Common Radio Resource Management Policy for Multimedia Traffic in Beyond 3G Heterogeneous Wireless Systems

Jul 16, 2026

Upload by Patrick

Beyond 3G wireless systems rely on multiple heterogeneous Radio Access Technologies (RATs) with complementary characteristics, making interoperability and efficient radio resource handling essential. The policy assigns each user a suitable combination of RAT selection and the number of radio resources within that RAT to meet service-specific QoS requirements for multimedia traffic. The approach models the decision process using linear objective functions and linear programming tools to jointly optimize RAT and intra-RAT resource allocation, supporting QoS-guaranteed multimedia delivery.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages5

Reading Time13 min

Abstract

Introduction

Utility Functions

IEEE Copyright. This is a post-print author's version. Final published version is available at: [https://ieeexplore.ieee.org/](https://ieeexplore.ieee.org/)[ ](https://ieeexplore.ieee.org/)document/4699829 . Common Radio Resource Management Policy for Multimedia Traffic in Beyond 3G Heterogeneous Wireless Systems M.Carmen Lucas-Estañ(1), Javier Gozalvez(1), Joaquin Sanchez-Soriano(2) (1)Ubiquitous Wireless Communications Research (Uwicore) Laboratory (2)Operations Research Center University Miguel Hernandez Elche, Spain [j](j.gozalvez@umh.es)[.gozalvez@umh.es](j.gozalvez@umh.es) 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. Keywords-component; Common Radio Resource Management, Heterogeneous wireless systems, multimedia traffic, Beyond 3G. I. INTRODUCTION There is a wide consensus in the research community that Beyond 3G wireless systems will consist of heterogeneous mobile and wireless Radio Access Technologies (RATs) physically coexisting, but with distinct performance and technical characteristics. Ensuring their interoperability would allow an efficient use of their common radio resources to guarantee the user required Quality of Service (QoS) levels and the maximum systems’ revenue. To achieve these objectives, a key feature of heterogeneous Beyond 3G wireless systems will be the definition of adequate Common Radio Resource Management (CRRM) policies. CRRM techniques are aimed at deciding the RAT over which to convey a user transmission (RAT selection), and the number of resources from the selected RAT (intra-RAT RRM) that the transmission would require to satisfy the QoS requirements. Several studies separately tackle the RAT selection and the intra-RAT RRM dilemmas. For example, [1] and [2] propose intra-RAT RRM policies based on utility functions and economic laws. While the authors in [1] suggest applying auctions principles to maximize the operator’s benefit, [2] proposes the use of bankruptcy-based resource allocation policies to guarantee user fairness and avoid channel access stagnation under heterogeneous traffic environments. In terms of RAT selection techniques, [3] proposes a general framework for their definition, and some specific examples based on pre-established service/RAT assignments. Additional RAT selection principles based on signal strength and instantaneous loads are proposed and evaluated in [4]. Initial proposals to jointly address the RAT selection and intra-RAT RRM dilemmas have been recently proposed. For example, [5] proposes a CRRM algorithm based on neural networks and fuzzy logic that simultaneously determines the most appropriate RAT and bit rate allocation, considering, among other factors, the user QoS constraints. While [5] determines the necessary bit rate at the assigned RAT, it does not tackle the problem of intra-RAT radio resources assignment. In this context, 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 the user/service QoS requirements. The proposed algorithm is based on linear programming optimization techniques, which have shown significant benefits in other areas, and have been recently applied for the first time to CRRM in [6] to address the RATselection dilemma. The work reported in [6] proposes a joint call admission c

FAQs

What problem does the proposed CRRM policy address in Beyond 3G heterogeneous wireless systems?

It jointly determines the appropriate RAT and the number of radio resources within that RAT for each user, targeting QoS requirements for multimedia services.

How does the document define the operation basis for RAT and resource assignment?

It is based on service-dependent utility functions that reflect user-perceived QoS as a function of assigned radio resources per RAT.

What optimization approach does the proposed policy use?

The policy is based on linear objective functions and linear programming optimization tools to perform the joint RAT and intra-RAT resource allocation.

Jul 16, 2026

Upload by Patrick