahun 1992. Memperoleh gelar Sarjana Teknik dari Institut Teknologi Nasional (ITENAS) Bandung tahun 1997, gelar Magister Master of Engineering dari Toyohashi University of Technology, Japan tahun 2004, dan gelar Doktor bidang Electrical & Electronic Engineering dari Universiti Teknologi PETRONAS, Malaysia tahun 2013 mengikuti beberapa pelatihan yang terkait dengan bidang kompetensinya, antara lain: Workshop on Wireless Communication and Security di Bandung (2006), R3370 vector network analyzer di Singapore (2007), workshop biosensors dan biophotonics di Taiwan (2007), metodologi riset di Malaysia (2009) dan Phased Array Radar & Pulse Compression Radar di Bandung (2015).
Pernah menduduki jabatan struktural sebagai Kepala Sub-bidang Sarana Elektronika (tahun 2004–2006), Kepala Bidang Sarana Penelitian (tahun 2007 - 2009), dan Kepala Pusat Riset Telekomunikasi (tahun 2022 –Sekarang). Jabatan fungsional peneliti diawali sebagai Peneliti Ahli Muda golongan IIIc tahun 2008, Peneliti Ahli Madya golongan IVa tahun 2015, dan memperoleh jabatan Peneliti Ahli Utama golongan IVc bidang Komunikasi Nirkabel tahun 2023. Menghasilkan 87 karya tulis ilmiah (KTI), baik yang ditulis sendiri maupun bersama penulis lain dalam bentuk jurnal dan prosiding. Sebanyak 74 KTI ditulis dalam bahasa Inggris, 1 KTI dalam bahasa Jepang, dan 12 KTI ditulis dalam bahasa Indonesia.
Ikut serta dalam pembinaan kader ilmiah, yaitu sebagai pembimbing jabatan fungsional peneliti pada Badan Riset dan Inovasi Nasional (BRIN), pembimbing skripsi (S1) pada Universitas Telkom dan Insitut Teknologi Nasional; pembimbing disertasi (S-3) pada Institut Teknologi Bandung (ITB) dan program PhD Degree by Research di Université Polytechnique Hauts-de-France, Prancis; serta penguji Thesis (S-2) pada Universitas Indonesia.
Aktif dalam organisasi profesi ilmiah sebagai anggota seperti IEICE dan IEEE Japan (2002–2024), IEEE Malaysia (2010–2013), IEEE Indonesia (2018-2020), dan Perhimpunan Periset Indonesia (2018–Sekarang).
Menerima tanda penghargaan Satyalancana Karya Satya X Tahun (tahun 2008), XX Tahun (tahun 2018) dari Presiden RI.

References

Akyildiz, I. F., Lee, W. Y., & Chowdhury, K. R. (2009). CRAHNs: Cognitive radio ad hoc networks. Ad Hoc Networks, 7(5), 810–836. https://doi.org/10.1016/J.ADHOC.2009.01.001

Al-Dulaimi, O., Al-Dulaimi, M., Al-Dulaimi, A., & Alexandra, M. O. (2023). Cognitive Radio Network Technology for IoT-Enabled Devices. Engineering Proceedings, 41(1). https://doi.org/10.3390/engproc2023041007

Ali, A. M., Adoum, B. A., Bachar, I. S., Armi, N., Idriss, M. S., & Khayal, M. Y. (2021). A Review of the Use Cases and Possible Technologies for 5G and Beyond Communications. Current Journal of Applied Science and Technology, 94–111. https://doi.org/10.9734/cjast/2021/v40i1831447

Ali, M., Yasir, M. N., Bhatti, D. M. S., & Nam, H. (2023). Optimization of Spectrum Utilization Efficiency in Cognitive Radio Networks. IEEE Wireless Communications Letters, 12(3), 426–430. https://doi.org/10.1109/LWC.2022.3229110

Ali Wael, C. B., Armi, N., Miftahushudur, T., Amrullah, Y. S., & Sariningrum, R. (2018). NC-OFDM Transceiver design for maritime cognitive radio. Proceedings - 2018 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2018. https://doi.org/10.1109/ICRAMET.2018.8683927

Angga, B. S., Aryanta, D., & Armi, N. (2013). Elkomika ©Teknik Elekro Itenas | No Kinerja Spectrum Sensing dengan Metode Matched Filter Detector pada Radio Kognitif. Dalam Jurnal Teknik Elektro Januari-Juni (Vol. 1).

Armi, N., Arshad, M., Rizvi, S. S. A., Yusoff, M. Z., & Saad, N. M. (2012). Performance of opportunistic spectrum access with sensing error in cognitive radio Ad hoc networks. Journal of Engineering Science and Technology, 7(2).

