Research Internships in Progress


Institute for Digital Communications proposes the students to join for research internship. The focus of the research could be experimental, theoretical or implementation projects. Combinations of different focal points are also possible. A research internship is possible in many master degree programs. Many of our offered master theses can be carried out as a research internship.

If interested in relevant subjects, please contact.

Projects:

  • Achievable Rate Region of the Bidirectional Full-Duplex Channel (ongoing)

    Giuseppe Rindone

The proposal can be found here.

  • Drone-Based Communication Using FSO Backbone (ongoing)

Hedieh Ajam, since 01.07.2016

The proposal can be found here.

  • Interference Alignment for SC-FDMA Systems with Widely Linear Filtering (ongoing)

Mohamed Soliman, since 11.2016

In expectation of a growing interference level in cellular systems in the near future, elaborate interference management techniques are necessary in addition to the traditional interference avoidance approaches employed so far. A first step has been done when Coordinated Multi-Point (CoMP) transmission was introduced in the 4G LTE-A standard, allowing an exchange of information between base stations from neighbouring cells. For the network of the next generation, CoMP will additionally embrace most likely centralized processing and distributed cooperation. This new architecture gives way to more advanced cooperation techniques such as interference alignment. Interference alignment is a technique that recently has attracted attention due to its capability to theoretically increase the sum rate of a network without any bound. This is realized by jointly designing precoding filters for the transmitters such that the interference falls into a reserved subspace at the receiver while leaving the remaining subspace interference-free for the desired user. Although theory shows that a complete and perfect alignment is possible, under real conditions residual interference still will be present due to a low signal-to-noise ratio and a limited number of signaling dimensions. Task of the research internship is to investigate widely linear (WL) filtering at the transmitter and the receiver side to overcome the issue associated with limited number of signaling dimensions. For WL filtering the imaginary and the real part of the filter input are processed seperately and subsequently combined linearly. When additionally applying real-valued transmit symbols, a WL system model results wich has doubled dimensions. This translates into more degrees of freedom for the filter design. As the joint optimization over precoding, receive matrices of the users implies an exhaustive search, a suboptimal approach will be examined. The transceiver design is conducted for the 4G formats single-carrier frequencydivision multiple access (SC-FDMA).

  • Demonstration of Novel Applications of Convex Optimization in Communications and Signal Processing (ongoing)

Andreas Feder, since 01.09.2017

Over the last decade, convex optimization methods have received significant interest in communications and signal processing.Numerous schemes based on convex optimization algorithms have been designed for signal detection, beamforming filter design,channel equalization, resource allocation, classification in machine learning, regression and smoothing, etc. One goal of this research internship is to identify interesting recent novel contributions in the literature on applications of convex optimization to communications and signal processing and provide a summary of some promising schemes. Afterwards, a software based demo of some schemes will be established, highlighting the benefits of convex optimization for practical applications. For example, some wireless information and power transmission scheme might be designed via convex optimization, and the corresponding performance might be simulated and compared  to some benchmarks schemes.