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2014 IEEE Global Communications Conference最新文献

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Hardware calibration of the modulated wideband converter 调制宽带变换器的硬件标定
Pub Date : 2014-12-01 DOI: 10.1109/GLOCOM.2014.7036931
E. Israeli, Shahar Tsiper, Deborah Cohen, Eli Shoshan, R. Hilgendorf, Alex Reysenson, Yonina C. Eldar
In the context of Cognitive Radio (CR), opportunistic transmissions can exploit temporarily vacant spectral bands. Efficient and reliable spectrum sensing is key in the CR process. CR receivers traditionally deal with wideband signals with high Nyquist rates and low Signal to Noise Ratios (SNRs). Sub-Nyquist sampling of such signals has been proposed for efficient sampling in CRs. The modulated wideband converter (MWC) is an example of such a sampling scheme. It is composed of an analog front-end, that aliases the signal intentionally before sampling it at a low rate. The signal can then be digitally reconstructed from the low rate samples, using the known relation between the samples and the original signal. Unfortunately, in real hardware implementation, this relation becomes unknown. Physical effects have a considerable impact on the sampling process, and as a consequence, the signal cannot be reliably recovered. In this paper, we present an efficient automated calibration algorithm that builds the actual transfer function of the system, without any prior knowledge. We then present a new, MWC based, CR prototype, on which the calibration algorithm was tested. Experiments on our hardware prototype, based on an embedded proprietary card, show that our calibrated transfer function leads to signal reconstruction whereas the theoretical one fails. Our specification complies with CR requirements of the IEEE standard 802.22 and was experimentally verified with different modulations. It vastly improves a previous prototype in terms of bandwidth, higher maximal frequency and coping with lower SNR.
在认知无线电(CR)的背景下,机会传输可以利用暂时空置的频谱带。高效、可靠的频谱感知是CR过程的关键。传统的CR接收机处理具有高奈奎斯特速率和低信噪比(SNRs)的宽带信号。为了在cr中进行有效的采样,已经提出了这种信号的亚奈奎斯特采样。调制宽带变换器(MWC)就是这种采样方案的一个例子。它由一个模拟前端组成,在以低速率采样之前有意地对信号进行混叠。然后,利用已知的样本和原始信号之间的关系,可以从低速率样本对信号进行数字重建。不幸的是,在实际的硬件实现中,这种关系是未知的。物理效应对采样过程有相当大的影响,因此,信号不能可靠地恢复。在本文中,我们提出了一种有效的自动校准算法,该算法无需任何先验知识即可构建系统的实际传递函数。然后,我们提出了一个新的基于MWC的CR原型,并在其上对校准算法进行了测试。在基于嵌入式专有卡的硬件样机上进行的实验表明,我们校准的传递函数可以实现信号重构,而理论传递函数则无法实现。我们的规范符合IEEE 802.22标准的CR要求,并通过不同调制方式的实验验证。它在带宽、更高的最大频率和更低的信噪比方面大大改进了以前的原型。
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引用次数: 27
Joint uplink and downlink cell selection in cognitive small cell heterogeneous networks 认知小蜂窝异构网络中的联合上行和下行小区选择
Pub Date : 2014-12-01 DOI: 10.1109/GLOCOM.2014.7037206
A. Mesodiakaki, F. Adelantado, L. Alonso, C. Verikoukis
In the next few years, small cells (SCs) are expected to be densely deployed to achieve sustainable capacity enhancement. Due to the high SC density, some SCs will not have a direct connection to the core network, and thus will forward their traffic to their neighboring SCs through a multi-hop backhaul (BH). In such multi-hop architectures, the user association problem becomes challenging with BH energy consumption playing a key role. In parallel, the ever-increasing need to minimize the user equipment (UE) transmission power along with the uplink (UL) and downlink (DL) traffic asymmetry, predicate the joint study of UL and DL. Thus, in this paper, we study the joint UL and DL cell selection problem aiming at maximizing the total network energy efficiency, without compromising the UE quality of service. The problem is formulated as an optimization problem, which is NP-hard. Therefore, we propose a heuristic context-aware algorithm that associates the UEs in an energy-efficient way, while considering both access and BH energy consumption in UL and DL. We evaluate the proposed algorithm performance and we show that it can achieve significantly higher energy efficiency than the reference approaches, while maintaining high spectral efficiency and low UE power consumption.
