Recently, Machine to Machine/ Internet of things (M2M/IoT) technology is chosen as a main paradigm of future telecommunication, study of Wireless Body Area Network (WBAN) is recently has been concentrated. It support data rate of several kbps within 3m around the body. The WBAN system has 3 types of communication standards, which are Human Body Communication (HBC), Narrowband communication, Ult...

This article focuses on register assignment problems for heterogeneous register-set VLIW-DSP architectures. It is assumed that an instruction schedule has already been generated. The register assignment problem is equivalent to the well-known coloring of an interference graph. Typically, machine-related constraints are mapped onto the structure of the interference graph. Thereby favorable chara...

Machine-to-Machine (M2M) communication is a recently developed technology in data communication network which extends to indoor coverage for serving smart grid and intelligent grid network. Synchronization is one of the most significant technical challenges in M2M networks to guarantee an acceptable clock offset and frequency error (skew), which leads to severe interference between machines, wh...

Interference is a troublesome issue that affects the throughput performance of Wi-Fi networks. Therefore it becomes crucial to estimate the interference between nodes and links of a wireless network. This approach includes passive monitoring of traffic which consists of placing multiple sniffers near network nodes to capture the wireless traffic. This traffic is analyzed to conclude about the c...

In real-world environments, speech often occurs simultaneously with acoustic interference, such as background noise or reverberation. The interference usually leads to adverse effects on speech perception, and results in performance degradation in many speech applications, including automatic speech recognition and speaker identification. Monaural speech separation and processing aim to separat...

We study a distributed machine learning problem carried out by an edge server and multiple agents in wireless network. The objective is to minimize global function that sum of the agents’ local loss functions. And optimization conducted analog over-the-air model training. Specifically, each agent modulates its gradient onto set waveforms transmits simultaneously. From received signal ext...