Robust Resource Allocation With Joint Carrier Aggregation in Multi-Carrier Cellular Networks

Abstract

Abstract-In this paper, we present a novel approach for robust optimal resource allocation with joint carrier aggregation to allocate multiple carriers resources optimally among users with elastic and inelastic traffic in cellular networks. We use utility proportional fairness allocation policy, where the fairness among users is in utility percentage of the application running on the user equipment (UE). Each UE is assigned an application utility function based on the type of its application. Our objective is to allocate multiple carriers resources optimally among users subscribing for mobile services. In addition, each user is guaranteed a minimum quality of service (QoS) that varies based on the user's application type. We present a robust algorithm that solves the drawback in the algorithm presented in [1] by preventing the fluctuations in the resource allocation process, in the case of scarce resources, and allocates optimal rates for both high-traffic and low-traffic situations. Our distributed resource allocation algorithm allocates an optimal rate to each user from all carriers in its range while providing the minimum price for the allocated rate. In addition, we analyze the convergence of the algorithm with different network traffic densities and show that our algorithm provides traffic dependent pricing for network providers. Finally, we present simulation results for the performance of our resource allocation algorithm.

Two-Level Game Based Spectrum Allocation Scheme for Multi-Flow Carrier Aggregation Technique

“…Therefore, our approach can reach a fair-efficient spectrum allocation solution while achieving reciprocal advantages. Compared to these existing HCCA, EMCA and RMRA schemes [1], [2], [10], we demonstrate that our proposed approach attains a better performance during the MCA system operations.…”

“…In [10], authors propose the Robust Multi-carrier Resource Allocation (RMRA) scheme for MDs, which are running realtime and delay-tolerant applications with utility proportional fairness allocation policy. To effectively allocate multiple spectrum resources among devices, they introduce a robust resource allocation algorithm from multiple carriers based on a MCA scenario.…”

“…The RMRA scheme ensures fairness in the utility percentage achieved by the allocated resources for all users while providing the minimum price for the allocated rate. To verify its applicability, simulation results show that the RMRA scheme can greatly enhance the MCA system performance, and overcomes the traffic fluctuation with different network traffic densities [10].…”

“…Step 6: In the lower-level game model, multiple traffic flows in each MD are game players, and their payoffs are defined by using (10). Based on the idea of EMBS, each flow's spectrum amount D CO can be adaptively adjusted, and S D is decided according to (11).…”

Joint Cell Association and User Scheduling in Carrier Aggregated Heterogeneous Networks

“…Different frequency bands are involved in the downlink transmission of the HetNet with different coverage abilities and different propagation characteristics [30]. Under such circumstances, the joint problem of cell association and user scheduling in the HetNets would be more flexible if the users could be engaged with more than one carrier band with proper carrier aggregation strategies [31][32][33].…”