Cooperative scheduling for Distributed Antenna Systems

This paper presents a scheduling and link adaptation algorithm for Distributed Antenna Systems (DAS) with Cooperative downlink transmission. The proposed opportunistic scheduler is interference-aware and maximizes the system throughput by controlling the power of the distributed antennas and by optimizing the modulation and coding schemes of each scheduled user. The results show that the proposed algorithm provides considerable throughput gains per resource, more than 200% for high user density. The average number of satisfied users per resource is increased by exploiting user diversity improving the fairness Gini index.

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