對感知無線網路的動態頻譜交易之分析

感知無線網路主要是被用在增進頻寬資源的使用率，在未來新興的科技發展中，是個很重要的主題。其中，有一個很熱門的議題就是頻寬資源在次級市場中的交易，目前有許多關於頻寬交易的機制已經被研究、提出了，這當然包括各式各樣的拍賣方法。但對於頻寬交易的次級市場中的拍賣方法沒有完整的分析。在本篇論文當中，我們使用寡占市場的模型，來為頻寬交易的次級市場建模，其中主要消費者作為賣家，次級服務營運商做為買家。並且分析與比較了各種不同拍賣的方法的差異性。藉由寡占市場中，消費者的效用函數可導出買家的需求曲線，而需求曲線及供給曲線再搭配上寡占市場的特性，可讓我們推導出拍賣機制的結果。這些數值結果將會揭露不同拍賣機制之間的差異。為次級市場頻寬買賣拍賣機制的選擇提供參考。

關鍵字

無線感知網路；頻譜使用率；頻譜交易；次級市場；拍賣機制；寡占市場

並列摘要

Cognitive radio network is an important topic in future technology to improve the utilization of spectrum resource. One popular issue is spectrum trading in secondary market, and lots of trading mechanisms have been proposed. Although there is a variety of auctionmechanisms proposed for spectrum trading, there is not acomplete analysis of the difference of auction mechanisms. In this paper, we do the analysis and comparison amongdifferent proposed auction mechanisms for spectrum trading. We model this spectrum trading market as oligopoly market where primary users as sellersand secondary service providers as buyers. By using the buyer’s utility,we could derive the demand functions of secondary service providers. Withthe characteristicsof oligopoly market, the demand functions and the supply functions can let us obtain the results of auctions. The numerical results reveal the difference of auction mechanisms. This paper can provide reference for both primary user and secondary service provider to make properdecisionsin the spectrum trading market.

並列關鍵字

cognitive radio ； spectrum utilization ； spectrum trading ； secondary market ； auction mechanism ； oligopoly market

參考文獻

[1] C. Sun, W. Chen, and K.B. Letaief, “Fair and Efficient Channel Allocation and Spectrum Sensing for Cognitive OFDMA Networks”, IEEE International Conference, pp. 1 – 5, May. 2010.

[2] J. Mitola and G.Q. Maguire,“Cognitive radio: making software radios more personal”, IEEE Personal Communications, vol. 6, no. 4, pp. 13 – 18,Aug.1999.

[3] IEEE 802.22 WG, “IEEE 802.22 Working Group on Wireless Regional Area Networks”, Retrieved Sep. 21, 2011, from World Wide Web: http://www.ieee802.org/22/

[6] V. Rodriguez, K. Moessner, and R. Tafazolli, “Auction Driven Dynamic Spectrum Allocation: Optimal Bidding,Pricing and Service Priorities for Multi-rate, Multi-Class CDMA”, IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, vol. 3, pp. 1850 – 1854, Sept. 2005.

[7] H.-B. Chang and K.-C.Chen , “Auction-Based Spectrum Management of Cognitive Radio Networks”, IEEE Transactions on Vehicular Technology,vol. 59, no. 4, pp. 1923 – 1935,May. 2010.

國際替代計量

對感知無線網路的動態頻譜交易之分析

全文下載

主題瀏覽