共查询到20条相似文献，搜索用时 15 毫秒
1.
Jiyong Pang Jiandong Li Shan Jin 《International Journal of Communication Systems》2009,22(11):1355-1376
The behavior of training‐based multiple‐input multiple‐output wireless communications over correlated channels is studied in the low signal‐to‐noise ratio (SNR) regime from an energy efficiency perspective. To start with, a relaxed but analytically more tractable capacity lower bound is derived where the impacts of channel spatial correlation are considered simply through the ranks of correlation matrices. It shows that, different from the independent and identically distributed case, the optimal training length no longer equals the number of transmit antennas but is just the same as the rank of transmit correlation matrix. Next, the bit energy requirements are analyzed based on the derived capacity lower bound. It shows that the minimum bit energy required for reliable communication is achieved at a nonzero SNR value below, which the bit energy grows to infinity with a zero‐approaching wideband slope. Flash training and transmission scheme is also studied and shown to improve the energy efficiency. In addition, the impacts of spatial correlation, channel coherence interval and antenna number on the energy efficiency are analyzed. It shows that stronger spatial correlation leads to less bit energy, i.e. higher‐energy efficiency. The minimum bit energy is achieved at lower SNR in a more correlated channel. Spatial correlation also helps to reduce the signal peakiness in the flash scheme. And larger coherence interval always improves energy efficiency at all SNR. Finally, the validity of the proposed results is verified by numerical simulations. Copyright © 2009 John Wiley & Sons, Ltd. 相似文献
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Ming Kang Lin Yang Mohamed‐Slim Alouini 《Wireless Communications and Mobile Computing》2007,7(1):113-125
This paper presents analytical results on the capacity of multiple‐input‐multiple‐output (MIMO) fading channels in the presence of co‐channel interference (CCI). We consider the scenario in which the desired and CCI users are all subject to Rayleigh fading. We assume that channel realizations of both the desired and CCI users are known at the receiver. Moreover, we consider the case where the transmitter does not have any CSI and as such equal‐power allocation among transmit antennas is used. Given this setup, we derive the moment generating function (MGF) and the mean of the mutual information (MI). We then study the complementary cumulative distribution function of the MI using a Gaussian approximation. Finally, we present and discuss numerical examples to illustrate the mathematical formalism and to show the effect of various parameters on the capacity of MIMO channels in the presence of CCI. Copyright © 2006 John Wiley & Sons, Ltd. 相似文献
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为使能量效率最大化,采用随机几何方法对多小区多用户MIMO蜂窝网络的上行链路进行建模,改进系统功耗模型,得到一个关于基站密度、发送信号功率、基站天线数、小区用户数以及导频复用因子的能量效率最大化问题.求解该问题,可得到最优的网络部署方案以及各最优参数与硬件特性、传播环境之间的关系.仿真与数值计算结果显示,超密集网络部署可以显著提高能量效率,但是随着基站密度的进一步增加,能量效率的提升很快饱和.更有趣的是,能量效率最优化所确定的部署方案恰为大规模MIMO情形. 相似文献
4.
Young‐Seo Park Sunghun Lee Kwon‐Hyeon Kim Sei‐Yong Kim Jeong‐Hwan Lee Jang‐Joo Kim 《Advanced functional materials》2013,23(39):4914-4920
Phosphorescent organic light‐emitting diodes (OLEDs) with ultimate efficiency in terms of the external quantum efficiency (EQE), driving voltage, and efficiency roll‐off are reported, making use of an exciplex‐forming co‐host. This exciplex‐forming co‐host system enables efficient singlet and triplet energy transfers from the host exciplex to the phosphorescent dopant because the singlet and triplet energies of the exciplex are almost identical. In addition, the system has low probability of direct trapping of charges at the dopant molecules and no charge‐injection barrier from the charge‐transport layers to the emitting layer. By combining all these factors, the OLEDs achieve a low turn‐on voltage of 2.4 V, a very high EQE of 29.1% and a very high power efficiency of 124 lm W?1. In addition, the OLEDs achieve an extremely low efficiency roll‐off. The EQE of the optimized OLED is maintained at more than 27.8%, up to 10 000 cd m?2. 相似文献
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Young‐Seo Park Sunghun Lee Kwon‐Hyeon Kim Sei‐Yong Kim Jeong‐Hwan Lee Jang‐Joo Kim 《Advanced functional materials》2013,23(39):4913-4913
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Chunlong He Bin Sheng Xiaohu You 《International Journal of Communication Systems》2014,27(11):3339-3351
This paper investigates an energy efficient optimization scheme for the downlink multiuser OFDM‐distributed antenna systems. We adopt a multicriteria optimization method to offer a systematic study on the relationship between spectral efficiency (SE) and energy efficiency (EE). First, we transform the energy efficient optimization problem with high complexity into a simpler downlink multiuser OFDM problem. Then, using the weighted sum method in multicriteria optimization, an optimal energy efficient scheme is presented to allocate the available power to balance the trade‐off between SE and EE efficiently. Simulation results demonstrate that the energy efficient scheme is effective, and there existed a trade‐off between SE and EE in the downlink multiuser OFDM‐distributed antenna systems. Copyright © 2013 John Wiley & Sons, Ltd. 相似文献
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针对在接收端采用混合精度的数模转换器（analog-to-digitalconverter,ADC）的大规模MIMO系统上行链路,提出一种能效优化算法。在采用最大比合并（maximumratiocombining,MRC）检测算法的基础上,推导得到系统上行链路能效的近似闭式表达式。首先确定高精度ADC的占比率,再以低分辨率ADC的量化精度、用户的发射功率和基站端天线数为优化目标的3个变量进行交替迭代得出最优的能效值;并进一步通过调整高精度ADC的占比率分析其对能效和频效的影响。仿真结果表明,所提算法具有较高的能效值,并且可以通过调整占比率实现能效与频效更好地折中。 相似文献
9.
