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Performance of Channel Estimation Technique in MIMO-OFDM System Using mPSK Modulation Musayyanah .; Yoedy Moegiharto; I Gede Puja Astawa
EMITTER International Journal of Engineering Technology Vol 1 No 1 (2013)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v1i1.2

Abstract

Multicarrier modulation technique as Orthogonal Frequency Division Multiplexing (OFDM) is able to vanishIntersymbol Interferences (ISI) caused by multipathchannel. Merging with multi- antenna transmission techniques such asMIMO become MIMO- OFDM system is able to improve (data rate transmission)the transmission of data and capacity of the system. Pilot channel estimation technique with the algorithm Linear Minimum Mean Square Error (LMMSE) with modulation m-PSK is applied in this study. The results obtained in the form of graphs BER against EbNo which shows that the system performance with LMMSEestimator has a different gain for QPSKmodulation better about 0.75 dB, for 8 PSKmodulation is about 1.5 dB and for 16 PSKmodulation around 1 dB compare to LS estimator. Number of the largest antenna both in the transmitter and receiver produce the best system performance. Observation for QPSKmodulation shows a scheme transmitter- receiver antenna 4x2 having gain approximately 9 dB better than the number of the lowest transmitter antenna(1x2). For scheme 4x4 shows gain around 8,5 dB than the number of the lowest receiver antenna.Keywords:MIMO, OFDM,LS, LMMSE, MPSK.
Evaluasi Penerapan Algoritma Neural Network Sebagai Teknik Reduksi PAPR Pada Sistem OFDM Mohamad Ridwan; Melki Mario Gulo; Yoedy Moegiharto; arifin arifin; Muhammad Milchan
Jurnal Inovtek Polbeng Seri Informatika Vol 6, No 1 (2021)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/isi.v6i1.1934

Abstract

Pada makalah ini dilakukan evaluasi kinerja algoritma Neural Network sebagai teknik reduksi sistem OFDM.  Hasil simulasi untuk sinyal OFDM dengan jumlah subcarrier sebanyak 64 dan modulasi 16 QAM menunjukkan penerapan algorima NN menghasilkan penurunan nilai PAPR sekitar 5,6 dB dari PAPR sinyal OFDM tanpa reduksi. Juga dibandingkan dengan teknik reduksi PAPR metode Iterative Clipping and Filtering, (ICF), Selective Mapping (SLM) dan Partial Transmit Sequence (PTS). Dari kurva CCDF juga ditunjukkan bahwa metode NN menghasilkan kinerja yang lebih baik dibanding metode digabungkan dengan teknik Iterative Clipping and Filtering, (ICF), Selective Mapping (SLM) dan Partial Transmit Sequence (PTS). Evaluasi di sisi penerima dengan pengamatan nilai bit error rate, penerapan algoritma NN memiliki kinerja yang terbaik
Kinerja Konvolusi pada Sistem Amplify and Forward dengan Predistorsi dan Seleksi Relai Annisa Anggun Puspitasari; Mareta Dwi Nor Habibah; Ziyadatus Shofiyah; Ida Anisah; Yoedy Moegiharto
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 1: Februari 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1675.243 KB) | DOI: 10.22146/jnteti.v11i1.2386

Abstract

This paper evaluated the performance of the convolutional coding technique in a cooperative communication system using the amplify-and-forward (AF) protocol and applying a relay selection strategy by simulation. At the transmitter (source) side, a joint of peak average power ratio (PAPR) reduction techniques with selective mapping (SLM) schemes and the Hammerstein predistortion model was applied. The predistortion technique with the Rapp inverse model was applied at the relay. On the channel side, the relays were used as a virtual antenna, where relay usage in cooperative communication systems can be implemented for 4G or 5G networks in future research, even though it requires large bandwidth. Implementing the relay selection strategy can increase bandwidth efficiency because only the best relay will forward information from source to destination. The conventional relay selection strategy was used to evaluate the performance of the convolution coding in a multi-relay scheme by choosing the best relay considering the signal-to-noise ratio (SNR) value on the source to relay and relay to the destination channel. Only the best relay will forward the signal from source to destination using the AF protocol. System performance is expressed in bit error rate (BER) probability. The simulation results showed that the convolutional coding technique could improve system performance up to 16.59% with or without predistortion techniques. Then, the predistortion technique applied on the source and relay side generated the best performance, where the system performance could increase up to 34%. In addition, the implementation of the conventional relay selection strategy showed that the scheme with the most relays, which was six relays, could produce the best performance due to the increasing number of available paths.
Performance Analysis Of The Energy Harvesting Techniques In Cooperative Communication Systems of NBIoT Devices With Amplify And Forward (AF) Relaying Protocol Ines Sastre Umayya; Muhamad Milchan; Hendy Briantoro; Yoedy Moegiharto
Elinvo (Electronics, Informatics, and Vocational Education) Vol 7, No 2 (2022): November 2022
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (838.311 KB) | DOI: 10.21831/elinvo.v7i2.50810

