This paper describes the real-time testbed that has been developed in the framework of the European AROMA project. The objective of the AROMA project is to devise and assess a set of specific resource management strategies and algorithms for both the access and core network parts of an all-IP heterogeneous wireless access network that guarantee the end-to-edge quality of service. The complexity of the interaction between Beyond 3G systems and user applications, while dealing with the quality of service concept, motivates the development of this kind of emulation platforms, where algorithms and applications can be tested in realistic conditions that could not be achieved by means of offline simulations.
-The primary objective of cooperation in Cognitive Radio (CR) networks is to increase the efficiency and improve the network performance. However, CR users may act destructively and decrease both their own and others' performances. This can be due to Byzantine adversaries or unintentional erroneous conduct in cooperation. This work presents an autonomous cooperation solution for each CR user, i.e., each CR user decides with whom to cooperate. The objective of the proposed solution is to increase the spectrum access in cooperative CR networks. To realize this, a Reinforcement Learning (RL) algorithm is utilized to determine the suitability of the available cooperators and select the appropriate set of cooperators. In addition, the proposed solution determines the most appropriate number of cooperators to achieve the highest efficiency for spectrum access. Accordingly, the control communication overhead is reduced. The simulation results demonstrate the learning capabilities of the proposed to achieve reliable behavior under highly unreliable conditions.
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