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A Two-Step Channel and Power Allocation Scheme in Centralized Cognitive Networks Based on Fairness

机译：基于公平性的集中认知网络中的两步通道和功率分配方案

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We consider a cognitive network which is operating with licensed networks simultaneously. One of the major concerns lies in the fact that cognitive networks may cause harmful interference to licensed users. This paper focuses on a joint channel and power allocation scheme that can both protect licensed users and meet the quality of service (QoS) of cognitive radio users with fairness. The problem can be formulated as a nonlinear programming. For reducing complexity in obtaining optimal channel and power allocation scheme, we propose a two-step suboptimal scheme that can achieve good performance with lower complexity. In the first step, resources, such as channels and powers, are allocated by cognitive radio base station (CRBS) based on fairness and QoS requirements to get the maximum available resources of cognitive radio customer premises equipment (CRCPE). In the second step, to get the final resource and reduce algorithm complexity, the allocation task is accomplished by each CRCPE simultaneously, rather than accomplished by CRBS in a serial order. Theoretical analysis and simulation results show that our scheme can support the QoS of CRCPEs with both lower power consumption and fair resource allocation.
机译：我们考虑同时使用许可网络运行的认知网络。其中一个主要问题在于，认知网络可能对许可用户造成有害干扰。本文侧重于联合通道和功率分配方案，可以保护许可用户并满足认知无线电用户的服务质量（QoS），具有公平性。问题可以作为非线性编程配制。为了降低在获得最佳通道和功率分配方案方面的复杂性，我们提出了一种两步的次优方案，可以实现具有较低复杂性的良好性能。在第一步中，基于公平性和QoS要求，通过认知无线电基站（CRB）来分配资源，例如渠道和权力，以获得认知无线电客户房屋设备（CRCPE）的最大可用资源。在第二步中，为了获得最终资源和降低算法复杂性，分配任务由每个CRCPE同时完成，而不是通过串行顺序完成CRB完成。理论分析和仿真结果表明，我们的方案可以支持CRCPE的QoS，既较低功耗和公平资源分配。

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