Abstract

This study examines the system’s performance with implementation of the energy harvesting (EH) techniques at source node, S and relay node, R. The RF signals which are used to energy harvesting proccess are broadcasted by destination node, D. The information signals from S are sent to D via a R in a cooperative communication framework. The R uses the amplify and forward (AF) protocol to forward the received signal from S to D. We propose a network system which contain of three femto cells, and an access point of each femto cells work as a relay (R), in a macro cell with a base station or eNB as a destination (D). To find the  best R for forwarding the information signal from S to D, we choose the partial relai selection strategy.   From the simulation results can be shown that the throughput system and the outage probability system are affected by the location of S or the distance of between S-R and S-D. Also affected by the access point power of femto cell that is connected to electric source, and  time swithing factor, ρ which is used to harvest energy at S and R nodes. The shorter distance of between S-R and S-D results a better value of  throughput system and the outage probability system, since the gain channel value will be high and increases the SNR value at D. More bigger the power from battery of access point femto cell that is used together with the harvested power by R to forward the signal will result a better value of  throughput system and the outage probability system. More smaller time swithing factor, ρ results more time period for transmitting signal by S and forwarding sinyal by R, therefore increases the transmit power at S and R. Increasing the transmit powers result the increasin SNR value at D, and result a better value of  throughput system and the outage probability system. 
The Joint Channel Coding and Pre-Distortion Technique on the USRP-Based MIMO-OFDM System Melki Mario Gulo; I Gede Puja Astawa; Arifin; Yoedy Moegiharto; Hendy Briantoro
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 4 (2023): August 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i4.5093

Abstract

Modern wireless communication systems use orthogonal frequency division multiplexing (OFDM), a multi-carrier modulation method that resists multipath channels and provides bandwidth efficiency. OFDM is generally used with a Multiple-Input Multiple-Output (MIMO) system to boost diversity gain and channel capacity. MIMO-OFDM has several advantages, but its high PAPR value is a drawback. A non-linear high-power amplifier (HPA) can distort signals with high PAPR values. This issue can be resolved by employing predistortion, which compensates for nonlinear HPA. In addition to PD, channel coding can be used to improve the quality of systems with high PAPR values by adding redundant bits to the bits to be sent. In this paper, we report the experimental evaluations of the joint channel coding and pre-distortion (PD) technique on a 2x2 MIMO OFDM system using USRP hardware. The experiments are conducted in two scenarios: line-of-sight (LOS) and nonline-of-sight (NLOS) scenarios. The channel coding used in this scenario is convolutional code with code rates of 1/2, 2/3, and 3/4. From the results of the experiment, it can be seen that the system that uses PD combined with the convolution code produces better performance in the LOS and NLOS scenarios compared to the system without PD. In the LOS scenario, the use of PD can improve the SNR value of code rates 1/2, 2/3, and 3/4 by approximately 58.74%, 75.97%, and 96.20%. In the NLOS scenario, the use of PD can improve the SNR value of code rates 1/2, 2/3, and 3/4 by about 60.71%, 73.59%, and 71.84%. The measurement of the LOS scenario gives a better SNR value than the NLOS scenario, with a maximum SNR value of 30.86 dB, while the maximum SNR value of the NLOS scenario is 30.23 dB. This happened because the LOS scenario suffered minimal multipath fading compared to the NLOS scenario
Evaluations of the Predistortion Technique by Neural Network Algorithm in MIMO-OFDM System Using USRP M Wisnu Gunawan; Naufal Ammar Priambodo; Melki Mario Gulo; Arifin Arifin; Yoedy Moegiharto; Hendy Briantoro
JURNAL INFOTEL Vol 14 No 4 (2022): November 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i4.825

Abstract

MIMO OFDM is the key technology of 4G network system. MIMO-OFDM system enhances the spectrum efficiency and increases the capacity of the system. The implementation of USRP hardware to MIMO OFDM system has been attracted some researchers to conduct the experiments. So we conduct the experiments in a MIMO OFDM system that applies the predistortion technique. In this experiment, we evaluate performances of the predistortion technique by using the artificial neural network. USRP 2920 hardware which is supported by LabVIEW and Phyton software are used in this experiment. OFDM system uses 128 subcarriers to produce an OFDM symbol, and MIMO system uses 2 antennas at transmitter and receiver side. And no obstacles between Tx and Rx, or line of sight transmission scenarios. The performances of the predistortion technique using the artificial neural network algorithm are shown in symbol constellations or Error Vector Magnitude (EVM) at the receiver. And the texts or characters are used as the input of the system. From the experiment results can be seen that the distance between Tx and Rx affects the Error Vector Magnitude (EVM) and predistortion technique produces the Error vector magnitude (EVM) improvement. More shorter the distance between Tx and Rx can decrease distortions of the received signal, At the transmitter side, the performance of predistortion technique is shown as the linearization improvement of the non-linearity power amplifier. Therefore more wider the linear region of power amplifier results the decreasing in band distortion of transmitted signal, and can be seen as the Error Vector Magnitude (EVM) improvement.
IMPLEMENTASI SISTEM MONITORING PENAMPUNG AIR BERBASIS TELEGRAM DAN NODEMCU DI SEKTOR INDUSTRI UMKM Mohamad Ridwan; Ari Wijayanti; Djoko Santoso; Rahardhita Widyatra Sudibyo; Arifin Arifin; Hari Wahjuningrat Suparno; Nur Adi Siswandari; Anang Budikarso; Okkie Puspitorini; Yoedy Moegiharto; Rini Satiti; Moga Kurniajaya; Karimatun Nisa; Paramita Eka Wahyu Lestari; Via Alviana; Achmad Hildan Syahputra; Rahmadani Najwa Alfriza; Muhammad Luqmanul Chakim
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol 5, No 1 (2023): BUDIMAS : VOL. 5, NO.1, 2023
Publisher : LPPM ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/budimas.v5i1.6583

