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CRAC: Cognitive Radio Assisted Cooperation for Downlink Transmissions in OFDMA-Based Cellular Networks

机译:CRAC:基于OFDMA的蜂窝网络中下行传输的认知无线电辅助合作

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摘要

In this paper, we propose a novel framework of cognitive radio assisted cooperation (CRAC) for downlink transmissions in orthogonal frequency-division multiple access (OFDMA) - based cellular networks. In the proposed CRAC framework, relay stations are deployed in each cell and have spectrum sensing capability. In turn, they can access unoccupied white space to opportunistically obtain additional sub-channels to assist relaying information for cellular users. One of promising novelties is that the proposed CRAC considers joint resource allocation which includes transmission mode selection, relay station allocation, and transmit power/sub-channel allocation, to cost-effectively provide services and applications. Specifically, we first formulate the joint resource allocation as a sum utility maximization problem with power constraints on the base station and relay stations, which is a mixed integer programming problem. Then, we leverage dual decomposition method and derive a centralized optimal solution. Extensive simulation results are presented and demonstrate that the proposed CRAC can achieve a significant performance improvement in terms of the downlink network throughput while maintaining comparable fairness among cellular users in contrast to the traditional relay-based cooperation approach.
机译:在本文中,我们提出了一种新的认知无线电辅助合作(CRAC)框架,用于基于正交频分多址(OFDMA)的蜂窝网络中的下行链路传输。在提出的CRAC框架中,中继站部署在每个小区中,并具有频谱感知功能。进而,他们可以访问空闲的空白空间以机会性地获得其他子信道,以帮助为蜂窝用户中继信息。有希望的新颖性之一是,提出的CRAC考虑联合资源分配,包括传输模式选择,中继站分配和发射功率/子信道分配,以经济高效地提供服务和应用。具体来说,我们首先将联合资源分配公式化为基站和中继站上功率受限的总和效用最大化问题,这是一个混合整数规划问题。然后,我们利用对偶分解方法并得出集中的最优解。提出了广泛的仿真结果并证明,与传统的基于中继的协作方法相比,所提出的CRAC可以在下行链路网络吞吐量方面实现显着的性能提升,同时保持蜂窝用户之间的可比公平性。

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