Our main objective in this proposal is to provide effective wireless data services in 3G CDMA networks and accordingly develop robust protocols which can adapt to the changing traffic pattern, be it voice or multimedia traffic. We propose to investigate some fundamental aspects of wireless data networking which will not only be confined to the static optimization paradigm, where all the input parameters remain unchanged during the course of services. Due to the host mobility, variation in speed, mobility pattern and direction of movement, unpredictable fluctuations in the bit-rate and bit-error rate of wireless links, channel conditions and fluctuation of cumulative load on wireless bandwidth, there is a need for on-line decision making, thus leading to a dynamic optimization paradigm. Extensive performance modeling, analysis and simulation experiments will also be conducted to test the efficiency and robustness of our proposed protocols.
Although, we will concentrate mainly on the CDMA networks, we hope to apply our methodologies for performance evaluation for other data networks also. Similar models can be used to evaluate the airlink performance of a GPRS/EDGE network, by computing the throughput of each user. In the process, we will also calculate the delay each user has to put up with to transmit his data. Using multi-slot reservation, the packet delay will be reduced and the bandwidth assigned to a user can be varied dynamically. To maximize throughput, more dynamic optimization at the GPRS MAC/RLC level will be required. Finally, we will evaluate the impact of this layer-2 GPRS performance when mapped onto CDMA networks (cdma2000 and W-CDMA).
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