Abstract

Pada zaman serba digital seperti saat ini, manusia mulai mengembangkan berbagai teknologi untuk memudahkan pekerjaan di segala bidang. Salah satu bidang yang membutuhkan inovasi akan perkembangan teknologi adalah bidang industri. Sektor industri yang masih belum menerapkan kemajuan teknologi terdapat pada industri UMKM (Usaha Mikro, Kecil, dan Menengah). Penerapan teknologi pada UMKM dapat digunakan untuk melakukan monitoring proses produksi agar dapat berjalan dengan baik. Pada pengabdian masyarakat ini akan dibuat alat untuk Implementasi Sistem Kontrol Penampung Air Berbasis Telegram dan NodeMCU. Alat tersebut menggunakan mikrokontroler NodeMCU ESP8266 yang di program menggunakan Bahasa C pada Arduino IDE dengan monitoring melalui Platform Thinger.io dan aplikasi Telegram. Sensor suhu, sensor ultrasonic, dan sensor turbidity akan mendeteksi air yang berasal dari sumber air secara real time dan akan mengirimkan data ke Thinger.io Cloud, lalu data akan dikirimkan ke Telegram. Terdapat 3 buah parameter yang akan dimonitoring yakni level air, suhu dan kekeruhan. Output dari alat tersebut juga akan ditampilkan pada LCD (Liquid Crystal Display) yang terpasang pada bak penampungan air.
Pengembangan dan Penyuluhan Sistem Pemantau Kelembaban dan pH Tanah Tanaman Padi untuk Petani Desa Sambit Nailul Muna; Haryadi Amran Darwito; Titon Dutono; Arifin Arifin; Nanang Syahroni; Yoedy Moegiharto; Hari Wahjuningrat Suparno; Paramita Eka Wahyu Lestari
Society : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol. 5 No. 1 (2024): Vol.5 No.1, October 2024 (Online First)
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/society.v5i1.709

Abstract

Pertanian telah memberikan kontribusi signifikan dalam pertumbuhan ekonomi dan peningkatan pendapatan masyarakat. Namun, perubahan iklim yang ekstrem berdampak pada tingkat kelembaban dan pH tanah, sehingga mempengaruhi produktivitas tanaman padi. Saat ini, petani di Desa Sambit, Kabupaten Ponorogo, Jawa Timur, menghadapi kendala dalam memantau kelembaban dan pH tanah secara efektif. Hal ini mengakibatkan kesulitan bagi petani dalam menyesuaikan penyiraman dan pemberian pupuk sesuai dengan kebutuhan tanaman padi. Berdasarkan permasalahan tersebut, kami bertujuan untuk meningkatkan keterampilan petani dalam mengelola kondisi tanah dengan lebih efektif melalui pengembangan sistem yang memantau kelembaban dan pH tanah secara real-time. Metode  kegiatan  ini  berupa pengembangan dan penyuluhan yang dilakukan melalui beberapa tahapan yang diawali dengan perencanaan yang meliputi wawancara dan survei. Kedua, pembuatan sistem pemantau kelembaban dan pH yang terintegrasi dengan platform Blynk untuk memantau hasil sensor secara real-time. Ketiga, implementasi sistem di lapangan dan terakhir tahap penyuluhan yang mencakup aspek teoritis dan praktis. Hasil dari kegiatan ini yaitu adanya sistem yang dapat membantu petani dalam memantau kelembaban dan pH secara otomatis dan real-time serta kemauan para petani dalam memodernisasi teknologi pertanian untuk mencapai pertanian yang berkelanjutan. Tindak lanjut dari kegiatan ini adalah memonitor respons petani terhadap sistem yang dikembangkan serta memberikan dukungan teknis yang diperlukan agar penggunaan sistem dapat optimal dan berkelanjutan dalam jangka panjang.