论文部分内容阅读
This paper puts forward a novel cognitive cross-layer design algorithms for multihop wireless networks optimization across physical,mediam access control (MAC),network and transport layers.As is well known,the conventional layered-protocol architecture can not provide optimal performance for wireless networks,and cross-layer design is becoming increasingly important for improving the performance of wireless networks.In this study,we formulate a specific network utility maximization (NUM) problem that we believe is appropriate for multihop wireless networks.By using the dual algorithm,the NUM problem has been optimal decomposed and solved with a novel distributed cross-layer design algorithm from physical to transport layers.Our solution enjoys the benefits of cross-layer optimization while maintaining the simplicity and modularity of the traditional layered architecture.The proposed cross-layer design can guarantee the end-to-end goals of data flows while fully utilizing network resources.Computer simulations have evaluated an enhanced performance of the proposed algorithm at both average source rate and network throughput.Meanwhile,the proposed algorithm has low implementation complexity for practical reality.
This paper puts forward a novel cognitive cross-layer design algorithms for multihop wireless networks optimization across physical, mediam access control (MAC), network and transport layers. As well known, the conventional layered-protocol architecture can not provide optimal performance for wireless networks, and cross-layer design is becoming increasingly important for improving the performance of wireless networks. in this study, we formulate a specific network utility maximization (NUM) problem that we believe is appropriate for multihop wireless networks. By using the dual algorithm, the NUM problem has been optimally decomposed and solved with a novel distributed cross-layer design algorithm from physical to transport layers. Our solution enjoys the benefits of cross-layer optimization while maintaining the simplicity and modularity of the traditional layered architecture. The proposed cross- layer design can guarantee the end-to-end goals of data flows while fully utilizing network resour ces.Computer simulations have as an enhanced performance of the proposed algorithm at both average source rate and network throughput.Meanwhile, the proposed algorithm has low implementation complexity for practical reality.