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One of the major challenges in Dynamic Spectrum Access (DSA) systems is toguarantee a required level of Quality of Service (QoS) to secondary users ofthe spectrum. In this paper, we propose efficient algorithms for derivingoptimal policies for the sensing / transmitting trade-off inhardware-constrained DSA systems. Unlike previous approaches which seek tomaximize mean data rate for the secondary users, the proposed algorithms derivepolicies which minimize the probability of excessive queuing delays. LargeDeviations (LD) asymptotics are used to approximate the probability of interestand policies maximizing the associated LD exponent are proposed. Althoughdynamic programming is not able to identify the optimal policy in this case,much more efficient algorithms than exhaustive search are proposed. Thesealgorithms are based on specific properties of the optimal policy which aredescribed and proven in this paper.

Optimizing Access Mechanisms for QoS Provisioning in Hardware Constrained Dynamic Spectrum Access