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A coalition formation game based relay selection scheme for cooperative cognitive radio networks

机译：基于联盟形成博弈的协作认知无线电网络中继选择方案

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摘要

In a cognitive radio network, cooperative communications between a primary user (PU) and a second user (SU) may be able to significantly improve the spectrum utilization, and thus, the network performance. To be specific, the PU can select a number of SUs as its relays to cooperatively transmit its data. In turn, these relays can be granted access to the licensed channel of the PU to transmit their data. In this paper, an effective cooperation strategy for SUs is presented. We formulate the problem of cooperative relay selection as a coalition formation game, and develop a utility function based on the game. The utility function considers various factors such as transmission power and noise level. With the utility function, a distributed coalition formation algorithm is proposed, which can be used by SUs to decide whether to join or leave a coalition. Such a decision is based on whether it can increase the maximal coalition utility value. We rigorously prove that our proposed coalition formation algorithm can terminate and reach a stable state. Finally, this paper demonstrates that the proposed scheme is able to enhance the network throughput via a simulation study.
机译：在认知无线电网络中，主要用户（PU）和第二个用户（SU）之间的协作通信可能能够显着提高频谱利用率，从而提高网络性能。具体而言，PU可以选择多个SU作为其中继以协作地发送其数据。继而，可以授权这些中继访问PU的许可信道以传输其数据。本文提出了一种有效的SU合作策略。我们将合作中继选择问题表述为联盟形成博弈，并基于该博弈开发效用函数。效用函数考虑各种因素，例如发射功率和噪声水平。利用效用函数，提出了一种分布式联盟形成算法，供SU用来决定是否加入联盟。这样的决定基于它是否可以增加最大联盟效用值。我们严格证明了我们提出的联盟形成算法可以终止并达到稳定状态。最后，本文证明了该方案能够通过仿真研究来提高网络吞吐量。

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