Low-complexity and low-feedback-rate channel allocation for carrier aggregation in heterogeneous networks

In this paper a novel low complexity scheme that achieves also reduced feedback overhead is studied for reporting the channel state information in Carrier aggregation MIMO systems. Such systems usually involve a large number of carriers and users, so the calculation and reporting of the required RI/PMI/CQI indexes could result in high computational complexity and feedback overhead. Given that the user scheduling and rate is based on these reported values, efficient computation and feedback schemes are crucial for achieving performances that can accommodate the wireless systems requirements. To that end, at first we propose a novel scheme for the RI/PMI/CQI calculation that exploits the adjacent channels correlation in order to reduce the complexity. Then, a novel distributed scheduling scheme is proposed based on a stable matching approach that requires reduced feedback information. The performance of the proposed approach is evaluated by indicative simulations.