Resource Allocation for Spectrum Underlay in Cognitive Radio Networks
Resource Allocation for Spectrum Underlay in Cognitive Radio Networks
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DOI：
10.1109/t-wc.2008.070890
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发表时间：
2008-12-01
影响因子：
10.4
通讯作者：
Hossain, Ekram
中科院分区：
文献类型：
--
作者：
Le, Long Bao;Hossain, Ekram
提出了一种认知无线网络中频谱底层的资源分配框架。我们既考虑了主用户的干扰约束，又考虑了次用户的服务质量约束。具体地说，从次用户到主用户的干扰被限制在可容忍的限度以下。此外，每个次级用户的信干噪比(SINR)被维持在高于用于服务质量保证的期望水平。我们提出了在高网络负载条件下使用的接纳控制算法，这些算法与功率控制一起执行，以便在满足所有被接纳的次用户的服务质量要求的同时，将对主用户的干扰保持在可容忍的限度之内。如果所有次级用户都能以最低速率获得支持，我们就允许他们提高传输速率并以公平的方式共享频谱。我们将比例和最大-最小公平准则下的联合功率/速率分配问题描述为优化问题。我们展示了如何将这些优化问题转化为凸形式，从而获得它们的全局最优解。数值结果表明，所提出的接纳控制算法的性能与最优解非常接近。针对不同公平性准则下的接纳控制和速率/功率分配算法，研究了不同的系统参数和服务质量参数对网络性能的影响。
A resource allocation framework is presented for spectrum underlay in cognitive wireless networks. We consider both interference constraints for primary users and quality of service (QoS) constraints for secondary users. Specifically, interference from secondary users to primary users is constrained to be below a tolerable limit. Also, signal to interference plus noise ratio (SINR) of each secondary user is maintained higher than a desired level for QoS insurance. We propose admission control algorithms to be used during high network load conditions which are performed jointly with power control so that QoS requirements of all admitted secondary users are satisfied while keeping the interference to primary users below the tolerable limit. If all secondary users can be supported at minimum rates, we allow them to increase their transmission rates and share the spectrum in a fair manner. We formulate the joint power/rate allocation with proportional and max-min fairness criteria as optimization problems. We show how to transform these optimization problems into a convex form so that their globally optimal solutions can be obtained. Numerical results show that the proposed admission control algorithms achieve performance very close to that of the optimal solution. Also, impacts of different system and QoS parameters on the network performance are investigated for the admission control, and rate/power allocation algorithms under different fairness criteria.