基于OFDM的认知无线电混合功率分配方案研究

S. Malik, Adrish Banerjee
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引用次数: 5

摘要

本文研究了一种基于认知无线电的OFDM混合功率分配算法。在集中式功率分配方案中,有一个集中控制器,该控制器具有可用的频谱孔信息和每个认知用户的信道状态信息。然而,所涉及的开销非常高。在分散式电力分配方案中,每个认知用户根据本地信息将电力分配给不同的子载波,但与集中式方法相比,可实现的最大吞吐量较小。在本文中,我们提出了一种基于集中式控制器的混合方法,该方法不需要关于认知无线电和分布式控制器的瞬时信道增益的信息。我们表明,我们的混合方法的最大可实现传输速率非常接近集中功率分配的情况,充分了解瞬时信道增益,但大大降低了间接成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On hybrid power allocation scheme for OFDM based cognitive radio
In this paper we have considered a hybrid power allocation algorithm for OFDM based cognitive radio. In a centralized power allocation scheme there is a centralized controller that has information about available spectrum holes and each cognitive user's channel state information. However, the overhead involved is very high. In an de-centralized power allocation scheme each cognitive user allocates power to different subcarriers based on local information, however maximum achievable throughput is less compared to the centralized approach. In this paper we present a hybrid approach based on a centralized controller that does not require information about instantaneous channel gains of cognitive radio and distributed controllers. We show that maximum achievable transmission rate of our hybrid approach is very close to the case of centralized power allocation with full knowledge of instantaneous channel gains but at a substantially reduced overhead cost.
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