Interference Management with Dynamic Resource Allocation Method on Ultra-Dense Networks in Femto-Macrocellular Network

Ultra-Dense Network (UDN) which is formed from femtocells densely deployed is known as one of key technologies for 5th generation (5G) cellular networks. UDN promises for increased capacity and quality of cellular networks. However, UDN faces more complex interference problems than rarely deployed femtocells, worse on femtocells that are located on cell edge area of macrocell. Therefore, mitigating or reducing effects of interferences is an important issue in UDN. This paper focuses on interference management using dynamic resource allocation for UDN. Types of interference considered in this study are cross-tier (macrocell-to-femtocell) and co-tier (femtocellto-femtocell) interferences for uplink transmission. We consider several scenarios to examine the dynamic resource allocation method for UDN in case of femtocells deployed in the whole area of microcell and in the cell edge area of macrocell. Simulation experiment using MATLAB program has been carried out. The performance parameters that are collected from the simulation are Signal to Interference and Noise Ratio (SINR), throughput, and Bit Error Rate (BER). The obtained simulation results show that system using dynamic resource allocation method outperforms conventional system and the results were consistent for the collected performance parameters. The dynamic resource allocation promises to reduce the effects of interference in UDN

Signal Analysis of Remote Control (RC) UAV Used Software Defined Radio (SDR) HackRF One

UAV (Unmanned Aerial Vehicle) is the unmanned aircraft which is controlled by Remote Control (RC) when flying. The operation of the UAV needs to be regulated to maintain air traffic security, one of which is by taking over the UAV. This study discussed the FSK modulation and demodulation mechanism in the process of taking over the UAV with HackRF One. The transfer mechanism of the UAV that done is to look for the RC frequency, channels, record the RC signals, determine the period and frequency carriers, and modelling the modulation and demodulation of FSK with Simulink. One parameter that is set in the process of this mechanism is to change the value of the different carrier frequencies. Then, the data obtained from the signal sent modulated results are the same as when the demodulated signal. Of  T0= 79 μsandT1= 70 μs, so that fc0= 12658,22 Hz and fc1= 14285,71 Hz. To determine the size of the signal quality, it is necessary to determine the Bit Error Rate (BER) value. In this research, the obtained the BER values depend on the change of the energy value of Bit per Noise (Eb / No). When the Eb/No value is 10 (dB), then the BER is 0.038. Moreover, when the Eb/No value are 8 and 6 (dB), then the BER will be 0.078 and 0.23 respectively. It can be concluded that the greater Eb/No, the lower of BER.Keywords: UAV, Remote Control (RC), FSK Modulation, Simulink, HackRF One

Signal Analysis of Remote Control (RC) UAV Used Software Defined Radio (SDR) HackRF One

UAV (Unmanned Aerial Vehicle) is the unmanned aircraft which is controlled by Remote Control (RC) when flying. The operation of the UAV needs to be regulated to maintain air traffic security, one of which is by taking over the UAV. This study discussed the FSK modulation and demodulation mechanism in the process of taking over the UAV with HackRF One. The transfer mechanism of the UAV that done is to look for the RC frequency, channels, record the RC signals, determine the period and frequency carriers, and modelling the modulation and demodulation of FSK with Simulink. One parameter that is set in the process of this mechanism is to change the value of the different carrier frequencies. Then, the data obtained from the signal sent modulated results are the same as when the demodulated signal. Of  T0= 79 μsandT1= 70 μs, so that fc0= 12658,22 Hz and fc1= 14285,71 Hz. To determine the size of the signal quality, it is necessary to determine the Bit Error Rate (BER) value. In this research, the obtained the BER values depend on the change of the energy value of Bit per Noise (Eb / No). When the Eb/No value is 10 (dB), then the BER is 0.038. Moreover, when the Eb/No value are 8 and 6 (dB), then the BER will be 0.078 and 0.23 respectively. It can be concluded that the greater Eb/No, the lower of BER.Keywords: UAV, Remote Control (RC), FSK Modulation, Simulink, HackRF One