Muhammad Haikal Satria

Energy detection sensing based on GNU radio and USRP: An analysis study

Cognitive radio wireless networks are an emerging communication paradigm to effectively address spectrum scarcity challenge. Spectrum sensing plays a paramount role in cognitive radio, which is widely agreed to be the most promising method for alleviating the symptom of RF spectral scarcity. Dynamic access of unused spectrum via a cognitive radio asks for flexible radio circuits that can work at an arbitrary radio frequency. In this paper, we analyze the performance of spectrum sensing on GNU Radio system with USRP. We investigating spectrum scarcity and proposed the algorithm that performed and measuring the energy of Rx signal in a fixed bandwidth, W, over an observation time window, T. The results presented that it can detected of primary user signal over the fixed bandwidth which occupied the spectrum.

Wireless Medical Interface Using ZigBee and Bluetooth Technology

Since years, the using of telemedicine has increased although there are some technical issues related to standard and quality. In order to improve the telemedicine quality of service, a robust wireless connection between medical devices and telecommunication network is required. Unfortunately, many medical devices were developed without possibility to connect with telecommunication infrastructure. Due to this condition, a wireless medical interface has been developed. The interface has been implemented based on the advantages of ZigBee and Bluetooth technology. A new protocol has also been developed to enable robust communication between medical devices and telecommunication infrastructure. The interface has been tested to transfer the medical data from vital sign medical devices to a data processing system through wireless network. Measurement result shows that the interface is able to be used in transferring medical data from multi medical devices within range of 10 m with some interference sources.

Adaptive network selection mechanism for telecardiology system in developing countries

Inadequate telecommunication infrastructure is one of the main reason of drawback on telecardiology implementation in developing countries. A new network selection algorithm is proposed to overcome this problem by providing adaptive heterogeneous networks. The proposed algorithm finds the most suitable wireless network according to users health condition and service requirements. This algorithm adaptively adjusts the user bandwidth requirement by deactivating the lowest priority service level. The priority deactivation will provide sufficient bandwidth to support the higher priority service level when the best network has limited capacity. Simulation results show that the proposed algorithm improves the quality of services, cost effective and adaptive to the best networks. It outperforms conventional bandwidth based handover algorithm for telecardiology application.

New Vertical Handover Method to Optimize Utilization of Wireless Local Area Network in High-Speed Environment

In heterogeneous wireless networks, wireless local area network (WLAN) is highly preferred by mobile terminals (MTs) owing to its high transmission bandwidth and low access cost. However, in high-speed environment, handover from a cellular network to a WLAN cell will lead to a high number of handover failures and unnecessary handovers due to the WLAN coverage limitation and will become worse at high speed. A new vertical handover method is proposed to minimize the probability of handover failure and unnecessary handover while maximizing the usage of WLAN in high-speed environment. The simulation results show that the proposed method kept the probability of handover failure and unnecessary handover below 0.5% and 1%, respectively. Compared with previous studies, the proposed method reduced the number of handover failures and unnecessary handovers up to 80.0% and 97.7%, respectively, while the MT is highly mobile. Using the proposed prediction method, the MT can benefit high bandwidth and low network access cost from the WLAN with minimum interruption regardless of speed.