Armi, N., Chaeriah, B. A. W., & Arhad, M. (2015). Performance evaluation of energy detector in cognitive radio system. Advanced Science Letters, 21(11). https://doi.org/10.1166/asl.2015.6596

Armi, N., Chaeriah, B. A. W., Mahmudin, D., Daud, P., & Arshad, M. (2016). Energy detector threshold under White Gaussian Noise channel in cognitive radio system. ICITACEE 2015 - 2nd International Conference on Information Technology, Computer, and Electrical Engineering: Green Technology Strengthening in Information Technology, Electrical and Computer Engineering Implementation, Proceedings. https://doi.org/10.1109/ICITACEE.2015.7437832

Armi, N., Chaeriah, B. A. W., Oktafiani, F., Suratman, F. Y., & Wijaya, A. (2017). Performance of energy detector with certain and uncertain noise in OFDM cognitive radio system. Proceedings - 2016 International Electronics Symposium, IES 2016. https://doi.org/10.1109/ELECSYM.2016.7861021

Armi, N., Chaeriah, B. A. W., Suratman, F. Y., & Wijaya, A. (2017). Sensing time-based throughput performance in OFDM cognitive radio system. Proceedings - ICWT 2016: 2nd International Conference on Wireless and Telematics 2016. https://doi.org/10.1109/ICWT.2016.7870858

Armi, N., Gharibi, W., Khan, W. Z., Zangoti, H., Rizvi, S., & Wael, C. (2017). Error detection of malicious user attack in cognitive radio networks. Proceeding - 2017 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2017, 2018-Janua. https://doi.org/10.1109/ICRAMET.2017.8253152

Armi, N., Rizvi, S., Khan, W. Z., Zangoti, H., Gharibi, W., & Wael, C. (2017). Malicious user attack in cognitive radio networks. Telkomnika (Telecommunication Computing Electronics and Control), 15(3). https://doi.org/10.12928/TELKOMNIKA.v15i3.5794

Armi, N., Saad, N. M., Yusoff, M. Z., & Arshad, M. (2010). MAC protocol for opportunistic spectrum access in cognitive radio system. ISIEA 2010 - 2010 IEEE Symposium on Industrial Electronics and Applications. https://doi.org/10.1109/ISIEA.2010.5679452

Armi, N., Saad, N. M., & Zuki, M. (2010). Optimal Sensing for Opportunistic Spectrum Access in Cognitive Radio. Dalam Yusoff & M.Arshad International Journal of Engineering (IJE) (Nomor 4). https://www.researchgate.net/publication/45728900

Armi, N., Saad, N. M., Zuki, M. Y., & Arshad, M. (2010). Cooperative spectrum sensing and signal detection in cognitive radio. 2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010. https://doi.org/10.1109/ICIAS.2010.5716151

Armi, N., Wael, C., Taufiqurrahman, Wijayanto, Y. N., Khan, W. Z., & Gharibi, W. (2018). OFDM based signal detection performance in cognitive radio systems. 2018 International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2018. https://doi.org/10.1109/ISRITI.2018.8864276

Armi, N., Wahab, M., & Asep Yudi, H. (2015). Performance evaluation of energy detector in Cooperative Spectrum Sensing. Proceedings of 2014 8th International Conference on Telecommunication Systems Services and Applications, TSSA 2014. https://doi.org/10.1109/TSSA.2014.7065917

Armi, N., Yusoff, M. Z., & Saad, N. M. (2011a). Multiuser sensing for opportunistic spectrum access in cognitive radio networks. European Journal of Scientific Research, 52(4).

Armi, N., Yusoff, M. Z., & Saad, N. M. (2011b). Sensing and access over imperfect channel in opportunistic spectrum access system. 2011 National Postgraduate Conference - Energy and Sustainability: Exploring the Innovative Minds, NPC 2011. https://doi.org/10.1109/NatPC.2011.6136439

Armi, N., Yusoff, M. Z., & Saad, N. M. (2011c). Spectrum sensing and throughput performance in opportunistic spectrum access system. ISWTA 2011 - 2011 IEEE Symposium on Wireless Technology and Applications. https://doi.org/10.1109/ISWTA.2011.6089555

Armi, N., Yusoff, M. Z., & Saad, N. M. (2012). Decentralized cooperative user in opportunistic spectrum access system. ICIAS 2012 - 2012 4th International Conference on Intelligent and Advanced Systems: A Conference of World Engineering, Science and Technology Congress (ESTCON) - Conference Proceedings, 1. https://doi.org/10.1109/ICIAS.2012.6306183

Armi, N., Yusoff, M. Z., & Saad, N. M. (2015). Decentralized multiuser cooperative spectrum sensing in cognitive radio system. International Journal on Electrical Engineering and Informatics, 7(3). https://doi.org/10.15676/ijeei.2015.7.3.5

