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Managing QoS in mixed wireless networks using the power performance measure

Research conducted at Morgan State University (MSU) has proposed a new approach for modeling and managing Quality of Service (QoS) in a cellular and ad-hoc mixed wireless network. This paper focuses on two key areas. It first introduces the “power” performance measure to model and manage the QoS requirements for wireless nodes with time critical applications as a function of the traffic level. It then presents a modified k-means clustering algorithm to organize nodes in the mixed network. This paper describes the analytical foundation and provides extensive simulation results to prove that the “power” performance measure is an excellent tool for significantly enhancing the QoS performance of the mixed network and maintaining that performance level under severe operating conditions. The paper concludes by showing that the enhanced clustering scheme can be extended by using additional distance measures such that the mixed network is organized and jointly optimized for QoS, spectrum, or interference management.