Interference-aware OFDMA resource allocation: A predictive approach

As wireless systems continue to proliferate, interference management is becoming a concern in both military and commercial domains. This paper introduces a novel cognitive coexistence framework between infrastructure and ad hoc networks. Based on sensing and predicting the ad-hoc networkpsilas activity, the infrastructure system allocates power and transmission time such as to minimize its impact on the ad-hoc links. This leads to an interference-aware resource allocation. A rate-constraint ensures that the infrastructure system maintains a specified quality-of-service, despite adapting its transmission behavior to accommodate ad-hoc users. Based on an ON/OFF continuous-time Markov chain model, the optimal allocation of power and transmission time is formulated as a convex optimization problem. Closed-form solutions are derived as a function of Lagrange multipliers. An iterative algorithm with guaranteed convergence to the optimal solution is developed. Finally, our results are extended to an average-rate formulation. Numerical performance analysis illustrates that utilizing the superior flexibility of the infrastructure links can effectively mitigate interference.

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