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2014 11th International Symposium on Wireless Communications Systems (ISWCS)最新文献

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Iterative interference alignment in macrocell-femtocell networks: A cognitive radio approach 大蜂窝-飞蜂窝网络中的迭代干扰对准:一种认知无线电方法
Pub Date : 2014-10-23 DOI: 10.1109/ISWCS.2014.6933435
M. Rihan, M. Elsabrouty, O. Muta, Hiroshi Fumkawa
The deployment of femtocells in current and future communication systems promises an effective solution for limited indoor coverage problem and a possible gateway for mobile data offloading. In this paper, we cast a cognitive interference alignment approach (IA) suitable for heterogeneous cellular networks with a mixed macrocell and femtocell deployment Specifically, in our approach a restricted waterfilling (RWF) algorithm is used to maximize the downlink data rate, while reserving some eigenmodes for giving the femtocell basestations the opportunity to do their transmissions even at high signal-to-noise power ratio (SNR) for the macrocell basestation. Additionally, both the cross-tier and co-tier interference is to be aligned at each femtocell user's receiver using an Iterative Reweighted Least Squares(IRLS) algorithm. The simulation results show that the proposed IA approach provides an improved sum rate for the femtocell users, compared to the conventional IA techniques, like, the leakage minimization approach and the nuclear norm based rank constraint rank minimization approach.
在当前和未来的通信系统中部署飞蜂窝有望有效解决有限的室内覆盖问题,并可能成为移动数据卸载的网关。在本文中,我们提出了一种适用于大型蜂窝和移动蜂窝混合部署的异构蜂窝网络的认知干扰定位方法(IA)。具体来说,在我们的方法中,使用了一种限制充水(RWF)算法来最大化下行数据速率,同时保留了一些特征模式,使大型蜂窝基站即使在高信噪比(SNR)下也有机会进行传输。此外,交叉层和协层干扰都将使用迭代加权最小二乘(IRLS)算法在每个femtocell用户的接收器上对齐。仿真结果表明,与泄漏最小化方法和基于核范数的秩约束秩最小化方法等传统的秩约束最小化方法相比,所提出的秩约束最小化方法为飞基站用户提供了更高的和速率。
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引用次数: 15
Subset relay selection in wireless cooperative networks using sparsity-inducing norms 基于稀疏性诱导规范的无线协作网络子集中继选择
Pub Date : 2014-10-23 DOI: 10.1109/ISWCS.2014.6933405
L. Blanco, M. Nájar
This paper addresses the problem of multiple relay selection in a two-hop wireless cooperative network. In particular, the proposed technique selects the best subset of relays, in a distributed beamforming scheme, which maximizes the signal-to-noise ratio at the destination node subject to individual power constraints at the relays. The selection of the best subset of K relays out of a set of N potential relay nodes, under individual power constraints, is a hard combinatorial problem with a high computational burden. The approach considered herein consists in relaxing this problem into a convex one by considering a sparsity-inducing norm. The method exposed in this paper is based on the knowledge of the second-order statistics of the channels and achieves a near-optimal performance with a computational burden which is far less than the one needed in the combinatorial search. Furthermore, in the proposed technique, contrary to other approaches in the literature, the relays are not limited to cooperate with full power.
研究了两跳无线合作网络中的多中继选择问题。特别是,该技术在分布式波束形成方案中选择中继的最佳子集,该子集在中继的单个功率约束下最大化目标节点的信噪比。在单个功率约束下,从N个潜在继电器节点中选择K个继电器的最佳子集是一个计算量大的难组合问题。本文考虑的方法是通过考虑稀疏性诱导范数将该问题放宽为凸问题。本文提出的方法基于信道二阶统计量的知识,在计算量远小于组合搜索的情况下获得了接近最优的性能。此外,在所提出的技术中,与文献中的其他方法相反,继电器不限于与全功率合作。
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引用次数: 6
Approximate ML detector for MIMO channels in unknown spatio-temporal colored noise with Kronecker product correlation 基于Kronecker积相关的未知时空彩色噪声中MIMO信道的近似ML检测器
Pub Date : 2014-10-23 DOI: 10.1109/ISWCS.2014.6933357
Stanislav D. Markus, E. A. Mavrychev
In this paper a new maximum likelihood (ML) based detector for multi-input multi-output (MIMO) channels in spatio-temporal colored noise fields is proposed. It is assumed a Kronecker model of spatio-temporal correlation of noise. Approximate ML (AML) detection algorithm of MIMO channels is considered for two cases: known noise correlation matrix and unknown noise correlation matrix. The ML decoder for the case of unknown correlation matrix is developed based on iterative procedure with successive estimation of symbols, spatial correlation matrix and temporal correlation matrix. The proposed method uses the Kronecker structure of spatio-temporal correlation matrix. Effectiveness of the proposed technique is confirmed by simulation results.
