下世代無線網路虛擬業者頻寬分享模式之研究

隨著無線網路市場發展蓬勃，現今廣佈的無線網路接取點已被電信業者大量設置，然而可利用的頻譜十分稀少，電信設施也十分地昂貴，因此如何使頻寬資源盡量發揮最大功效，做最有效率的管理，是一項極重要的研究議題。因此本論文提出一個新的無線網路虛擬業者頻寬分享機制，藉以改善此現況。在預測未來無限網路會有如MVNO發展之趨勢下，會有許多中小型企業藉由虛擬企業之經營方式，跨足無線網路市場。因此無線網路電信設備提供的業者可選取處於不同市場區隔的虛擬業者，根據其虛擬業者的顧客上網時間分佈差異，可以聯合執行頻寬分享之機制。本研究透過動態規劃(Dynamic Programming)，將事前所預估出各時段的需求量，代入最佳化頻寬之借用模式，可求出各時點租借頻寬的決策量。本研究亦探討數值分析，將頻寬借用數學模式在WiFi環境下的三種使用情境以模擬驗證，結果顯示此機制對照於無頻寬分享之作法，不僅可以讓虛擬業者的頻寬使用率提高、QoS提高，利潤亦增加，並且可以應付特殊情況之突增需求量。因此本研究提供之最佳化的借貸機制以及拆帳之方法，可供未來虛擬業者經營方向規則或相互拆帳談判之參考。

關鍵字

動態規劃；頻寬分享；無線網路

並列摘要

Nowadays, hotspots are being largely deployed by WISPs (Wireless Internet Service Providers) as a ubiquitous means of offering Internet access to their customers. However, sparse of spectrum and costly infrastructure, it requires more flexible bandwidth management than before. In order to alleviate the burden of cost incurred by service providers, this thesis introduces a simple concept of bandwidth sharing in a wireless environment. As in the case of MVNO, wireless networks will also develop “virtual operator” to run their business. The facility band operator can unite all of its virtual operators to share bandwidth by different market segment. It proposes a dynamic programming algorithm to obtain the optimal solution by forecasting bandwidth demand in advance. The research will simulate the three virtual operators’ behavior in an IEEE 802.11g environment. These simulations are conducted in different market segments and analyze the performance of the bandwidth sharing algorithm. The results show that the bandwidth sharing model for virtual network operators can not only provide higher bandwidth utilization and QoS but also earn more profit for all virtual operators. In addition, the model can help operators to alleviate the unexpected increase in bandwidth demand. As a conclusion, the model provides an optimal bandwidth sharing algorithm and the rental management procedure for operators in the future wireless environment.

並列關鍵字

Dynamic Programming ； bandwidth sharing ； wireless

參考文獻

[3] M. J. Johnson and R. Adema ,”Functional Coexistence of Many Wireless Clients (extended abstract),” IBM Corp 2004.

[4] H. Chaouchi, Anelise Munaretto: Adaptive QoS Management for IEEE 802.11 Future Wireless ISPs. ACM Wireless Networks 10(4): 413-421, 2004

[5] J. Hultell,; K. Johansson, and J. Markendahl, “Business models and resource management for shared wireless networks,” IEEE 60th Vehicular Technology Conference, 26-29 Sept. 2004.

[6] T. Heikkinen, “Distributed scheduling and dynamic pricing in a communication network,” Wireless Networks, v.10 n.3, pp.233-244, May 2004.

[8] G. van Kessel, R. Núñez-Queija, SC Borst.,” Differentiated bandwidth sharing with disparate flow sizes,” Proceedings of IEEE INFOCOM, Miami, USA, 2005.

國際替代計量

下世代無線網路虛擬業者頻寬分享模式之研究

全文下載

主題瀏覽