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2015 International Conference on Wireless Communications & Signal Processing (WCSP)最新文献

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Outage analysis of OFDM full Duplex relaying systems OFDM全双工中继系统的中断分析
Songqing Wang, Wendong Yang, W. Xu
This paper focuses on decode-and-forward (DF) OFDM full duplex relaying (FDR) systems with multiple relays, where residual loop interference is taken into account. Closed-form and high-SNR approximate expressions for the outage probability are derived. Simulations are carried out to validate the derived outage performance and compare the performance of OFDM FDR with that of OFDM half duplex relaying (HDR) systems.
本文主要研究考虑残环干扰的多中继OFDM全双工中继(FDR)系统。导出了中断概率的闭形式和高信噪比近似表达式。通过仿真验证了所推导的中断性能,并比较了OFDM FDR与OFDM半双工中继(HDR)系统的性能。
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引用次数: 2
A new method for target association using gridding association domain and template matching 提出了一种基于网格化关联域和模板匹配的目标关联新方法
Fan Meng, Tinghui Yin, Xue Ni, Zhaocui Huang, Hui Chen
The accuracy of target association is important to the stability and precision of track. Traditional target association methods are based on the trace, but these usually lead to fault correlation. This paper develops a new track association approach using gridding association domain and template matching. First, the 3 by 3 gridding association domains are founded by target as the center, and the radar data in domains are mapped to image of 0 to 255 gray grades. Then, the target feature parameters are detected by the image processing algorithm, and the template is established according to the historical characteristic parameters. Finally, target association is achieved by template matching. The experiment shows that the proposed approach has improved the accuracy of target association in the actual environment.
目标关联的准确性对航迹的稳定性和精度至关重要。传统的目标关联方法是基于轨迹的,但这些方法通常会导致故障关联。提出了一种基于网格化关联域和模板匹配的航迹关联方法。首先,以目标为中心建立3 × 3的网格化关联域,将域内雷达数据映射为0 ~ 255灰度等级的图像;然后,通过图像处理算法检测目标特征参数,并根据历史特征参数建立模板;最后,通过模板匹配实现目标关联。实验表明,该方法在实际环境中提高了目标关联的精度。
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引用次数: 0
Load-aware dynamic spectrum access in ultra-dense small cell networks 超密集小蜂窝网络中负载感知动态频谱接入
Junhong Chen, Zhan Gao, Qian Zhao
This article investigates the problem of distributed spectrum resource allocation in the ultra-dense small cell networks, which takes the different loads of small cell base stations (SBSs) into consideration. Here, we simplify the load as the number of active users served by a SBS. We formulate the problem of load-aware channel selection as a graphical game and propose a distributed learning algorithm to achieve stable solutions. With the proposed distributed learning algorithm, SBSs can not only select multiple channels according to their current loads, but also decide their preference to the licensed channels (which are licensed to the macro cells) and unlicensed channels, which contribute to mitigate the cross-tier and co-tier interference. The algorithm is proved to converge to Nash equilibria. Furthermore, the simulation results verify that our proposed learning algorithm can mitigate the cross-tier interference and co-tier interference.