在未来几年,小型电池预计将密集部署,以实现可持续的容量提升。由于SC密度高,一些SC不会直接连接到核心网,因此会通过多跳回程(multi-hop backhaul, BH)将其流量转发给邻近的SC。在这种多跳架构中,BH能量消耗起着关键作用,用户关联问题变得很有挑战性。同时,用户设备(UE)传输功率最小化的需求日益增加,上行链路(UL)和下行链路(DL)的流量不对称也促使了UL和DL的联合研究。因此,在本文中,我们研究了以最大化网络总能量效率为目标的联合UL和DL小区选择问题,同时不影响UE服务质量。该问题被表述为一个np困难的优化问题。因此,我们提出了一种启发式上下文感知算法,该算法以节能的方式关联ue,同时考虑UL和DL中的访问和BH能耗。我们对该算法的性能进行了评估,结果表明该算法可以实现比参考方法更高的能量效率,同时保持高频谱效率和低UE功耗。
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引用次数: 12
The effect of different levels of side information on the ergodic capacity in cognitive radio networks 不同程度的侧信息对认知无线电网络遍历能力的影响
Pub Date : 2014-12-01 DOI: 10.1109/GLOCOM.2014.7036954
Mohammad Robat Mili, K. Hamdi
In this paper, we propose several power allocation strategies in cognitive radio network in terms of spectrum sharing. In spectrum sharing, secondary users can simultaneously transmit with the primary users but must strictly control their transmit power to avoid harmful interference to primary users. In this paper, we first maximize the ergodic capacity of a secondary link with full channel side information at the secondary transmitter. Then, different levels of channel side information are separately reduced to discuss the significance of having each level at the secondary transmitter. In most cases, we derived closed-form results for evaluating the maximum capacity over Rayleigh fading channels.
本文从频谱共享的角度出发,提出了认知无线网络中的几种功率分配策略。在频谱共享中,辅助用户可以与主用户同时发射,但必须严格控制其发射功率,以免对主用户造成有害干扰。在本文中,我们首先最大化在二次发射机具有全信道侧信息的二次链路的遍历容量。然后,分别对不同级别的信道侧信息进行了简化,以讨论在二次发射机处具有每个级别的重要性。在大多数情况下,我们推导了封闭形式的结果来评估瑞利衰落信道上的最大容量。
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引用次数: 3
Joint downlink and uplink resource allocation for energy-efficient carrier aggregation 联合上下行资源分配,实现高能效载波聚合
Pub Date : 2014-12-01 DOI: 10.1109/GLOCOM.2014.7037468
Guanding Yu, Qimei Chen, Rui Yin, Huazi Zhang, Geoffrey Y. Li
In this paper, we propose a novel energy-efficient resource allocation method to simultaneously improve both downlink and uplink energy efficiency (EE) for time division duplex (TDD) systems with carrier aggregation (CA). We aim at EE tradeoff between downlink and uplink by optimizing the power and bandwidth allocation on each carrier component (CC) for each user. The objective function is a sum of several fractional functions, therefore, a novel nonlinear sum-of-ratios programming technique is used to solve it. We first transform the problem into an equivalent and better tractable one and then propose an iterative algorithm to find the global optimum solution. Numerical results show that our method can converge with an acceptable number of iterations and achieve flexible EE tradeoff between downlink and uplink.
