Bioinspired Dynamic Spectrum Management in 3D Networks

Bioinspired Dynamic Spectrum Management in 3D Networks
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DOI:
10.1109/dcoss-iot58021.2023.00038
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发表时间:
2023-06
期刊:
2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)
影响因子:
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通讯作者:
Aisha B. Rahman;Jordan Patrizi;P. Charatsaris;E. Tsiropoulou;S. Papavassiliou
Aisha B. Rahman;Jordan Patrizi;P. Charatsaris;E. Tsiropoulou;S. Papavassiliou
中科院分区:
其他
文献类型:
--
作者:
Aisha B. Rahman;Jordan Patrizi;P. Charatsaris;E. Tsiropoulou;S. Papavassiliou

文献摘要

相似文献

本文从经济学的角度出发,对动态频谱管理的挑战进行了研究。特别是,利用自由竞争下的共生理论,提出了一种新的从网络服务提供商(NSP)到用户的仿生频谱分配方法。总体目标是确定NSP的最优带宽价格,以最大化其利润,同时满足用户的带宽需求。在利用由高空平台(HAP)、无人机(UAV)和地面GNBNSP组成的新型3D网络体系结构的同时,对上述频谱管理框架进行了分析,其中每个NSP在覆盖方面呈现出不同的作战特征和能力。具体地说,分别拥有地面GNB、UAV和HAP的各种NSP通过提供许可和非许可频段并从他们那里获得报酬,与用户建立了一种共生关系。对于自由市场模型,确定了纳什均衡,推导出每个NSP的最优无许可带宽片的价格。通过建模和仿真实现了该方法的性能评估。
In this paper, the challenge of dynamic spectrum management is treated following an economic-based perspective. In particular, a novel bioinspired spectrum allocation from the Network Service Providers (NSPs) to the users is introduced, exploiting the theory of symbiosis under the free competition. The overall objective is to determine the NSPs optimal band-width prices to maximize their profit, while satisfying the users bandwidth needs. The aforementioned spectrum management framework is analyzed while exploiting a novel 3D network architecture consisting of High Altitude Platforms (HAPs), Unmanned Aerial Vehicles (UAVs), and ground gNBs NSPs, each one of them presenting different operational characteristics and capabilities in terms of coverage. Specifically, various NSPs owning the ground gNBs, UAVs, HAPs, respectively, engage in a symbiotic relationship with the users, by offering licensed and unlicensed spectrum bands and receiving payment from them in return. The Nash equilibrium is determined for the free market modeling, where the optimal unlicensed bandwidth slices' prices for each NSP are derived. The performance evaluation of the proposed approach is achieved via modeling and simulation.