臺灣博碩士論文加值系統

基於霧計算無線接取網路的數據分流下，當使用者通過霧接取點/無線網路接取點向雲端發送數據請求時由於使用者無法從原本的霧接取點/無線網路接取點取得所需資料，BBU會將收集所有接取點的訊息，計算每個接取點的分數，並為使用者選擇最適合的接取點。所提出方法的主要優點是，如果所需資料已經緩存在霧接取點的本地緩存的緩存之中時，則將會提高平均吞吐量。為了提高平均吞吐量和減少總傳輸時間，資料必須從原本接收到的霧接取點/無線網路接取點分流到新的霧接取點/無線網路接取點。而為了要提高分流效率、降低信令成本，使用者需要盡可能地從霧接取點中的本地緩存接收所需資料。模擬結果顯示，所提出的方案在平均吞吐量、總傳輸時間以及反應時間方面均優於現有方案，並有一定的額外信令成本的開銷。

In the thesis, we proposed a data offloading scheme for fog-computing-based radio access networks (Fog-RAN), where a user equipment (UE) requests the data transmitted from the cloud center through the fog access point (Fog-AP)/Wi-Fi access point (W-AP). When UE cannot receive the data from the original Fog-AP/W-AP, BBU collects the information of all the AP, calculates the score of each AP and selects the most appropriate AP for UE. The main advantage of the proposed approach is that the average throughput is enhanced if the required data already existed in the cache of the Fog-APs' local cache. To enhance the average throughput and reduce the total transmission time, the data has to be offloaded from the original Fog-AP/W-AP to the new Fog-AP/W-AP. To improve the offloading efficiency and reduce the signaling cost, the data cached in the Fog-AP has to be retrieved from the UE as much as possible. Simulation results show that the proposed scheme performs better than the existing scheme in terms of the average throughput, the total transmission time and the response time with some extra signalling cost.

1 Introduction
2 Related Works
3 Preliminaries
4 A Data Offloading Scheme in Fog-Computing-Based Radio Access Networks
5 Simulation result
6 Conclusions
7 Acknowledgments

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