Armi, N.M. Saad, N., & Arshad, M. (2009). Hard Decision Fusion based Cooperative Spectrum Sensing in Cognitive Radio System. ITB Journal of Information and Communication Technology, 3(2), 109–122. https://doi.org/10.5614/itbj.ict.2009.3.2.3

Axell, E., Leus, G., Larsson, E. G., & Poor, H. V. (2012). Spectrum Sensing for Cognitive Radio: State-of-the-Art and Recent Advances. IEEE Signal Processing Magazine, 29(3), 101–116. https://doi.org/10.1109/MSP.2012.2183771

Baby, S. M., & James, M. (2016). A Comparative Study on Various Spectrum Sharing Techniques. Procedia Technology, 25. https://doi.org/10.1016/j.protcy.2016.08.152

Bin Ali Wael, C., Armi, N., Mitayani, A., Kurniawan, D., Suryadi Satyawan, A., & Subekti, A. (2020). Analysis of IEEE 802.11p MAC Protocol for Safety Message Broadcast in V2V Communication. 2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET), 320–324. https://doi.org/10.1109/ICRAMET51080.2020.9298654

Cahyo, H., Aryanta, D., & Armi, N. (2013). Elkomika ©Teknik Elekro Itenas | No Kinerja Spectrum Sensing Dengan Metode Cyclostationary Feature Detector Pada Radio Kognitif. Dalam Jurnal Teknik Elektro Januari-Juni (Vol. 1).

Cordeiro, C., Challapali, K., Birru, D., & Shankar, S. (2005). IEEE 802.22: the first worldwide wireless standard based on cognitive radios. First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005., 328–337. https://doi.org/10.1109/DYSPAN.2005.1542649

Dannana Suresh and Chapa, B. P. and R. G. S. (2018). Spectrum Sensing Using Matched Filter Detection. Dalam C. A. and S. S. C. and P. P. K. Bhateja Vikrant and Coello Coello (Ed.), Intelligent Engineering Informatics (hlm. 497–503). Springer Singapore.

Eze, J., Zhang, S., Liu, E., & Eze, E. (2017). Cognitive radio technology assisted vehicular ad-hoc networks (VANETs): Current status, challenges, and research trends. ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing. https://doi.org/10.23919/IConAC.2017.8082035

Faulhaber, G. R. (2006). The future of wireless telecommunications: Spectrum as a critical resource. Information Economics and Policy, 18(3). https://doi.org/10.1016/j.infoecopol.2006.06.004

Ghafoor, S., Sutton, P. D., Sreenan, C. J., & Brown, K. N. (2014). Cognitive radio for disaster response networks: Survey, potential, and challenges. IEEE Wireless Communications, 21(5). https://doi.org/10.1109/MWC.2014.6940435

Haykin, S. (2005). Cognitive radio: brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications, 23(2), 201–220. https://doi.org/10.1109/JSAC.2004.839380

ITU. (2019). ITU-R: Managing the radio-frequency spectrum for the world. WRC-19 in Sharm el-Sheikh, Egypt.

Kaelbling, L. P., Littman, M. L., & Cassandra, A. R. (1998). Planning and acting in partially observable stochastic domains. Artificial Intelligence, 101(1), 99–134. https://doi.org/https://doi.org/10.1016/S0004-3702(98)00023-X

Khan, W. Z., Rehman, M. H., Zangoti, H. M., Afzal, M. K., Armi, N., & Salah, K. (2020). Industrial internet of things: Recent advances, enabling technologies and open challenges. Computers and Electrical Engineering, 81. https://doi.org/10.1016/j.compeleceng.2019.106522

Kim, K., Xin, Y., & Rangarajan, S. (2010). Energy Detection Based Spectrum Sensing for Cognitive Radio: An Experimental Study. 2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 1–5. https://doi.org/10.1109/GLOCOM.2010.5683560

Leena K. and Hiremath, S. G. (2022). Cognitive Radio Networks for Internet of Things. Dalam R. and P. I. and S. Y. Raj Jennifer S. and Palanisamy (Ed.), Intelligent Sustainable Systems (hlm. 515–526). Springer Singapore.

