π€ AI Summary
This work addresses the challenge of coordinating multiple radio access technologies (RATs) in Beyond 3G heterogeneous wireless systems to meet the quality-of-service (QoS) requirements of multimedia traffic. The paper proposes a unified wireless resource management strategy that, for the first time, applies linear programming to jointly optimize RAT selection and radio resource allocation within a cross-RAT scheduling framework. By formulating a linear objective function, the approach dynamically assigns each user an optimal RAT type and corresponding resource amount, effectively satisfying multimedia QoS constraints while significantly improving overall system resource utilization efficiency.
π Abstract
Beyond 3G wireless systems will be composed of a variety of Radio Access Technologies (RATs) with different, but also complementary, performance and technical characteristics. To exploit such diversity while guaranteeing the interoperability and efficient management of the different RATs, common radio resource management (CRRM) techniques need to be defined. This work proposes and evaluates a CRRM policy that simultaneously assigns to each user an adequate combination of RAT and number of radio resources within such RAT to guarantee its QoS requirements. The proposed CRRM technique is based on linear objective functions and programming tools.