Resource Allocation based on Hybrid Sharing Mode for Heterogeneous Services of Cognitive Radio OFDM Systems

Resource Allocation based on Hybrid Sharing Mode for Heterogeneous Services of Cognitive Radio OFDM Systems
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认知无线电正交频分复用系统异构业务混合共享模式的资源分配

DOI:
10.3837/tiis.2015.01.009
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发表时间:
2015-01
影响因子:
1.5
通讯作者:
Yueyun Chen
Yueyun Chen
中科院分区:
计算机科学4区
文献类型:
--
作者:
Qun Lei;Yueyun Chen

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在认知无线电网络(CRN)中,混合覆盖和底层共享传输模式是提高无线电频谱效率的有效技术。与现有文献中只有一个次级用户(SU)使用覆盖和重叠模式不同,不同的传输模式应该根据不同的服务质量(QoS)分配给不同的SU,以实现无线电频谱的最大效率。然而,异构服务的混合共享模式分配仍然是CRN的一个挑战。本文提出了一种新的重叠和重叠的混合共享传输模式(HySOU)的资源分配方法,以获得更多的潜在资源,供SU在不干扰主用户的情况下接入频谱。我们制定HySOU资源分配作为一个混合整数规划问题,以优化系统的总吞吐量,满足异构QoS。为了降低算法的复杂度,我们将问题分解为两个子问题:子信道分配和功率分配。利用割集实现最优子信道分配,并通过拉格朗日对偶函数分解和次梯度算法获得最优功率分配。仿真结果表明,该算法在保证公平性的同时,进一步提高了频谱利用率,获得了令人满意的HySOU分集增益。
In cognitive radio networks (CRNs), hybrid overlay and underlay sharing transmission mode is an effective technique for improving the efficiency of radio spectrum. Unlike existing works in the literature, where only one secondary user (SU) uses overlay and underlay modes, the different transmission modes should be allocated to different SUs, according to their different quality of services (QoS), to achieve the maximal efficiency of radio spectrum. However, hybrid sharing mode allocation for heterogeneous services is still a challenge in CRNs. In this paper, we propose a new resource allocation method for hybrid sharing transmission mode of overlay and underlay (HySOU), to achieve more potential resources for SUs to access the spectrum without interfering with the primary users. We formulate the HySOU resource allocation as a mixed-integer programming problem to optimize the total system throughput, satisfying heterogeneous QoS. To decrease the algorithm complexity, we divide the problem into two sub-problems: subchannel allocation and power allocation. Cutset is used to achieve the optimal subchannel allocation, and the optimal power allocation is obtained by Lagrangian dual function decomposition and subgradient algorithm. Simulation results show that the proposed algorithm further improves spectrum utilization with a simultaneous fairness guarantee, and the achieved HySOU diversity gain is a satisfactory improvement.
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