The aim of the project is to provide a better understanding of multiuser coordinated multiple-input-multiple-output (MIMO) capacity enhancement in the fourth (and future) generation(s) of wireless systems. In fact, the realistic capacity estimation using spatial multiplexing and beamforming MIMO is of great interest, since it represents the enabling technology to achieve the new 4G 5 bit/s/Hz spectral efficiency requirement.
MIMO links can offer a so called spatial multiplexing gain by opening parallel spatial data pipes or channels within the same frequency band. This is achieved by the creation of orthogonal information channels mostly in the presence of rich multipath leading to antenna decorrelation.
In these conditions, MIMO links offer capacity gains (relatively to SISO) that are proportional to the minimum of either the number of TX and RX antennas. As a matter of fact, a key feature of MIMO is to turn multipath propagation, traditionally a pitfall of wireless systems into a benefit for the user. MIMO takes advantage of random fading, for increasing transfer rates.
The proposed work in the project will cross the fields of research of mobility and channel modeling, information theory and practical systems and applications. Firstly, directional channel modeling will be developed in order to simulate the MIMO channel.
Secondly, information theory and eigenanalysis based on MIMO spatial multiplexing and beamforming will be used, together with the use of uniform and power efficient allocation methods. Optimized MIMO antenna configurations will be set, in order to boost up cell capacity.
Then, the gains of using coordination methods in multiuser scenarios will be considered with applications examples and system performance evaluations over LTE (and LTE Advanced) and mobile WiMAX 802.16 family of standards radio interfaces.
This evaluation will be done considering radio advanced resource management techniques such as improved admission control, power control and scheduling techniques.