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Abstract. In this paper, radio resource allocation and users to access networks assignment in heterogeneous wireless networks is studied. Mobile terminals are assumed to have the capability of using multiple radio access technologies simultaneously. A joint optimization problem is formulated, which guarantees services for terminals and maximizes the sum utility of all base stations/access points. Our model applies to arbitrary heterogeneous scenarios where the air interfaces belong to the class of interference limited systems like CDMA-based UMTS or to a class with orthogonal resource assignment such as TDMA-based GSM, WLAN or OFDMA-based LTE. Dual decomposition is employed to solve this optimization problem and a distributed iterative algorithm is developed. Simulation results demonstrate the validity of the proposed algorithm.

In this paper, we exploit the uplink radio resource allocation considering proportional fairness among users in heterogeneous wireless networks. Meanwhile, multi-mode user terminals are assumed to have the capability of using multiple radio access technologies simultaneously. To this end, a joint optimization problem is formulated for power and bandwidth allocation for uplink transmission. Since the formulated primal problem is difficult to solve directly, we make continuous relaxation and obtain a near-optimal solution using Karush-Kuhn-Tucker conditions, and then propose a joint resource allocation algorithm. Simulation results show the proposed algorithm work, and the algorithm provides superior system throughput and much better fairness among users comparing to a heuristic algorith

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