本文提出了一种新的基于极大似然的多输入多输出(MIMO)信道时空彩色噪声检测方法。假设噪声的时空相关性为Kronecker模型。针对已知噪声相关矩阵和未知噪声相关矩阵两种情况,研究了MIMO信道的近似ML (AML)检测算法。基于符号、空间相关矩阵和时间相关矩阵逐次估计的迭代过程,开发了未知相关矩阵的ML解码器。该方法采用时空相关矩阵的Kronecker结构。仿真结果验证了该方法的有效性。
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引用次数: 1
A powerful and real time PAPR reduction process for energy efficiency improvement in OFDM communication systems 一个强大的和实时的PAPR降低过程的能源效率提高OFDM通信系统
Pub Date : 2014-10-23 DOI: 10.1109/ISWCS.2014.6933339
M. Lanoiselée, Hao Lin
The PAPR issue has been identified as an important drawback of OFDM systems, which leads to a low energy efficiency in transmission. To overcome it, many PAPR reduction techniques have been studied; in this paper we propose a new method that provides already excellent results regards to state of the art and has also a high degree of flexibility for hardware implementation. This method relies on a Pre Constructed Temporal Signal algorithm, which can reduce the PAPR of an OFDM symbol by modifying the mapping of the subcarriers in a generalized manner. This process can be applied for current standards without any implementation difficulties for FFT sizes up to 8K; it could also be applied without any signal disturbance for future standards using any constellation orders.
PAPR问题已被确定为OFDM系统的一个重要缺点,它导致传输的能量效率低。为了克服它,研究了许多减少PAPR的技术;在本文中,我们提出了一种新的方法,它提供了关于艺术状态的优秀结果,并且在硬件实现方面也具有高度的灵活性。该方法基于一种预构造时间信号算法,该算法通过广义地修改子载波的映射来降低OFDM符号的PAPR。这个过程可以应用于目前的标准,对于FFT大小高达8K没有任何实施困难;它还可以在没有任何信号干扰的情况下应用于未来使用任何星座顺序的标准。
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引用次数: 1
Slicing the next mobile packet core network 切片下一个移动分组核心网
Pub Date : 2014-10-23 DOI: 10.1109/ISWCS.2014.6933481
Van-Giang Nguyen, Young Han Kim
The mobile network plays an important role in the evolution of humanity and society. However, due to the increase of users as well as of mobile applications, the current mobile network architecture faces many challenges. In this paper we describe V-Core, a new architecture for the mobile packet core network which is based on Software Defined Networking and Network Function Virtualization. Then, we introduce a MobileVisor which is a machine to slice the above mobile packet core network into different control platforms according to either different mobile operators or different technologies (e.g. 3G or 4G). With our architecture, the mobile network operators can reduce their costs for deployment and operation as well as use network resources efficiently.
移动网络在人类和社会的发展中起着重要的作用。然而,由于用户的增加和移动应用的增加,当前的移动网络架构面临着许多挑战。本文介绍了一种基于软件定义网络和网络功能虚拟化的移动分组核心网新体系结构——V-Core。然后,我们介绍了一种MobileVisor,它是一种根据不同的移动运营商或不同的技术(例如3G或4G)将上述移动分组核心网切割成不同的控制平台的机器。通过我们的架构,移动网络运营商可以降低部署和运营成本,并有效地利用网络资源。
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引用次数: 41
Energy-aware resource allocation with energy harvesting in heterogeneous wireless network 异构无线网络中基于能量收集的能量感知资源分配
Pub Date : 2014-10-23 DOI: 10.1109/ISWCS.2014.6933456
Jianyuan Feng, Meng Yinxia, Pingyang Wang, Xing Zhang, Wenbo Wang
Energy harvesting is becoming a promising technology for future wireless communication network for its potential of saving nonrenewable energy and making the communication environmentally friendly. However, due to the unpredictable and intermittent nature of energy source, the road to the communication system powered solely by harvested energy is plagued with potholes. In this paper, we consider a heterogeneous network consisting of one macro base station (BS) powered with power grid and one small BS powered by both harvested and grid energy over a given time period (e.g. 24 hours), using statistical information of harvested energy. Then we study the resource allocation problem to minimize the power grid input while satisfying users' quality of service (outage probability) requirements, where dynamic programming (DP) algorithm is proposed to analyze the outage probability and solve the problem. The simulation results show that the DP algorithm can greatly reduce the grid power consumption compared with current heuristic methods. There is also an interesting observation of our results that the amount of harvested energy have no impact on the optimum resource allocation strategies.
