Practical Handbook of Genetic Algorithms
Practical Handbook of Genetic Algorithms
Introduction to Algorithms
A Behavioral Model of Web Traffic
ICNP '99 Proceedings of the Seventh Annual International Conference on Network Protocols
Proceedings of the 9th annual international conference on Mobile computing and networking
Wireless downlink data channels: user performance and cell dimensioning
Proceedings of the 9th annual international conference on Mobile computing and networking
Radio Resource Management for Cellular CDMA Systems Supporting Heterogeneous Services
IEEE Transactions on Mobile Computing
IEEE Transactions on Mobile Computing
Downlink power allocation for multi-class wireless systems
IEEE/ACM Transactions on Networking (TON)
IEEE Transactions on Wireless Communications
Analysis and results for the orthogonality factor in WCDMA downlinks
IEEE Transactions on Wireless Communications
Dynamic rate adaptation and integrated rate and error control in cellular WCDMA networks
IEEE Transactions on Wireless Communications
IEEE Transactions on Computers
CDMA/HDR: a bandwidth efficient high speed wireless data service for nomadic users
IEEE Communications Magazine
Dynamic resource scheduling schemes for W-CDMA systems
IEEE Communications Magazine
Class-based quality of service over air interfaces in 4G mobile networks
IEEE Communications Magazine
Rate-regulated power control for supporting flexible transmission in future CDMA mobile networks
IEEE Journal on Selected Areas in Communications
An econometric model for resource management in competitive wireless data networks
IEEE Network: The Magazine of Global Internetworking
Proceedings of the 8th ACM international symposium on Mobile ad hoc networking and computing
Complexity of scheduling with analog network coding
Proceedings of the 1st ACM international workshop on Foundations of wireless ad hoc and sensor networking and computing
Radio access network selection in a heterogeneous communication environment
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Optimising radio access in a heterogeneous wireless network environment
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Asymmetry-aware real-time distributed joint resource allocation in IEEE 802.22 WRANs
INFOCOM'10 Proceedings of the 29th conference on Information communications
WSEAS TRANSACTIONS on COMMUNICATIONS
Joint admission and power control for quality-of-service in the wireless downlink
Journal of Network and Computer Applications
Hi-index | 0.00 |
In this paper, we propose a unified framework for rate allocation and admission control for CDMA data networks with a goal of maximizing the service provider's revenue taking into consideration user churn behavior, i.e., users' migration from one provider to another. The power constrained discrete rate allocation (PC-DRA) problem that finds the rates at which the base station must transmit to each user is very difficult because of the nonlinear nature of the objective function, the discrete nature of available rates, and the complex relationship between data rate, the target SINR, and the total power constraint. We prove that the PC-DRA problem is NP-Complete for CDMA data networks and then propose three heuristics—a two step selective rate reduction (SRR) scheme, a genetic algorithm (GA), and an improved genetic algorithm (IGA) to solve it. We show that all three heuristics can achieve suboptimal that is very close to the global optimal, while SRR provides solutions of high quality with much less computation time than GA and IGA. At the frame level, the rate allocation maximizes the service provider's revenue by adjusting individual user's data rate on a frame by frame basis. On the other hand, the service provider's revenue varies with the system load, which is decided by admission control at the session level. Thus, the admission control needs to maintain an optimal system load. An efficient resource management framework is provided by the cross level (layer) interaction between the link layer (rate control) and the network layer (admission control) in the sense that 1) they share the same objective of maximizing the service provider's revenue, and 2) the solution to the rate allocation problem provides critical information for the admission control decision. The proposed framework is evaluated by extensive simulation experiments with realistic Web browsing and FTP traffic models. Simulation results confirm that the framework is able to provide class-based differentiated data services that also maximize the service provider's revenue.