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arXiv 2102.09162cs.GT
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随机市场模型下分层接入中的最优频谱分配与许可

Optimal Spectrum Partitioning and Licensing in Tiered Access under Stochastic Market Models

Gourav Saha, Alhussein A. Abouzeid

摘要:

我们考虑将频谱带划分为相等带宽的M个信道,然后进一步将这M个信道分配为P个许可信道和M-P个未许可信道的问题。许可信道可以按照分层结构被访问以用于许可使用和机会性使用,该分层结构对于许可使用具有更高的优先级。未经许可的通道只能用于机会性使用。我们在本文中解决以下问题。给定一个市场设置,M和P的值是多少使频谱带的净频谱利用率最大化?虽然这个问题具有根本性,但它在实际中具有高度相关性,例如,在划分最近提出的公民宽带无线电服务频带的上下文中。如果M过高或过低,则可能分别由于有限的信道容量或由于信道容量的浪费而降低频谱利用率。如果P太高(低),则它不会激励主要对未授权信道(授权信道)感兴趣的无线运营商加入市场。这些权衡被捕获在我们的优化问题,表现为一个两阶段的Stackelberg游戏本身。我们设计了一个算法来解决Stackelberg游戏,从而找到最佳的M和P的算法设计还涉及到一个有效的蒙特卡罗积分器来评估所涉及的随机变量,如频谱利用率和运营商的收入的期望值。我们还基准我们的算法使用数值模拟。

英文摘要:

We consider the problem of partitioning a spectrum band into M channels of equal bandwidth, and then further assigning these M channels into P licensed channels and M-P unlicensed channels. Licensed channels can be accessed both for licensed and opportunistic use following a tiered structure which has a higher priority for licensed use. Unlicensed channels can be accessed only for opportunistic use. We address the following question in this paper. Given a market setup, what values of M and P maximize the net spectrum utilization of the spectrum band? While this problem is of fundamental nature, it is highly relevant practically, e.g., in the context of partitioning the recently proposed Citizens Broadband Radio Service band. If M is too high or too low, it may decrease spectrum utilization due to limited channel capacity or due to wastage of channel capacity, respectively. If P is too high (low), it will not incentivize the wireless operators who are primarily interested in unlicensed channels (licensed channels) to join the market. These tradeoffs are captured in our optimization problem which manifests itself as a two-stage Stackelberg game. We design an algorithm to solve the Stackelberg game and hence find the optimal M and P. The algorithm design also involves an efficient Monte Carlo integrator to evaluate the expected value of the involved random variables like spectrum utilization and operators' revenue. We also benchmark our algorithms using numerical simulations.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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