本文研究了在考虑小蜂窝基站不同负载的情况下,超密集小蜂窝网络中的分布式频谱资源分配问题。在这里,我们将负载简化为SBS服务的活动用户数量。我们将负载感知信道选择问题表述为一个图形游戏,并提出了一种分布式学习算法来实现稳定的解决方案。采用分布式学习算法,SBSs不仅可以根据当前负载选择多个信道,而且可以决定它们对许可信道(被许可给宏单元)和未许可信道的偏好,从而有助于减轻跨层和协层干扰。证明了该算法收敛于纳什均衡。此外,仿真结果验证了我们提出的学习算法可以减轻跨层干扰和协层干扰。
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引用次数: 6
An SCMA-based uplink inter-cell interference cancellation technique for 5G wireless systems 基于scma的5G无线系统上行小区间干扰消除技术
Yi Li, Xianfu Lei, P. Fan, Dageng Chen
In future 5G wireless networks, inter-cell interference (ICI) is perceived as one of the most critical performance bottlenecks. Traditionally, the interference is treated as an additional source of noise, recent advances in information theory show that interference is not necessarily an opponent, but might be decoded and cancelled to obtain a larger capacity region. In this paper, a sparse code multiple access (SCMA) based uplink ICI cancellation technique is proposed to enhance the performance of the cell-edge users by jointly decoding the desired signal and the interference signal at the base stations. Unlike the orthogonal transmission schemes such as fractional frequency reuse in 4G, the proposed non-orthogonal SCMA-based scheme allows several cell-edge users to share the same time-frequency resource blocks (RBs). The sparse codewords are designed to make each user spread its data on a small set of RBs to achieve frequency and interference diversity, and make the near-optimal detection feasible with moderate complexity through iterative message passing algorithm (MPA). Then an open-loop MIMO transmission scheme which combines SCMA with Alamouti code is proposed to achieve full space-time-frequency diversity. Simulation results show that when there is no correlation among resource blocks and the antenna configuration is 1×1, the proposed SCMA-based scheme has about 2dB gain for uplink cell-edge users in multi-cell scenario compared with the FFR-based ICI coordination scheme in LTE networks. The gain becomes larger when combined with the existing MIMO technique. In addition, the SCMA-based scheme is also proved to be more robust to the burst interference.
在未来的5G无线网络中,小区间干扰(ICI)被认为是最关键的性能瓶颈之一。传统上,干扰被视为额外的噪声源,最近信息理论的进展表明,干扰不一定是对手,但可以解码和取消以获得更大的容量区域。本文提出了一种基于稀疏码多址(SCMA)的上行信道ICI对消技术,通过对基站的期望信号和干扰信号进行联合解码来提高蜂窝边缘用户的性能。与4G中的分数频率复用等正交传输方案不同,本文提出的基于非正交scma的方案允许多个蜂窝边缘用户共享相同的时频资源块(RBs)。稀疏码字的目的是使每个用户将其数据分散在一个小的RBs集合上,实现频率和干扰的分集,并通过迭代消息传递算法(MPA)使近最优检测在中等复杂度下可行。然后提出了一种将SCMA和Alamouti码相结合的开环MIMO传输方案,实现了完全的空时频分集。仿真结果表明,当资源块之间不存在相关性且天线配置为1×1时,与LTE网络中基于ffr的ICI协调方案相比,所提出的基于scma的多小区场景下上行小区边缘用户增益约为2dB。当与现有的MIMO技术结合使用时,增益会变得更大。此外,基于scma的方案对突发干扰具有更强的鲁棒性。
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引用次数: 9
Joint relay selection and channel allocation in cooperative communication: A game theoretic learning solution 合作通信中的联合中继选择与信道分配:一个博弈论学习解决方案
Cheng Ding, Liang Shen, Dianxiong Liu
This article investigates the issue of joint relay selection and channel allocation in LTE relay networks, where the available channels of each node are restricted and heterogeneous. We decompose the issue into two subproblems: one is the channel selection of relay to mitigate the interference among relay nodes and another is joint relay and channel selection of source node to maximize the total capacity. The first subproblem is formulated as a global interaction game and a learning algorithm is proposed to achieve the Nash equilibrium. Based on the result of the first subproblem, the second one is formulated as a congestion game with player-specific payoff function. We propose a distributed solution to maximize the total capacity. Simulation results show that our approach can obtain a large total capacity and a high fairness index.