能量收集以其节约不可再生能源和实现通信环境友好化的潜力,正成为未来无线通信网络的一项有前途的技术。然而,由于能源的不可预测性和间歇性,仅靠收集的能源供电的通信系统之路充满了坑坑洼洼。在本文中,我们考虑了一个异构网络,包括一个由电网供电的宏观基站(BS)和一个在给定时间段内(例如24小时)由收获能量和电网能量同时供电的小型基站(BS),并使用收获能量的统计信息。在此基础上,研究了在满足用户服务质量(停电概率)要求的前提下最小化电网输入的资源分配问题,提出了动态规划(DP)算法来分析停电概率并求解该问题。仿真结果表明,与现有的启发式算法相比,该算法能显著降低电网功耗。对我们的研究结果还有一个有趣的观察,即收获的能源数量对最佳资源分配策略没有影响。
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引用次数: 9
Investigation of filter bank based device-to-device communication integrated into OFDMA cellular system OFDMA蜂窝系统中基于滤波器组的设备对设备通信研究
Pub Date : 2014-10-23 DOI: 10.1109/ISWCS.2014.6933408
Hongnian Xing, M. Renfors
Device-to-Device communication has been a hot research topic in the recent years. Among different D2D use cases, the integration of D2D and conventional cellular network is one of the most attractive schemes. This approach has been investigated in recent academic and standardization studies, since such a combination improves the efficiency of the overall system in both resource and power domains. It also improves the coverage of the cellular network and improves the cell edge performance. In this paper, such a system combining D2D and OFDMA/SC-FDMA based cellular network is investigated. The D2D integrated OFDMA system performance is investigated, emphasizing the interference analysis. Besides, a filter bank based multicarrier (FBMC) scheme is introduced for the D2D integrated system for the purpose of interference reduction.
设备间通信是近年来的一个研究热点。在不同的D2D用例中,D2D与传统蜂窝网络的融合是最具吸引力的方案之一。这种方法已经在最近的学术和标准化研究中进行了调查,因为这种组合提高了资源和权力领域中整个系统的效率。它还提高了蜂窝网络的覆盖范围,提高了蜂窝边缘性能。本文研究了D2D与基于OFDMA/SC-FDMA的蜂窝网络相结合的系统。研究了D2D集成OFDMA系统的性能,重点研究了干扰分析。此外,本文还提出了一种基于滤波器组的多载波(FBMC)方案,用于D2D集成系统的抗干扰。
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引用次数: 11
Power loading and spectral efficiency comparison of MIMO OFDM/FBMC for interference alignment based cognitive radio systems 基于干扰对准的认知无线电系统中MIMO OFDM/FBMC的功率负荷和频谱效率比较
Pub Date : 2014-10-23 DOI: 10.1109/ISWCS.2014.6933401
M. El-Absi, M. Shaat, F. Bader, T. Kaiser
Interference alignment (IA) has been proposed to optimally manage the interference aiming at providing the maximum degrees of freedom for multiuser interference channels. Therefore, IA has been used in cognitive radio (CR) systems to perform resource management in order to improve the throughput of the OFDM/FBMC based MIMO CR systems. In this work, a sub-optimal IA based power loading method is proposed for OFDM/FBMC based MIMO CR systems to approach the optimal approach with fewer complexity. In the proposed algorithm, all secondary users are enabled to share the available spectrum on the base of IA technique without affecting the quality-of-service of the primary system. Furthermore, spectral efficiency comparison between MIMO-OFDM and MIMO-FBMC is presented. Simulation results show that IA based power loading achieves a significant sum-rate increase of CR systems compared to traditional orthogonal multiple access techniques. Additionally, IA based power loading achieves better sum-rate improvement with FBMC than OFDM physical layer.