为了提高能源使用效率,能量效率（EE）是绿色无线通信研究的主要内容。为了有效提高多天线传输系统的能源使用效率,提出了一种基于能量效率优化的广义空域调制（GSM）系统（EE-GSM）。该系统基于最大化能量效率准则,考虑发射天线数较多的情况,首先利用天线选择算法（AS）确定最佳发射天线子集,然后计算适合广义空域调制系统的有效射频通道(RFC)数,从而实现全局能量效率优化设计。仿真结果和分析表明,与传统的AS-MIMO、GSM及SM系统相比,新系统能有效地提高能量效率,并且改善了系统的误码率和容量性能,同时系统最终所需的有效射频通道数一般为2,3或4个,符合绿色通信系统设计原则。 相似文献
10.
针对矿井巷道的特殊环境以及无线通信问题,通过MIMO系统和分布式天线系统,建立了井下分布式MIMO信道模型。仿真结果表明,分布式MIMO系统具有更高的信道容量。基于分布式天线的灵活设置,分布式MIMO系统既提高了频谱利用率又减少了信号盲区,最终扩大了井下信号覆盖范围,提高了整个系统的信道容量。 相似文献
11.
姚键 《电信工程技术与标准化》2018,(6)
分布式MIMO（D-MIMO）是一种解决未来超密集组网高干扰问题的技术方案,通过将干扰源转变为有用信号源,降低重叠覆盖区域干扰,提高用户体验,有利构建无边界用户体验的网络。本文对D-MIMO进行了基本原理及关键技术分析,对该技术的性能增益进行了仿真与外场测试研究.同时,结合技术优势与劣势、投资、现网需求分析,提出了该技术的规划应用思路与建议。 相似文献
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H. Cui Y. Yu Q. Zhong H. Zhang 《International Journal of Communication Systems》2014,27(11):3096-3106
This paper presents an adaptive power pricing scheme to address the fairness issue with relay selection and power allocation in decode‐and‐forward‐based opportunistic relaying networks, which is focused on the scenario where a distributed energy‐constrained cooperative communication system is employed over Rayleigh fading channels. Specifically, the proposed scheme is conducted analytically by obtaining the mathematical expression for the symbol error probability using the statistical characteristic of the signal‐to‐noise ratio, and it also takes the residual energy of nodes into consideration. Numerical results show that the proposed scheme has the advantage of better system reliability and further improves the throughput of the whole network compared with previous algorithms without considering fairness. Copyright © 2013 John Wiley & Sons, Ltd. 相似文献
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Sasan Khoshroo Honggang Wang Liudong Xing Dayalan Kasilingam 《Wireless Communications and Mobile Computing》2015,15(2):389-400
Wireless sensor networks (WSNs) have found a wide variety of applications recently. However, the challenges in WSNs still remain in improving the sensor energy efficiency and information quality (distortion reduction) of the sensing data transmissions. In this paper, we propose a novel cross‐layer design of resource allocation and channel coding to protect distributed source coding (DSC)‐based data transmission. Resource allocation strategies include rate adaptation and automatic repeat‐request retransmissions. Our proposed joint design of resource allocation, channel coding, and DSC can improve the network energy efficiency and information quality while meeting the data transmission latency requirements. Further, we investigate how the resource allocation enables the network to achieve unequal error protection among correlated DSC streams. Our simulation studies demonstrate that the proposed joint design significantly improves the DSC‐based data transmission quality and the network energy efficiency. Copyright © 2013 John Wiley & Sons, Ltd. 相似文献
15.