在本文中,我们提出了一种新的节能资源分配方法,以同时提高具有载波聚合(CA)的时分双工(TDD)系统的下行和上行能量效率(EE)。我们的目标是通过优化每个用户在每个载波组件(CC)上的功率和带宽分配来实现下行链路和上行链路之间的EE权衡。目标函数是若干分数函数的和,因此,采用一种新颖的非线性比率和规划技术来求解目标函数。首先将问题转化为一个等价的、更易于处理的问题,然后提出一种求全局最优解的迭代算法。数值结果表明,该方法可以在可接受的迭代次数下收敛,并在上下行链路之间实现灵活的EE权衡。
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引用次数: 33
Bandwidth efficient multi-level MPPM encoding decoding algorithms for joint brightness-rate control in VLC systems 用于VLC系统联合亮度控制的带宽高效多级MPPM编解码算法
Pub Date : 2014-12-01 DOI: 10.1109/GLOCOM.2014.7037125
A. Siddique, Muhammad Tahir
A number of binary modulation schemes are proposed for LED based Visible Light Communication (VLC) systems to jointly achieve data transmission and brightness control. These binary modulation based solutions are spectrally inefficient because they consider the LED light source as single device. We observe that most of the commercial LED lights use more than one LED per light source and the possibility of individual current control of these LEDs would provide better brightness control resolution as well as higher data transmission rates. To achieve this we propose multi-level multi-pulse position modulation block coding scheme to jointly control multiple LEDs providing flicker free VLC link. The brightness level of the light source is controlled based on the number of LEDs switched on simultaneously. New algorithms are developed for symbol encoding/decoding as well as to enumerate the maximum number of symbols that can be encoded for the selected brightness level and the number of levels. Improvement in spectral efficiency is analyzed and compared with the contending binary modulation schemes.
针对基于LED的可见光通信(VLC)系统,提出了多种二进制调制方案,以共同实现数据传输和亮度控制。这些基于二进制调制的解决方案在频谱上效率低下,因为它们将LED光源视为单个器件。我们观察到,大多数商用LED灯每个光源使用多个LED,并且这些LED的单独电流控制的可能性将提供更好的亮度控制分辨率以及更高的数据传输速率。为了实现这一目标,我们提出了多级多脉冲位置调制分组编码方案,以联合控制多个led,提供无闪烁的VLC链路。光源的亮度水平是根据同时打开的led的数量来控制的。开发了用于符号编码/解码的新算法,以及枚举可为所选亮度级别和级别数编码的最大符号数。分析和比较了与之竞争的二元调制方案在频谱效率方面的改进。
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引用次数: 9
Method of simultaneous transmission to coherent and non-coherent receivers using ternary sequences 使用三元序列向相干和非相干接收机同时传输的方法
Pub Date : 2014-12-01 DOI: 10.1109/GLOCOM.2014.7037415
S. Jos, Thejaswi P. S. Chandrashekhar, Kiran Bynam, Young-Jun Hong, Changsoon Park, Manoj Choudhary
In this paper, we explore a method for simultaneous tranmission to coherent and non-coherent receivers, based on ternary sequences. In many communication scenarios, the transmitters are required to support both coherent and non-coherent forms of reception thereby requiring the transmission protocols to be designed such that the transmitted data is decoded reliably at both coherent and non-coherent receivers. Further, in such scenarios, for practical purposes, the transmitter is assumed to be agnostic to the type of the intended receiver, making the design more challenging. Thus motivated, we propose a transmission mechanism for simultaneous reception by coherent and noncoherent receivers. This transmission is enabled by ternary codes, i.e., codes over the ternary alphabet: {-1, 0, +1}. The design of these ternary codes, which exhibit good correlation properties for both coherent and non-coherent reception is a major contribution of this paper. Simulation results show that the proposed codes provide almost similar performance as the optimal codes meant for the respective receiver types.