本文研究了LTE中继网络中各节点可用信道受限且异构的联合中继选择和信道分配问题。我们将该问题分解为两个子问题:一个是中继的信道选择,以减轻中继节点之间的干扰;另一个是中继与源节点的联合信道选择,以最大限度地提高总容量。将第一个子问题表述为全局交互博弈,并提出了实现纳什均衡的学习算法。基于第一个子问题的结果,将第二个子问题表述为具有特定玩家收益函数的拥堵博弈。我们提出了一个分布式解决方案,以最大限度地提高总容量。仿真结果表明,该方法可以获得较大的总容量和较高的公平性指标。
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引用次数: 2
Pilot contamination reduction based on MSE performance of channel estimation 基于信道估计MSE性能的导频污染减少
Hairong Wang, Lihua Yang, Hongbo Zhu, Youhua Fu
We investigate channel estimation mean square error (MSE) performance in Massive multiple-input multiple-output (MIMO) system with pilot contamination. Different from the traditional MSE expressions, the expressions that we derived have algebraic form, which no longer need hard matrix inversion as M, the number of the base station antennas, increasing. From them, we also found that the average transmitted power and length of training sequence almost does not help in enhancing the performance of MSE as M → ∞. Based on this, a scheme to reduce pilot contamination in time division duplexing (TDD) cellular networks is proposed with simple cooperation among base stations. Numerical results finally verify our derivations and the proposed scheme.
研究了具有导频污染的大规模多输入多输出(MIMO)系统的信道估计均方误差(MSE)性能。与传统的均方误差表达式不同,我们推导的表达式具有代数形式,随着基站天线数量M的增加,不再需要进行硬矩阵反演。从中我们还发现,当M→∞时,训练序列的平均传输功率和平均长度几乎无助于MSE性能的提高。在此基础上,提出了一种通过基站间的简单合作来降低时分双工蜂窝网络导频污染的方案。最后的数值结果验证了我们的推导和所提出的方案。
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引用次数: 3
Energy-efficient joint BS-RS sleep scheduling based on cellular automata in relay-aided cellular networks 中继辅助蜂窝网络中基于元胞自动机的高效联合BS-RS睡眠调度
Qiong Zhang, Hongbin Chen, Feng Zhao
In this paper, a joint Base Station (BS) and Relay Station (RS) sleep scheduling algorithm is proposed for relay-aided cellular networks based on Cellular Automata (CA). By applying the self-organizing character of CA, the number of active BSs and RSs converges to a stable state to save energy. A suboptimal value of energy efficiency of the relay-aided cellular network is obtained via a CA algorithm. Furthermore, a branch and bound algorithm based on the denominator interval values of the objective function is developed to maximize energy efficiency under the spectral efficiency constraint. Convergence of the number of active BSs and RSs is demonstrated by numerical simulations, which shows effectiveness of the proposed branch and bound algorithm is superior to the random sleep scheme and the scheme without sleep scheduling.
提出了一种基于元胞自动机(CA)的中继辅助蜂窝网络基站(BS)和中继站(RS)联合睡眠调度算法。利用CA的自组织特性,有效的BSs和RSs的数量收敛到一个稳定的状态,从而节省了能量。通过CA算法获得了中继辅助蜂窝网络的次优能量效率值。在谱效率约束下,提出了一种基于目标函数分母区间值的分支定界算法,实现了能量效率的最大化。通过数值仿真验证了该算法的收敛性,表明该算法的有效性优于随机睡眠方案和无睡眠调度方案。
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引用次数: 2
Performance comparison of different transmission schemes in uplink massive MIMO systems with dual-antenna users 双天线下上行海量MIMO系统中不同传输方案的性能比较
Yuehao Zhou, C. Zhong, Zhaoyang Zhang
In this paper, we consider an uplink massive MIMO systems with dual-antenna users, and investigate the performance of several popular transmission schemes, such as orthogonal space-time block coding (OSTBC), transmit beamforming (TB) and transmit antenna selection (TAS). The achievable sum rate lower bound and asymptotic power scaling performance when M →∞ are presented, where M is the number of base station antennas. The analytical findings suggest that all the mentioned schemes achieve the same power scaling law as the system with only single-antenna users, indicating a rather pessimistic conclusion that using multiple antennas at the users does not bring much performance gain. Therefore, advanced transmission schemes shall be designed to fully exploit the additional spatial degrees offered by the multiple antenna users. Through simulation, we find that user scheduling is one of such promising techniques to further improve the system performance.
