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机构地区:[1]南京邮电大学电子科学与工程学院,江苏南京210003
出 处:《计算机技术与发展》2013年第8期66-69,78,共5页Computer Technology and Development
基 金:国家"863"高技术发展计划项目(2009AA01Z202)
摘 要:随着各种无线移动终端和各种无线电新应用业务得到飞速发展,人们对无线频谱的使用更加频繁,对无线频谱资源的需求日益增加,从而使无线频谱成为一种稀缺资源。频谱的稀缺会成为制约无线通信行业发展的瓶颈。为了更加有效地利用频谱资源,文中利用经典的经济学中的古诺博弈模型来分析认知网络中的频谱分配问题,考虑主要(授权)用户频谱供给量对频谱价格的影响,对原有价格函数进行改进,体现主要用户对频谱价格的影响,构建新的频谱分配模型,并提出新的效用函数,来更好地分析认知无线电网络中频谱分配问题,证明纳什均衡的存在性,有效提高频谱利用率。仿真结果表明,该算法更加贴近实际网络,更好地反应了主要用户的竞价意愿,达到了一定的实际应用能力。As the wireless mobile terminal and new radio application business has been rapid development, people use the radio spectrum more frequently and the wireless spectrum resource demand is increasing, so that the wireless spectrum becomes a scarce resource, which will become the bottleneck of the development of wireless communication. In order to use spectrum resources more efficiently, use the classical economics of Cournot game model to analyze the spectrum allocation in cognitive radio networks, considering the influence of main (authorized) user spectrum supply to the price of spectrum' s ,the original price function was improved,reflecting main users' in- fluence to the price of spectrum. Constructed a new spectrum allocation model, proposing a new utility function, to better analyse cognitive radio spectrum allocation, and demonstrate the existence of the Nash Equilibrium, effectively improving the spectrum utilization rate. The simulation results show that,this algorithm is more close to the actual network,better reflecting the main users of the bidding intention, have some practical application ability.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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