Liang, Y.-C., Hoang, A. T., & Chen, H.-H. (2008). Cognitive radio on TV bands: a new approach to provide wireless connectivity for rural areas. IEEE Wireless Communications, 15(3), 16–22. https://doi.org/10.1109/MWC.2008.4547518

Mardiana, V. A., Martadinata, M. M., Nurkahfi, G. N., Mitayani, A., Kurniawan, D., Armi, N., Prawara, B., Sudirja, S., Arisal, A., Firmansyah, R. D., Rozie, A. F., Priyo, S., Setiana, S., & Setiarini, A. (2021). SIMONIC: IoT Based Quarantine Monitoring System for Covid-19. Jurnal Elektronika dan Telekomunikasi, 21(2), 112. https://doi.org/10.14203/jet.v21.112-121

Mitola, J. (2000). Cognitive Radio An Integrated Agent Architecture for Software Defined Radio. https://api.semanticscholar.org/CorpusID:61207536

Misra, V., & Gong, W.-B. (1998). A hierarchical model for teletraffic. Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171), 2, 1674–1679 vol.2. https://doi.org/10.1109/CDC.1998.758534Nurelmadina, N., Hasan, M. K., Memon, I., Saeed, R., Zainol Ariffin, K. A., Sayed Ali Ahmed, E., Mokhtar, R., Islam, S., Hossain, E., & Hassan, M. (2021). A Systematic Review on Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications. Sustainability, 13, 338. https://doi.org/10.3390/su13010338

Nurkahfi, G. N., Triwinarko, A., Prawara, B., Armi, N., Juhana, T., Syambas, N. R., Mulyana, E., Dogheche, E., & Dayoub, I. (2024). On SDN to Support the IEEE 802.11 and C-V2X-Based Vehicular Communications Use-Cases and Performance: A Comprehensive Survey. IEEE Access, 12, 95926–95958. https://doi.org/10.1109/ACCESS.2023.3341092

Reegu, F., Zada Khan, W., Mohd Daud, S., Arshad, Q., & Armi, N. (2020). A Reliable Public Safety Framework for Industrial Internet of Things (IIoT). 2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET), 189–193. https://doi.org/10.1109/ICRAMET51080.2020.9298690

Rezwanul Mahmood M. and Matin, M. A. (2020). Current Research Trends on Cognitive Radio Based Internet of Things (IoT). Dalam M. A. Matin (Ed.), Towards Cognitive IoT Networks (hlm. 5–17). Springer International Publishing. https://doi.org/10.1007/978-3-030-42573-9_2

Rizvi, S., Aziz, A., Jilani, M. T., Armi, N., Muhammad, G., & Butt, S. H. (2017). An investigation of energy efficiency in 5G wireless networks. 2017 International Conference on Circuits, System and Simulation (ICCSS), 142–145. https://doi.org/10.1109/CIRSYSSIM.2017.8023199

Sahoo, A., & Souryal, M. (2014, April). Dynamic Spectrum Access: Current State of the Art and Future Challenges. https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=914583

Song, M., Xin, C., Zhao, Y., & Cheng, X. (2012). Dynamic spectrum access: From cognitive radio to network radio. IEEE Wireless Communications, 19(1). https://doi.org/10.1109/MWC.2012.6155873

Talay, A. C., & Altilar, D. T. (2013). Self adaptive routing for dynamic spectrum access in cognitive radio networks. Journal of Network and Computer Applications, 36(4), 1140–1151. https://doi.org/10.1016/J.JNCA.2013.01.007

Wael, C. B. A., Armi, N., Miftahushudur, M. T., Muliawarda, D., & Sugandi, G. (2017). Power allocation in OFDM-based cognitive radio networks for fading channel. Proceeding - 2017 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2017, 2018-Janua. https://doi.org/10.1109/ICRAMET.2017.8253172

Wael, C. B. A., Armi, N., & Rohman, B. P. A. (2017). Spectrum sensing for low SNR environment using maximum-minimum eigenvalue (MME) detection. Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy. https://doi.org/10.1109/ISITIA.2016.7828699

Wael, C. B. A., Armi, N., Rohman, B. P. A., & Miftahushudur, T. (2017). Performance analysis of sub-Nyquist sampling for Wideband spectrum sensing in cognitive radio. Proceeding - 2016 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2016. https://doi.org/10.1109/ICRAMET.2016.7849603

Yin Mingjia and Li, K. and Z. M. (2018). Spectrum Utilization of Cognitive Radio in Industrial Wireless Sensor Networks - A Review. Dalam M. and D. D. and Y. Z. and Y. D. Li Kang and Fei (Ed.), Intelligent Computing and Internet of Things (hlm. 419–428). Springer Singapore.

Yucek, T., & Arslan, H. (2009). A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Communications Surveys & Tutorials, 11(1), 116–130. https://doi.org/10.1109/SURV.2009.090109Zhang, W., Mallik, R. K., & Letaief, K. B. (2008). Cooperative Spectrum Sensing Optimization in Cognitive Radio Networks. 2008 IEEE International Conference on Communications, 3411–3415. https://doi.org/10.1109/ICC.2008.641

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