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Cognitive Multihoming System for Energy and Cost Aware Video Transmission

机译:用于能源和成本感知视频传输的认知多宿主系统

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To alleviate the spectrum scarcity problem in the licensed cellular networks (LCNs), we introduce a new paradigm called cognitive multihoming (CM), where a cognitive radio (CR)-enabled base station transmits to the users simultaneously over the licensed cellular bands and primary user bands in CR networks (CRNs). The CR aspect incurs lower cost, however, at the expense of higher energy consumption due to intermittent channel sensing. On the other hand, transmission via LCN is expensive because of its licensing premium. To minimize the transmission cost while meeting the users energy and received video quality constraints, sensing duration and transmission rate over CRN, transmission rate over LCN, and network selection for retransmission of lost packets are adjusted. Solution to the multiuser resource allocation optimization problem is obtained by solving the cost minimization problem of a single-user system. The problem is nonconvex which is solved using convex-concave procedure. The proposed scheme is compared with the cases where a user operates over a single network, either LCN or CRN. The system performance results indicate that the proposed CM strategy significantly decreases the cost to the users as well as serves a higher number of users while maintaining the desired video quality and energy consumption constraints.
机译:为了缓解许可蜂窝网络(LCN)中的频谱稀缺问题,我们引入了一种称为认知多宿主(CM)的新范例,其中启用认知无线电(CR)的基站通过许可蜂窝频带和主要基站同时向用户传输CR网络(CRN)中的用户频段。 CR方面导致较低的成本,但是,由于间歇的信道感测而以较高的能量消耗为代价。另一方面,由于LCN的许可费用较高,因此传输成本很高。为了在满足用户能量和接收视频质量约束的同时最小化传输成本,调整了CRN上的感测持续时间和传输速率,LCN上的传输速率以及丢失分组重传的网络选择。通过解决单用户系统的成本最小化问题,可以解决多用户资源分配优化问题。问题是非凸的,这可以使用凸凹过程来解决。将建议的方案与用户在单个网络(LCN或CRN)上运行的情况进行比较。系统性能结果表明,提出的CM策略显着降低了用户成本,并为更多用户提供服务,同时保持了所需的视频质量和能耗约束。

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