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In the next future, wireless communication systems will move towards the achievement of high transmission rates for both fixed and mobile users. The main topics of this thesis are the investigation of adaptive radio resource allocation strategies in the presence of a finite number of modulation and coding profiles and the evaluation of their impact on the interference distribution in a multi-user/multi-cellular wireless network based on Orthogonal Frequency Division Multiplexing Access (OFDMA). These kinds of allocation procedures are based on the assumption of having a perfect knowledge of the Channel State Indicator (CSI) and they involve many degrees of freedom (i.e. frequency, time, space, modulation, coding and power). Each allocation algorithm could be based on many different strategies according to the required Quality of Service (QoS), fairness and complexity criteria.

Radio Resource Management for New Generation Wireless Networks: Smart Allocation Techniques and Interference Evaluation