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Efficient Spectrum Utilization on TV Band for Cognitive Radio Based High Speed Vehicle Network

机译：基于认知无线电的高速车辆网络在电视频段上的高效频谱利用

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摘要

It is well known that broadband wireless communications (BWC) are necessary for high speed vehicles since passengers need many broadband wireless multimedia services. However, one design challenge is to identify sufficient spectrum resource to support BWC in high speed vehicles. Recently, cognitive radios (CRs) are being considered as a promising technology to solve scarcity problem of spectrum resource. Therefore, we investigate the spectrum resource allocation problem in the CR based high speed vehicle network (CR-HSVN) in this paper. Specifically, we propose a spectrum resource allocation framework, where high speed vehicles could effectively utilize the TV white spaces. Subsequently, we formulate the allocation of spectrum resource as an optimization problem to maximize the available spectrum resources (i.e., TV white spaces) utilized by the CR-HSVN, and investigate the property of the CR-HSVN to reduce the complexity by separation computing method without loss of optimality. Furthermore, we analyze the optimal solution based on branch and bound method, the suboptimal solutions based on single channel and linear programming, respectively. Simulation results show that the proposed framework could offer excellent performances of the spectrum utilization and fairness for the CR-HSVN. Meanwhile, the aggregated interference from vehicles to primary users is constrained.
机译：众所周知，由于乘客需要许多宽带无线多媒体服务，因此高速车辆需要宽带无线通信（BWC）。但是，设计挑战之一是要确定足够的频谱资源来支持高速车辆中的BWC。近来，认知无线电（CR）被认为是解决频谱资源稀缺问题的有前途的技术。因此，本文研究了基于CR的高速车辆网络（CR-HSVN）中的频谱资源分配问题。具体而言，我们提出了一种频谱资源分配框架，其中高速车辆可以有效利用电视空白空间。随后，我们将频谱资源的分配公式化为优化问题，以最大化CR-HSVN所利用的可用频谱资源（即，电视空白空间），并通过分离计算方法研究CR-HSVN的特性以降低复杂度而不会失去最优性。此外，我们分别分析了基于分支定界法的最优解，基于单通道和线性规划的次优解。仿真结果表明，所提出的框架可以为CR-HSVN提供出色的频谱利用率和公平性。同时，限制了车辆对主要用户的总体干扰。

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