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Resource allocation for chunk-based multi-carrier cognitive radio networks

机译:基于块的多载波认知无线电网络的资源分配

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In this paper, a downlink multi-carrier cognitive radio (CR) network is considered. The CR network consists of one cognitive base station (CBS) and a set of secondary users (SUs) sharing the same spectrum with the primary user (PU). Chunk-based resource allocation is adopted where subcarriers are grouped into chunks for allocation to the SUs. The problem of chunk-based resource allocation under the interference power constraint and the transmit power constraint is investigated. The objective is to maximize the sum rate of the SUs. For this, based on Lagrange dual method, a near-optimal joint chunk and power allocation scheme is proposed. The complexity of the optimal scheme is exponential in the number of chunks, while the complexity of the proposed scheme is reduced significantly to only linear in the number of chunks, and at the same time, it is shown that the proposed scheme achieves almost the same performance that can be achieved by the optimal scheme. The impacts of the interference power constraint, the transmit power constraint, number of subcarriers within the chunk and the channel coherence bandwidth on the performance of the proposed scheme are investigated. Particularly, it is shown that increasing the channel coherence bandwidth does not always lead to improvement of the SU performance.
机译:在本文中,考虑了下行链路多载波认知无线电(CR)网络。 CR网络由一个认知基站(CBS)和一组与主要用户(PU)共享相同频谱的辅助用户(SU)组成。采用基于块的资源分配,其中子载波被分组为块以分配给SU。研究了在干扰功率约束和发射功率约束下基于块的资源分配问题。目的是使SU的总和最大化。为此,基于拉格朗日对偶方法,提出了一种接近最优的联合组块和功率分配方案。最优方案的复杂度在块的数量上是指数的,而所提出的方案的复杂性在块的数量上显着降低到仅线性,并且同时,表明所提出的方案实现了几乎相同的通过最佳方案可以实现的性能。研究了干扰功率约束,发射功率约束,组块内子载波的数量以及信道相干带宽对所提出方案性能的影响。特别地,示出了增加信道相干带宽并不总是导致SU性能的提高。

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