为了给多用户干扰信道提供最大的自由度,提出了干扰对准(IA)来优化干扰管理。因此,为了提高基于OFDM/FBMC的MIMO CR系统的吞吐量,在认知无线电(CR)系统中使用IA进行资源管理。针对基于OFDM/FBMC的MIMO CR系统,提出了一种基于次最优IA的功率加载方法,以较低的复杂度接近最优方法。该算法在不影响主系统服务质量的前提下,利用IA技术使所有备用用户共享可用频谱。此外,还比较了MIMO-OFDM和MIMO-FBMC的频谱效率。仿真结果表明,与传统的正交多址技术相比,基于IA的功率加载实现了CR系统和速率的显著提高。此外,与OFDM物理层相比,基于IA的功率加载在FBMC中获得了更好的和速率提升。
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引用次数: 5
An efficient clustering approach using genetic algorithm and node mobility in wireless sensor networks 基于遗传算法和节点移动性的无线传感器网络高效聚类方法
Pub Date : 2014-10-23 DOI: 10.1109/ISWCS.2014.6933473
O. Banimelhem, M. Mowafi, E. Taqieddin, F. Awad, Manar Al Rawabdeh
Node clustering in wireless sensor networks helps in extending the network life time by reducing the nodes' communication energy and balancing their remaining energy. This paper presents a new genetic-based approach that improves the performance of the LEACH clustering protocol used in wireless sensor networks. The proposed approach utilizes the mobility feature of sensor nodes in order to reduce the communication distances between the cluster heads and the base station. In each round, new locations of the cluster heads are determined using a genetic algorithm. The simulation results demonstrate that the proposed approach outperforms LEACH in terms of network lifetime and average remaining energy.
无线传感器网络中的节点聚类通过减少节点间的通信能量,平衡节点间的剩余能量,从而延长网络寿命。本文提出了一种新的基于遗传的方法,提高了无线传感器网络中LEACH聚类协议的性能。该方法利用传感器节点的移动性特征来缩短簇头与基站之间的通信距离。在每一轮中,簇头的新位置使用遗传算法确定。仿真结果表明,该方法在网络寿命和平均剩余能量方面优于LEACH。
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引用次数: 19
Neighbor-friendly autonomous algorithm for power spectrum allocation in OFDM networks OFDM网络中功率谱分配的邻居友好自治算法
Pub Date : 2014-10-23 DOI: 10.1109/ISWCS.2014.6933492
R. T. Duran, Paschalis Tsiaflakis, L. Vandendorpe, M. Moonen
To cope with the dramatic increase in mobile data traffic, the widespread deployment of base stations constitutes a promising solution. However, it also causes high levels of interference, especially at the cell-edges. Most interference management techniques assume coordination between base stations, which involves undesired overhead and delays. To tackle this problem, we propose a neighbor-friendly autonomous algorithm for power spectrum allocation in wireless OFDM networks that protects victim users from neighboring cells through a penalty factor in the power allocation level. We refer to it as the neighbor-friendly iterative waterfilling (NF-IWF) algorithm. In high interference scenarios, it can achieve a victim user data rate increase by a factor of 3.5 compared to IWF and 60 compared to equal power allocation with a marginal decrease of the primary user data rate.
为了应对移动数据流量的急剧增加,基站的广泛部署构成了一个有希望的解决方案。然而,它也会造成高水平的干扰,尤其是在蜂窝的边缘。大多数干扰管理技术都假定基站之间是协调的,这就涉及到不必要的开销和延迟。为了解决这一问题,我们提出了一种邻居友好的无线OFDM网络功率谱分配自治算法,该算法通过功率分配级别的惩罚因子来保护受害用户免受相邻小区的干扰。我们将其称为近邻友好迭代注水算法(NF-IWF)。在高干扰情况下,与IWF相比,它可以实现受害者用户数据速率提高3.5倍,与同等功率分配相比提高60倍,而主用户数据速率略有下降。
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引用次数: 0
期刊
2014 11th International Symposium on Wireless Communications Systems (ISWCS)
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