在本文中,我们探索了一种基于三元序列的相干和非相干接收机同时传输的方法。在许多通信场景中,要求发射机支持相干和非相干接收形式,从而要求设计传输协议,使传输数据在相干和非相干接收器上都能可靠地解码。此外,在这种情况下,出于实际目的,假设发射器与预期接收器的类型无关,这使得设计更具挑战性。因此,我们提出了一种相干和非相干接收器同时接收的传输机制。这种传输是通过三进制代码来实现的,即三进制字母表上的代码:{- 1,0,+1}。这些三进制码的设计是本文的主要贡献,它们在相干和非相干接收中都表现出良好的相关特性。仿真结果表明,所提出的编码与针对不同接收类型的最优编码具有相近的性能。
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引用次数: 0
Efficient data collection for wireless rechargeable sensor clusters in Harsh terrains using UAVs 利用无人机在恶劣地形下进行无线可充电传感器集群的高效数据收集
Pub Date : 2014-12-01 DOI: 10.1109/GLOCOM.2014.7036813
Yawei Pang, Yanru Zhang, Yunan Gu, M. Pan, Zhu Han, Pan Li
Numerous applications of wireless sensor networks (WSNs) in harsh terrains are constrained by the sensors' battery-power and face the difficulties of data collection. In this paper, we propose to exploit wireless power transfer technology to replenish the energy of sensor clusters and develop an efficient data collection scheme for those wireless rechargeable senor clusters deployed in harsh terrains. In view of the harsh terrains, we employ unmanned aerial vehicles (UAVs) to travel to the sites of sensor clusters, collect data, and recharge the sensors in corresponding clusters. With joint consideration of data collection characteristics, wireless power transfer features and travel time, we mathematically formulate the data collection in rechargeable WSNs into an optimization problem with the objective of maximizing data collection utility. Based on the matching theory, we also develop a one side matching algorithm and a greedy algorithm to solve the problem in distributed manner. Through simulations, we show that UAVs are not always matched with nearest sensor clusters, the solution of the proposed greedy algorithm is optimal, and the sensed data can be efficiently collected.
无线传感器网络(WSNs)在恶劣地形中的大量应用受到传感器电池电量的限制,并面临数据采集的困难。在本文中,我们提出利用无线电力传输技术来补充传感器集群的能量,并为部署在恶劣地形的无线可充电传感器集群开发一种有效的数据收集方案。针对恶劣的地形,我们使用无人机(uav)前往传感器集群的站点,收集数据,并为相应集群的传感器充电。在综合考虑数据采集特性、无线电力传输特性和传输时间的基础上,将可充电无线传感器网络的数据采集问题数学化为以数据采集效用最大化为目标的优化问题。在匹配理论的基础上,提出了单侧匹配算法和贪心算法,以分布式的方式解决问题。仿真结果表明,无人机并不总是与最近的传感器簇匹配,贪心算法的解是最优的,可以有效地收集到感测数据。
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引用次数: 66
IISRA: Inter-cell interference separation-based resource allocation for VoLTE 基于小区间干扰分离的VoLTE资源分配
Pub Date : 2014-12-01 DOI: 10.1109/GLOCOM.2014.7037515
Byungkab Jo, Taejun Park, Wonbo Lee, B. Ryu, Sunghyun Choi
Voice over LTE (VoLTE), adopted as a standard technology by 3GPP is confronted by a number of challenges due to different Quality-of-Service (QoS) requirements as well as the Inter-Cell Interference (ICI) problem. In this paper, a novel Resource Allocation (RA) strategy for improving VoIP capacity in LTE uplink system is proposed. Our strategy improves the VoLTE performance simply by prioritizing packets according to Signal to Generating Interference plus Noise Ratio (SGINR) based metric, and at the same time, allocating the ordered packets to Resource Blocks (RBs) in a predefined way, which protects vulnerable users with low uplink received signal strength (RSS) and separates threatening users in each cell into different RBs in an orthogonal manner. Through system level simulation, we demonstrate that our resource allocation scheme outperforms commonly-used frequency reuse-based schemes by increasing the VoIP capacity by up to 20%.
