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Simultaneous spectrum sensing, data transmission and Energy harvesting in multi‐channel cognitive sensor Networks with imperfect signal cancellation
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-07-02 , DOI: 10.1002/dac.4528 Maryam Najimi 1
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-07-02 , DOI: 10.1002/dac.4528 Maryam Najimi 1
Affiliation
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In multichannel cognitive sensor networks, the sensor users which have limited energy budgets sense the spectrum to determine the activity of the primary user. If the spectrum is idle, the sensor user can access the licensed spectrum. However, during the spectrum sensing, no data transmits. For improving the network throughput and saving more energy consumption, we propose the simultaneous spectrum sensing and data transmission scheme where the sensor receiver decodes the received signal, and from the remaining signal, the status of the channel (idle/busy) is determined. We also consider that the sensor users are powered by a radio‐frequency (RF) energy harvester. In this case, energy harvesting, data transmission, and spectrum sensing are done simultaneously. On the other hand, we select the proper sensor users for spectrum sensing and energy harvesting. We also allocate the best channels for data transmission simultaneously so that the network throughput maximizes and the constraints on the energy consumption and the detection performance are satisfied for each band. We formulate the problem and model it as a coalition game in which sensors act as game players and decide to make coalitions. Each coalition selects one of the channels to sense and transmit data, while the necessary detection probability and false alarm probability and also the energy consumption constraints are satisfied. The utility function of a coalition is proposed based on the energy consumption, false alarm probability, detection probability, and the network throughput. This paper proposes an efficient algorithm to reach a Nash‐stable coalition structure. It is demonstrated that the proposed method maximizes the network throughput and reduces the energy consumption while it provides sufficient detection quality, in comparison to other existent methods.
中文翻译：
具有不完美信号消除功能的多通道认知传感器网络中的同时频谱感测，数据传输和能量收集
在多通道认知传感器网络中，能源预算有限的传感器用户会感知频谱以确定主要用户的活动。如果频谱空闲，则传感器用户可以访问许可的频谱。但是，在频谱感测期间，没有数据传输。为了提高网络吞吐量并节省更多的能源消耗，我们提出了同时频谱感测和数据传输方案，其中传感器接收器对接收到的信号进行解码，并根据剩余信号确定信道的状态（空闲/忙碌）。我们还认为传感器用户由射频（RF）能量收集器供电。在这种情况下，能量采集，数据传输和频谱感测将同时进行。另一方面，我们选择合适的传感器用户进行频谱感测和能量收集。我们还同时分配了用于数据传输的最佳通道，以使网络吞吐量最大化，并满足每个频段对能耗和检测性能的约束。我们制定问题并将其建模为联盟游戏，其中传感器充当游戏者并决定建立联盟。每个联盟选择一个通道来感测和传输数据，同时满足必要的检测概率和错误警报概率以及能耗约束。根据能耗，虚警概率，检测概率和网络吞吐量，提出了联盟的效用函数。本文提出了一种有效的算法来达到纳什稳定的联盟结构。结果表明，与其他现有方法相比，该方法可最大程度地提高网络吞吐量并降低能耗，同时提供足够的检测质量。
更新日期：2020-07-02
中文翻译：
具有不完美信号消除功能的多通道认知传感器网络中的同时频谱感测，数据传输和能量收集
在多通道认知传感器网络中，能源预算有限的传感器用户会感知频谱以确定主要用户的活动。如果频谱空闲，则传感器用户可以访问许可的频谱。但是，在频谱感测期间，没有数据传输。为了提高网络吞吐量并节省更多的能源消耗，我们提出了同时频谱感测和数据传输方案，其中传感器接收器对接收到的信号进行解码，并根据剩余信号确定信道的状态（空闲/忙碌）。我们还认为传感器用户由射频（RF）能量收集器供电。在这种情况下，能量采集，数据传输和频谱感测将同时进行。另一方面，我们选择合适的传感器用户进行频谱感测和能量收集。我们还同时分配了用于数据传输的最佳通道，以使网络吞吐量最大化，并满足每个频段对能耗和检测性能的约束。我们制定问题并将其建模为联盟游戏，其中传感器充当游戏者并决定建立联盟。每个联盟选择一个通道来感测和传输数据，同时满足必要的检测概率和错误警报概率以及能耗约束。根据能耗，虚警概率，检测概率和网络吞吐量，提出了联盟的效用函数。本文提出了一种有效的算法来达到纳什稳定的联盟结构。结果表明，与其他现有方法相比，该方法可最大程度地提高网络吞吐量并降低能耗，同时提供足够的检测质量。
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