An efficient and adaptive bandwidth allocation scheme for mobile wireless networks using an on-line local estimation technique

The next generation of mobile wireless networks has to provide the quality- of-service (QoS) for a variety of applications. One of the key generic QoS parameters is the call dropping probability, which has to be maintained at a predefined level independent of the traffic condition. In the presence of bursty data and the emerging multimedia traffic, an adaptive and dynamic b andwidth allocation is essential in ensuring this QoS, The paradox, however , is that all existing dynamic bandwidth allocation schemes require the pri or knowledge of all traffic parameters or/and user mobility parameters. In addition, most proposals require extensive status information exchange amon g cells in order to dynamically readjust the control parameters, thus makin g them difficult to be used in actual deployment. In this paper, we introduce a novel adaptive bandwidth allocation scheme wh ich estimates dynamically the changing traffic parameters through local on- line estimation. Such estimations are restricted to each individual cell, t hus completely eliminating the signaling overhead for information exchange among cells. Furthermore, we propose the use of a probabilistic control pol icy, which achieves a high channel utilization, and leads to an effective a nd stable control. Through simulations, we show that our proposed adaptive bandwidth allocation scheme can guarantee the predetermined call dropping p robability under changing traffic conditions while at the same time achievi ng a high channel utilization.