Analysis of the increase and decrease algorithms for congestion avoidance in computer networks
Computer Networks and ISDN Systems
Real-time scheduling for multimedia services using network delay estimation
Real-time scheduling for multimedia services using network delay estimation
Hot-Spot Congestion Relief in Public-Area Wireless Networks
WMCSA '02 Proceedings of the Fourth IEEE Workshop on Mobile Computing Systems and Applications
An empirical analysis of the IEEE 802.11 MAC layer handoff process
ACM SIGCOMM Computer Communication Review
Balancing uplink and downlink delay of VoIP traffic in WLANs using Adaptive Priority Control (APC)
QShine '06 Proceedings of the 3rd international conference on Quality of service in heterogeneous wired/wireless networks
Managing User Preferences for Personalization in a Pervasive Service Environment
AICT '07 Proceedings of the The Third Advanced International Conference on Telecommunications
A survey of quality of service in mobile computing environments
IEEE Communications Surveys & Tutorials
IEEE Wireless Communications
Providing statistical QoS guarantee for voice over IP in the IEEE 802.11 wireless LANs
IEEE Wireless Communications
The common RRM approach to admission control for converged heterogeneous wireless networks
IEEE Wireless Communications
How well can the IEEE 802.11 wireless LAN support quality of service?
IEEE Transactions on Wireless Communications
Supporting QoS in IEEE 802.11e wireless LANs
IEEE Transactions on Wireless Communications
MPEG-4 and H.263 video traces for network performance evaluation
IEEE Network: The Magazine of Global Internetworking
Distributed radio resource usage optimization of WLANs based on IEEE 1900.4 architecture
WD'09 Proceedings of the 2nd IFIP conference on Wireless days
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Heterogeneity and convergence are two distinctive connotations of future wireless networks emanated from International Telecommunications Union (ITU)'s vision of Optimally Connected, Anywhere, Anytime. Multiple access networks, multiple terminals and multiple services are expected to converge in a manner where heterogeneity can be exploited to realize this ultimate goal. This raises the importance of radio resource management (RRM) for a multiple radio access technologies (multi-RAT) environment, where coalitions of heterogeneous access networks are each connected to a common Internet Protocol (IP)-based core network. In this article, we develop a cooperative RRM framework for future IP-based multi-RAT environment to coordinate better utilization of radio resources in an opportunistic yet altruistic manner. We motivate the importance of cooperation which can exploit heterogeneity as an enabler to improve system capacity and quality of service (QoS) of users. We exemplify the proof of concept based on a heterogeneous multiple access points (multi-AP) wireless local area network (WLAN) and argue that our technology agnostic approach is readily applicable to future IP-based multi-RAT environment. We demonstrate that our cooperative RRM framework benefits from the unified actions of joint optimization and results in a QoS-balanced system by enabling different functional entities to form synergies and multiple access networks to interact. We further show that a QoS-balanced system has salient traits of providing statistical QoS guarantee to support demanding multimedia applications while maximizing overall system capacity. Consequently, we advocate the notion of QoS balancing as criterion to quantify the state of balance in future IP-based multi-RAT environment.