Broker based secondary spectrum trading

J. Mwangoka, P. Marques, Jonathan Rodriguez
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引用次数: 15

Abstract

Radio spectrum license is multi-dimensional in nature. This suggests that matching a bid to buy and an offer to sell has to be done across the multiple dimensions to maximize spectrum usage in terms of economic efficiency. In addition, creating a functioning secondary market for trading spectrum requires an intermediary for both pooling the resources and matching the supply and demand sides of the equation. This paper proposes a multiple-dimension auctioning mechanism through a broker to facilitate an efficient secondary spectrum market. A broker for orchestrating the market is proposed describing its basic functionalities. Two trading negotiation protocols, i.e., merchant and auction, are discussed. Focusing on the auction mode, the multiple-winner determination problem (mWDP) is defined and cast into a multidimensional multiple-choice knapsack problem (MMKP). Since the MMKP is NP-complete, two heuristic algorithms to solve the mWDP namely (1) area-by-area (ABA), and (2) maximum-utility-first (MUFA) are presented. Numerical studies illustrating the potential of the algorithms are presented. The numerical studies indicate that MUFA is better in addressing the exposure problem.
基于经纪人的二次频谱交易
无线电频谱许可本质上是多维的。这表明,必须在多个维度上匹配出价购买和出价出售,以最大限度地提高经济效率方面的频谱使用。此外,为频谱交易创建一个有效的二级市场,需要一个中介机构来汇集资源,并匹配等式的供需双方。本文提出了一种通过经纪人的多维拍卖机制,以促进高效的二级频谱市场。提出了一个协调市场的经纪人,并描述了其基本功能。讨论了商人和拍卖两种交易协商协议。针对拍卖模式,定义了多赢家确定问题(mWDP),并将其转化为多维选择背包问题(MMKP)。由于MMKP是np完全的,提出了求解mWDP的两种启发式算法,即(1)逐区(ABA)和(2)最大效用优先(MUFA)。数值研究说明了算法的潜力。数值研究表明,MUFA较好地解决了暴露问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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