Power allocation for OFDM-based cognitive heterogeneous networks

Fei, Zesong; Xing, Chengwen; Li, Na; Han, Yantao; Danev, Danyo; Kuang, Jingming

doi:10.1007/s11432-013-4807-8

Cited by 10 publications

(7 citation statements)

References 15 publications

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“…Due to its high-speed data rate, orthogonal frequency division multiplexing (OFDM) [1,2] has been widely applied to the 4G mobile communication system, Wi-Fi, and some military communication systems [3][4][5][6][7]. However, its signals may have high peak-to-average power ratio (PAPR).…”

Section: Introductionmentioning

confidence: 99%

A CCM‐Based OFDM System with Low PAPR for Sparse Source

Yang

Wang

Huang

2018

Wireless Communications and Mobile Computing

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Orthogonal frequency division multiplexing (OFDM) usually suffers high peak-to-average power ratio (PAPR). As shown in this paper, PAPR becomes even severe for sparse source due to many identical nonzero frequency OFDM symbols. Thus, this paper introduces compressive coded modulation (CCM) in order to restrain PAPR by reducing identical nonzero frequency symbols for sparse source. As a result, the proposed CCM-based OFDM system, together with iterative clipping and filtering, can efficiently restrain the high PAPR for sparse source. Simulation results show that it outperforms about 4 dB over the traditional OFDM system when source sparsity is 0.1.

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Section: Introductionmentioning

confidence: 99%

A CCM‐Based OFDM System with Low PAPR for Sparse Source

Yang

Wang

Huang

2018

Wireless Communications and Mobile Computing

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“…There are many researches in this area. The authors in [20] aim to solve cognitive radio (CR) orthogonal frequency division multiple access (OFDMA)-based HetNet to maximize the picocell capacity and effectively control the mutual intercarrier interference between the CR users and the primary users. A theoretic approach was adopted to analyze the performance of cell selection with RE in the two-tier HetNet system is proposed in [21].…”

Section: Introductionmentioning

confidence: 99%

An energy minimization algorithm based on distributed dynamic clustering for long term evolution (LTE) heterogeneous networks

Tong

Ding

Pan

et al. 2015

Sci. China Inf. Sci.

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Energy saving has become an important issue in wireless communications from both environment and economic considerations. In this paper, an energy minimization algorithm based on distributed dynamic clustering (DDCEM) with lower complexity, higher performance, and better adaptability for heterogeneous network (HetNet) is proposed. A HetNet could be divided into several clusters, which is defined as one group of a network node and users served by the node. A energy efficient user association, which dynamically changes according to real-time energy efficiency (EE) evaluation with traffic load and location distribution of each cluster, can be employed to save consumed energy. Then, the optimal sleeping relay is found as follows. First, the sleeping probability cost of each relay station (RS) is computed and ranked based on the user traffic and the position distribution of each cluster, and the relay with minimum sleeping probability is selected to be switched off. Hence, the sleep node is selected taking into account the traffic load and location of the Evolved Node B (eNB) and all the RSs. The complexity of the algorithm is greatly reduced because the user association operation and network load evaluation are fulfilled cluster by cluster. Simulation results show that the proposed DDCEM strategy offers EE gain with low system complexity.

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“…A large number of resource allocation schemes have been proposed in the literature. In [4][5][6], the authors propose the centralized approaches to maximize the sum-rate in heterogeneous macro-femto networks. In [7][8][9], the authors utilize dynamic and distributed methods to maximize the sum-rate and the sum-utility in femtocell networks, by employing a joint optimization of power and subchannel allocation.…”

Section: Introductionmentioning

confidence: 99%