Research on Multi-constrained QoS Routing Scheme Using Mean Field Annealing
PDCAT '05 Proceedings of the Sixth International Conference on Parallel and Distributed Computing Applications and Technologies
High-Throughput Multicast Routing Metrics in Wireless Mesh Networks
ICDCS '06 Proceedings of the 26th IEEE International Conference on Distributed Computing Systems
Distributed Adaptive Power Allocation for Wireless Relay Networks
IEEE Transactions on Wireless Communications
Hi-index | 0.00 |
Quality of Service (QoS) Guarantees grant ways for service providers to establish service differentiation among subscribers. On the other hand, service subscribers are also assured the level of service they paid for. In addition, the efficient level of service quality can be selected according to the subscribers' needs thus ensuring efficient use of available bandwidth. While network utility optimization techniques assure certain QoS metrics, a number of situations exist where some QoS goals are not met. The optimality of the network parameters is not mandatory to guarantee specified QoS levels. This paper proposes a joint data rate and power control scheme that guarantees service contract QoS level to a subscriber using Goal Programming. In using goal programming, this paper focuses on finding the range of feasible solutions as opposed to solving for the optimal. In addition, in case no feasible solution is found, an acceptable compromised solution is solved.