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Online Transmission Policies for Cognitive Radio Networks with Energy Harvesting Secondary Users

机译:具有辅助能量收集功能的认知无线电网络的在线传输策略

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In this paper, we consider a cognitive radio network with energy harvesting secondary users and orthogonal channels for the primary users. Secondary users have finite capacity batteries to store harvested energy for future use. Secondary users can use the primary users' channel and transmit their data if the channel is not occupied by the primary user. We define an instantaneous reward for the secondary users which is equal to the throughput if the channel is available. Otherwise, we assign a negative reward to the secondary user as a penalty. We formulate the long term average reward maximization problem for each secondary user. We extend the fixed fraction policy in [1] to our setup and show that it yields near optimal performance. We derive an upper bound on the long term average reward, as well as additive and multiplicative lower bounds. We observe that, for energy arrivals that are frequent and when secondary users have several channel options to choose from, the secondary users are better off spending all available energy immediately, i.e., a greedy policy is a better choice whereas the fixed fraction policy is better when the energy arrivals are scarce.
机译:在本文中,我们考虑一个认知无线电网络,该网络具有能量收集次要用户和主要用户的正交信道。二级用户使用容量有限的电池来存储收集的能量以备将来使用。如果主要用户未占用该通道,则次要用户可以使用主要用户的频道并传输其数据。我们为辅助用户定义了一个瞬时奖励,如果该信道可用,则该奖励等于吞吐量。否则,我们会向次要用户分配负面奖励作为罚款。我们为每个二级用户制定了长期平均奖励最大化问题。我们将[1]中的固定分数策略扩展到我们的设置,并显示它产生了接近最佳的性能。我们得出长期平均奖励的上限,以及相加和相乘的下限。我们观察到,对于频繁到达的能源,并且当次要用户有多个通道选项可供选择时,次要用户最好立即花费所有可用能量,即,贪婪策略是更好的选择,而固定分数策略则更好。当能量的到来是稀缺的。

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