本文以具有双天线用户的上行海量MIMO系统为研究对象,研究了正交空时分组编码(OSTBC)、发射波束成形(TB)和发射天线选择(TAS)等几种常用传输方案的性能。给出了M→∞时可实现的和速率下界和渐近功率缩放性能,其中M为基站天线数。分析结果表明,上述所有方案都与仅使用单天线用户的系统实现了相同的功率缩放规律,这表明在用户处使用多天线不会带来太多性能增益的结论相当悲观。因此,设计先进的传输方案时应充分利用多天线用户提供的额外空间度。通过仿真,我们发现用户调度是一种很有前途的技术,可以进一步提高系统的性能。
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引用次数: 4
LFM hybrid-coding waveform design of MIMO SAR based on NSGA-II 基于NSGA-II的MIMO SAR LFM混合编码波形设计
Feng Liu, Shanxiang Mu, Wanghan Lv, Wenliang Li, Ting Ge, Li Li
The transmit signal with good performance is the precondition of the excellent multiple-input and multiple-output (MIMO) synthetic aperture radar (SAR). In order to obtain waveforms of MIMO SAR based on linear frequency modulation with higher tolerance of receiver noise, the improved non-dominated sorting genetic algorithm II (NSGA-II) with elite strategy is proposed. Application of orthogonal linear frequency modulation hybrid coding (LFMHC) signal to MIMO SAR is analyzed and waveform design is hence converted into multi-objective optimization problem. Objective function takes into account the signal-to-noise ratio (SNR) of the receiving signal after matched filtering. Orthogonal LFMHC waveform sets are designed. Comprehensive numerical simulation examples are performed. It is shown that the signal waveforms have more flexibility in encoding, with lower autocorrelation side-lobes and cross-correlation interference. They are desirable in separating targets and suppressing noise. The proposed method verifies the algorithm and enables MIMO SAR to operate efficiently in practical applications.
良好的发射信号性能是实现高性能多输入多输出合成孔径雷达(SAR)的前提。为了获得具有更高接收噪声容忍度的线性调频MIMO SAR波形,提出了基于精英策略的改进非支配排序遗传算法II (NSGA-II)。分析了正交线性调频混合编码(LFMHC)信号在MIMO SAR中的应用,将波形设计转化为多目标优化问题。目标函数考虑的是匹配滤波后接收信号的信噪比。设计了正交LFMHC波形集。进行了全面的数值模拟算例。结果表明,该方法具有较强的编码灵活性,具有较低的自相关旁瓣和互相关干扰。它们在分离目标和抑制噪声方面是理想的。该方法验证了算法的有效性,使MIMO SAR能够在实际应用中高效运行。
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引用次数: 1
Performance analysis of MIMO-COFDM under Rayleigh fading channel 瑞利衰落信道下MIMO-COFDM的性能分析
M Maksud Alam, Farabi Hasan Chadni, Saiful Ahmed Papon
OFDM is known to be one of the most promising technologies of present time for high performance and high speed data transmission systems. Moreover MIMO-OFDM proves to be even better in terms of better performance and a lower bit error rate (BER). In this paper, we discussed about MIMO Coded OFDM (MIMO-COFDM) where information data has been Reed-Muller coded and shown that the performance of the systems improve further. Simulation has been done for various channel constraints like additive white Gaussian noise (AWGN), AWGN with inter carrier interference (ICI) due to carrier frequency offset (CFO) and AWGN with ICI having Rayleigh fading environment.
OFDM是目前高性能、高速数据传输系统中最有前途的技术之一。此外,MIMO-OFDM被证明具有更好的性能和更低的误码率。在本文中,我们讨论了MIMO编码OFDM (MIMO- cofdm),其中信息数据已被Reed-Muller编码,并表明系统的性能进一步提高。对加性高斯白噪声(AWGN)、载波频偏(CFO)引起的载波间干扰(ICI)和具有瑞利衰落环境的载波间干扰的AWGN等信道约束进行了仿真。
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引用次数: 0
期刊
2015 International Conference on Wireless Communications & Signal Processing (WCSP)
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