由于不同的服务质量(QoS)要求以及小区间干扰(ICI)问题,作为3GPP标准技术的LTE语音(VoLTE)面临着许多挑战。本文提出了一种提高LTE上行系统VoIP容量的资源分配策略。该策略通过基于信号产生干扰加噪声比(SGINR)的度量对数据包进行优先级排序,同时将有序的数据包以预定义的方式分配到资源块(RBs)中,以保护低上行接收信号强度(RSS)的脆弱用户,并以正交的方式将每个单元中的威胁用户分离到不同的RBs中,从而提高VoLTE性能。通过系统级仿真,我们证明了我们的资源分配方案比常用的基于频率复用的方案提高了20%的VoIP容量。
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引用次数: 1
Compressive sleeping wireless sensor networks with active node selection 具有主动节点选择的压缩睡眠无线传感器网络
Pub Date : 2014-12-01 DOI: 10.1109/GLOCOM.2014.7036776
Wei Chen, I. Wassell
In this paper, we propose an active node selection framework for compressive sleeping wireless sensor networks (WSNs) in order to improve the signal acquisition performance and network lifetime. The node selection can be seen as a specialized sensing matrix design problem where the sensing matrix consists of selected rows of an identity matrix. By capitalizing on a genie-aided reconstruction procedure, we formulate the active node selection problem into an optimization problem, which is then approximated by a constrained convex relaxation plus a rounding scheme. The proposed approach also exploits the partially known signal support, which can be obtained from the previous signal reconstruction. Simulation results show that our proposed active node selection approach leads to an improved reconstruction performance and network lifetime in comparison to various node selection schemes for compressive sleeping WSNs.
为了提高压缩睡眠无线传感器网络的信号采集性能和网络生存时间,提出了一种面向压缩睡眠无线传感器网络的主动节点选择框架。节点选择可以看作是一个特殊的感知矩阵设计问题,其中感知矩阵由单位矩阵的选定行组成。通过利用基因辅助重建过程,我们将活动节点选择问题转化为优化问题,然后用约束凸松弛加舍入方案逼近。该方法还利用了先前的信号重构所获得的部分已知信号支持。仿真结果表明,与各种压缩睡眠wsn节点选择方案相比,我们提出的主动节点选择方法具有更好的重构性能和网络生存时间。
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引用次数: 9
Interference-aware dual-hop cooperative relaying in a poisson field of interferers 泊松干扰场中干扰感知双跳协同中继
Pub Date : 2014-12-01 DOI: 10.1109/GLOCOM.2014.7037457
W. Lu, M. Renzo
In this paper, we study amplify-and-forward dual-hop cooperative relaying protocols in the presence of Rayleigh fading, additive noise at the relay, as well as additive noise and symmetric alpha-stable interference at the destination. A quasi-static interference scenario is considered, which arises, e.g., when the same interferers are active during broadcast and relaying phases. At the destination, a maximal ratio combining demodulator is developed and studied, by assuming that the aggregate interference can be estimated, i.e., interference-aware design. A closed-form expression of the end-to-end moment generating function is provided and the achievable diversity order is studied. Two main results emerge from the paper: 1) if the ratio of the transmit-powers of cooperative and interfering networks is a constant, the diversity order is equal to 1 and 2) if the transmit-power of the interfering network is a constant, the diversity order is equal to 1 + 1/bI, where bI > 1 is the amplitude path-loss exponent. In the latter case, thus, second-order diversity is achieved asymptotically, as the amplitude path-loss exponent tends to one. Mathematical frameworks and findings are validated with the aid of Monte Carlo simulations.
本文研究了在瑞利衰落、中继处加性噪声、目的地处加性噪声和对称α稳定干扰存在的情况下,放大转发双跳协同中继协议。准静态干扰场景被考虑,例如,当相同的干扰在广播和中继阶段是活跃的。在目标处,假设可以估计总干扰,开发并研究了一种最大比组合解调器,即干扰感知设计。给出了端到端矩生成函数的封闭表达式,并研究了可实现的分集阶数。得到两个主要结果:(1)当合作网络与干扰网络的发射功率之比一定时,分集阶数等于1;(2)当干扰网络的发射功率一定时,分集阶数等于1 + 1/bI,其中bI > 1为振幅路径损耗指数。因此,在后一种情况下,二阶分集是渐近地实现的,因为振幅路径损失指数趋于1。通过蒙特卡罗模拟对数学框架和结果进行了验证。
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引用次数: 2
期刊
2014 IEEE Global Communications Conference
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