Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  consider modeling the statistical behavior of interactive and streaming traffics in high-speed downlink packet access (HSDPA) networks. Two important applications in these traffic categories are b-browsing (interactive service) and video streaming (streaming service). b-browsing is characterized by its important sensitivity to delay. Video streaming on the other hand is less sensitive to delay, hover, due to its large frame sizes, video traffic is more affected by the packet loss resulting from a limited buffer size at the base station. Taking these characteristics into account,  consider modeling the queuing delay probability density function (PDF) of the b-browsing traffic, and modeling the queuing buffer size distribution of video streaming traffic. Specifically,  show that the queuing delay of the b-browsing traffic follows an exponential distribution and that the queuing buffer size of video streaming traffic follows a ighted ibull distribution. Model fitting based on simulated data is used to provide simple mathematical formulations for the different parameters that characterize the PDFs under consideration. The provided equations could be used, directly, in HSDPA network dimensioning and, as a reference, to satisfy a certain quality of service (QoS).
['Sonia Aissa', 'Ghassane Aniba']
I am writing a research paper on a idea Queuing Models for Dimensioning Interactive and Streaming Services in High-Speed Downlink Packet Access Networks
[{"from": "human", "value": "I am writing a research paper on a idea Queuing Models for Dimensioning Interactive and Streaming Services in High-Speed Downlink Packet Access Networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  consider modeling the statistical behavior of interactive and streaming traffics in high-speed downlink packet access (HSDPA) networks. Two important applications in these traffic categories are b-browsing (interactive service) and video streaming (streaming service). b-browsing is characterized by its important sensitivity to delay. Video streaming on the other hand is less sensitive to delay, hover, due to its large frame sizes, video traffic is more affected by the packet loss resulting from a limited buffer size at the base station. Taking these characteristics into account,  consider modeling the queuing delay probability density function (PDF) of the b-browsing traffic, and modeling the queuing buffer size distribution of video streaming traffic. Specifically,  show that the queuing delay of the b-browsing traffic follows an exponential distribution and that the queuing buffer size of video streaming traffic follows a ighted ibull distribution. Model fitting based on simulated data is used to provide simple mathematical formulations for the different parameters that characterize the PDFs under consideration. The provided equations could be used, directly, in HSDPA network dimensioning and, as a reference, to satisfy a certain quality of service (QoS)."}]