Charanjeet Singh Parasuram Chandrasekaran Kishoreraja 《International Journal of Communication Systems》2023,36(1):e5366
Massive multiple input multiple output (M-MIMO) methods make reference to a useful method for using multipath propagation to communicate and receive multiple data signals at once over a single radio channel. To simultaneously transfer numerous data streams, it makes use of various antennas. The quantity of power used grows as the quantity of antennas rises. As a result, choosing the best transmit antennas, which is a major difficulty in M-MIMO systems, becomes important. In this research, “Hybrid Sea Lion-Whale Algorithm (HS-WA)” is introduced by choosing a best transmit antenna while taking into account several objectives. This method optimizes overall capacity and efficiency. The chosen method combines the “Whale Optimization Algorithm (WOA) and Sea Lion Optimization Algorithm (SLnO)” that determines which antenna should be chosen while also optimizing the antenna quantity. Finally, energy efficiency (EE) and capacity analysis results demonstrate that the provided approach is superior to all other models. 相似文献
16.
Wireless sensor network is becoming more and more popular in recent years, but energy-constrained characteristic of sensor nodes is one of the critical issues that we must consider in system design. In this paper, a cluster-based virtual V-BLAST transmission scheme is proposed to achieve energy savings for energy-constrained wireless sensor networks. In the proposed scheme, instead of using cluster member as cooperative nodes, multiple cluster heads cooperate to form virtual antenna array so that V-BLAST based virtual MIMO transmission can be implemented. Based on the communication energy consumption model, a way to optimize the parameters for the scheme is given. In addition, detailed simulation is performed to evaluate the performance of the proposed scheme for both densely and sparsely deployed sensor networks. Theoretical analysis and simulation results verify the energy efficiency of the proposed scheme. 相似文献
17.
DING Jie LIU Dan-pu WU Hua-ri .Key Laboratory of Universal Wireless Communication Ministry of Education Beijing University of Posts Telecommunications Beijing China 《中国邮电高校学报(英文版)》2011,(4):31-38
In this paper,a cluster-based virtual multiple-input multiple-output(MIMO)transmission architecture is proposed for energy-constrained wireless sensor networks.In the proposed architecture,instead of using cluster members as cooperative nodes,multiple cluster heads cooperate to form virtual antenna array so that MIMO transmission can be implemented.According to the MIMO techniques used in this architecture,two different schemes,vertical Bell Laboratories layered space-time(V-BLAST)based cluster heads cooper... 相似文献
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在LTE网络中引入光纤分布系统,可有效解决多系统、多业务信号传输和分布.因此在介绍室分系统组成的基础上,结合光纤分布系统的特点,研究了光纤分布系统一些新技术应用优势.通过分析,得出了该分布系统在与5G技术融合、天线选择方面的策略和建议. 相似文献
19.
将大规模多输入多输出(Multiple-Input Multiple-Output,MIMO)技术与无线能量传输(Wireless Power Transfer,WPT)技术相结合,能够帮助实现节能降耗,契合国内外绿色通信发展浪潮。针对WPT技术在大规模MIMO研究领域的应用问题,总结了当前携能大规模MIMO技术的研究现状及发展趋势,从频效、能效、安全性等多个方面对携能大规模MIMO资源分配算法进行综述,探讨了学术界在携能大规模MIMO资源分配算法上的重要研究成果。在现有算法研究进展分析的基础上,对当前研究中携能大规模MIMO资源分配算法研究情况存在的问题进行分析,并对未来的发展方向进行了展望。 相似文献
20.
Jiakuo Zuo Van Phuong Dao Yongqiang Bao Shiliang Fang Li Zhao Cairong Zou 《ETRI Journal》2014,36(4):686-689
This paper studies energy‐efficiency (EE) power allocation for cognitive radio MIMO‐OFDM systems. Our aim is to minimize energy efficiency, measured by “Joule per bit” metric, while maintaining the minimal rate requirement of a secondary user under a total power constraint and mutual interference power constraints. However, since the formulated EE problem in this paper is non‐convex, it is difficult to solve directly in general. To make it solvable, firstly we transform the original problem into an equivalent convex optimization problem via fractional programming. Then, the equivalent convex optimization problem is solved by a sequential quadratic programming algorithm. Finally, a new iterative energy‐ efficiency power allocation algorithm is presented. Numerical results show that the proposed method can obtain better EE performance than the maximizing capacity algorithm. 相似文献