The Advanced Wireless Communication Laboratory specializes in conducting research in the broad area of wireless communications, with a focus on signal processing within the physical layer. The primary research activities include:

• Signal Processing for Wireless Communication Systems
• Cognitive Radio/Dynamic Resource Allocation
• Full-Duplex Radio/Hardware-Based Modeling and Signal Processing Techniques
• Software Radio/USRP Experimental Implementation
• Hybrid Beamforming for mmWave Communication
• OFDM/OTFS System for Joint Radar and Communication System
• MIMO OFDM System – Channel Estimation and Decoding
• Radar Signal Processing
   

This lab is equipped with state-of-the-art equipment and development tools designed for real-time signal processing and communication. The lab's comprehensive setup enables advanced research and development, fostering innovations that push the boundaries of current wireless communication technology.

• Universal Software Radio Peripheral Transceivers (USRP N210) (Carrier frequency up to 6GHz and bandwidth of 20 MHz)
• Daughter Cards (UBX 40, LFTX (DC-30MHz), LFRX (DC-30MHz))
• OCTOCLOCK-G (8-channel clock distribution module)
• GPS Antenna
• VERT400 Antenna (144MHz, 400MHz, 1200MHz)
• Log Periodic Antenna (400MHz-1GHz, 850 MHz-6.5GHz)
• ADALM PLUTO Analog Device SDR (325MHz-3.8GHz)
• PXB Baseband Generator and Channel Emulator N5106A
• EXA Spectrum Analyzer (26.5GHz)
• MXG Vector Signal Generator (6GHz)
• RF Development Tool-AD9364 Software Development Board (AD-FMCOMMS4-EBZ)
• Xilinx Zynq-7000 All Programmable ZC706 Evaluation SoC
   

Existing Software Tools:

• Matlab Software
• Agilent SystemVue Software
• Agilent VSA Software
   

Major Objectives/Outcomes of the Lab:

The Advanced Wireless Communication Laboratory specializes in cutting-edge research in wireless communications, emphasizing signal processing within the physical layer. Its primary research activities span several critical areas, including Signal Processing for Wireless Communication Systems, which focuses on enhancing the efficiency and performance of wireless networks. The lab also explores Cognitive Radio and Dynamic Resource Allocation, which aim to optimize the use of available spectrum. Additionally, the team works on Full-Duplex Radio and Hardware-Based Modeling and Signal Processing Techniques, seeking to enable simultaneous transmission and reception on the same frequency. Software Radio and USRP Experimental Implementation are also key areas of focus, facilitating flexible and reconfigurable communication systems. The lab's research in Hybrid Beamforming for mmWave Communication aims to improve high-frequency communication capabilities, while their work on OFDM/OTFS Systems seeks to integrate radar and communication functions. Furthermore, the lab delves into MIMO OFDM Systems, focusing on Channel Estimation and Decoding, and advances in Radar Signal Processing to enhance the accuracy and reliability of radar systems.