Internship proposal
Cross-Layer (MAC/PHY) optimization (Resource Allocation) in MIMO OFDM Cooperative Networks
Context and object:
The future wireless network is expected to support very high data rates in the range of 100 Mbps -1 Gbps over a wireless channel. However, due to high data rate a transmission power becomes prohibitively large. Consequently, new network architectures must be considered to reduce the power requirement by shortening the transmission range between source and destination. One of the solutions is relay assisted communication.
Cooperative relay networking scheme provides spatial diversity gain (named cooperative diversity gain) using the antennas of spatially distributed users to form a multi antenna transmit situation. We focus our interest on WiMAX network standard. Orthogonal frequency division multiplexing (OFDM) technique has been adopted as a broadband air interface in WiMAX standard due to its robustness against multipath fading and high capacity. A variety of algorithms for OFDM networks have been developed to achieve cooperative diversity gain, reduce multi-user interference (e.g., adaptive beamforming), improve channel and network capacity, etc.
Recently, a cross-layer optimization is designed to enhance the performance of higher layers. Most of the work in this area is based on the assumption of ideal physical layer access scenario, however. In this work, we intend to design an enhanced cross-layer optimization approach considering practical physical layer access layer (e.g., imperfect channel state information, non-ideal feedback in ARQ).
We also target to developing a computer simulation environment for our approach and discussing the impact of our approach on the performance (e.g., throughput) of higher layers (i.e., medium access and network layers).
In our recent work, we conducted a first phase towards the design of such cross-layer resource allocation system for MIMO-OFDM cooperative networks. A first model of the MIMO-OFDM cooperative PHY layer had been designed for the case of imperfect channel state information. Our objective now is to go further and use this model to formulate a broader solution for resource management in such context. More precisely, an optimization problem (i.e. definition of cost function) aiming at enhancing resource allocation in MIMO OFDM Cooperative Networks using cross- layer interactions (MAC/PHY). This Cross-Layer (MAC/PHY) optimization (Resource Allocation) in MIMO OFDM Cooperative Networks can be decomposed into the following phases:
- Formulate the optimization problem at PHY using higher layers - Formulate the optimization problem at MAC using PHY layer - Joint PHY/MAC optimization problem for Resource Allocation
Keywords: resource management, MAC/PHY Layer, cross-layer, optimization, MIMO, OFDM, Cooperative Relaying, Analytical Modeling.
Location:
The internship will take place either at ENSIIE (www.ensiie.fr) or Tohoku University (http://www.mobile.ecei.tohoku.ac.jp/) premises. In the case where the intern decides to be at ENSIIE, there will also be a possibility to visit the Tohoku University for a period of one to two months.
Funding Availability:
Yes.
Duration:
4 to 6 months.
Contact:
Dr. Yacine Ghamri-Doudane,
Associate Professor @ ENSIIE (www.ensiie.fr)
Researcher @ PASNet Group of the LIGM (UMR CNRS 8049) Lab. (http://igm.univ-mlv.fr/PASNet/) Email: [email protected] or [email protected]
Dr. Haris Gacanin Assistant Professor
Wireless Signal Processing and Networking Lab. (http://www.mobile.ecei.tohoku.ac.jp/adachi-e/) Electrical and Communication Engineering, Graduate School of Engineering,
Tohoku University
Email: [email protected]
