Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: An understanding of the network traffic behavior is essential in the evolution of today's wireless networks, and thus leads to a more efficient planning and management of the network's scarce bandwidth resources. Prior reservation of radio resources at the future locations of a user's mobile trajectory can help with optimizing the allocation of the network's limited resources, as ll as help with sustaining a desirable level of QoS. The objective of this study is to propose a framework for a mobility prediction model using Markov renewal processes, for computing the likelihoods of the next-cell transition, along with anticipating the duration beten the transitions, for an arbitrary user in a wireless network. The proposed technique can also be used to estimate the expected traffic load and activity at each location in a network's coverage area.
['Haitham Abu-Ghazaleh', 'Attahiru Sule Alfa']
I am writing a research paper on a idea Mobility Prediction and Spatial-Temporal Traffic Estimation in Wireless Networks
[{"from": "human", "value": "I am writing a research paper on a idea Mobility Prediction and Spatial-Temporal Traffic Estimation in Wireless Networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: An understanding of the network traffic behavior is essential in the evolution of today's wireless networks, and thus leads to a more efficient planning and management of the network's scarce bandwidth resources. Prior reservation of radio resources at the future locations of a user's mobile trajectory can help with optimizing the allocation of the network's limited resources, as ll as help with sustaining a desirable level of QoS. The objective of this study is to propose a framework for a mobility prediction model using Markov renewal processes, for computing the likelihoods of the next-cell transition, along with anticipating the duration beten the transitions, for an arbitrary user in a wireless network. The proposed technique can also be used to estimate the expected traffic load and activity at each location in a network's coverage area."}]