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2012 7th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM)最新文献

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On TDD cross-tier in-band interference mitigation: A practical example 关于TDD跨层带内干扰抑制:一个实际例子
M. Cierny, R. Wichman, Jyri Hämäläinen, C. Ribeiro, Z. Ding, Xin Liu
This work considers in-band interference that appears in two-tier macro/femto cellular networks when macrocells and femtocells operate on the same frequency band. We focus on the time division duplex (TDD) mode where uplink-downlink interference occurs if time sharing between uplink and downlink are different in the overlaying macrocell and underlying femtocells. We derive an optimal power control based solution for a simple example scenario and then propose an extension for general multicell/multilink network. Finally, we show through simulations that the proposed solution can be used to mitigate the outage in the femtocell uplink without harming the macrocell layer.
这项工作考虑了当宏/飞蜂窝网络和飞蜂窝在同一频段上工作时,两层宏/飞蜂窝网络中出现的带内干扰。我们重点研究了时分双工(TDD)模式,当上行链路和下行链路在覆盖的宏基站和底层的飞基站之间的时间分配不同时,上行链路和下行链路会产生干扰。针对一个简单的示例场景,我们推导了一个基于最优功率控制的解决方案,然后对一般的多单元/多链路网络提出了扩展。最后,我们通过仿真表明,所提出的解决方案可以在不损害宏蜂窝层的情况下减轻飞蜂窝上行链路的中断。
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引用次数: 3
Transmission capacity of D2D communication under heterogeneous networks with Dual Bands 双频段异构网络下D2D通信的传输容量
Ziyang Liu, Tao Peng, Qianxi Lu, Wenbo Wang
This paper analyzes the maximum achievable transmission capacity of the D2D communication system under heterogeneous networks. The heterogeneous networks contain two primary systems working on independent bands and D2D communication guarantees the target outage probabilities of both systems on each band. By utilizing stochastic geometry, the effects of the spatial densities and the transmission power allocation ratio on the achievable transmission capacity are presented. Moreover, the optimal transmission density of D2D pairs and the optimal power allocation ratio are derived. The maximum capacity of D2D communication is defined based on the former optimal value from theoretical results. It is shown that the optimal power allocation ratio is proportional to the product of bandwidth, node density and transmission power of two primary systems.
本文分析了异构网络下D2D通信系统的最大可实现传输容量。异构网络包含两个工作在独立频带上的主系统,D2D通信保证了两个系统在每个频带上的目标中断概率。利用随机几何理论,分析了空间密度和传输功率分配比对可实现传输容量的影响。推导了D2D对的最佳传输密度和最佳功率分配比。在理论结果的最优值基础上,定义了D2D通信的最大容量。结果表明,最优功率分配比例与两个主系统的带宽、节点密度和传输功率的乘积成正比。
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引用次数: 36
Exploiting polarization for spectrum sensing in cognitive SatComs 在认知卫星通信中利用极化进行频谱感知
S. Sharma, S. Chatzinotas, B. Ottersten
Exploring new techniques for spectrum sensing (SS), which can detect the weak primary signals instantly, has been an important research challenge. In this paper, the problem of enhancing SS efficiency in cognitive SatComs has been considered. The analysis of different combining techniques has been carried out for SS using dual polarized antenna. Furthermore, polarization states of received signals are exploited and based on obtained polarization states, Optimum Polarization Based Combining (OPBC) technique has been used for carrying out SS in the satellite terminal. The sensing performance of OPBC technique has been compared to selection combining (SC), equal gain combining (EGC) and maximum ratio combining (MRC) techniques. The simulation results show that OPBC technique achieves a great improvement in sensing efficiency over other considered techniques at the expense of complexity in a dual polarized AWGN channel.
探索能够即时检测微弱初级信号的频谱传感新技术一直是一个重要的研究挑战。本文研究了认知卫星通信中如何提高卫星通信效率的问题。对采用双极化天线的SS进行了不同组合技术的分析。此外,利用接收信号的极化状态,在获得极化状态的基础上,采用基于最优极化的组合(OPBC)技术在卫星终端上实现SS。将OPBC技术的传感性能与选择组合(SC)、等增益组合(EGC)和最大比值组合(MRC)技术进行了比较。仿真结果表明,在双极化AWGN信道中,OPBC技术以牺牲复杂性为代价,在传感效率方面取得了较大的进步。
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引用次数: 54
Shadow chasing : A resource allocation scheme for heterogeneous networks 影子追踪:一种异构网络的资源分配方案
A. Elsherif, Z. Ding, Xin Liu, Jyri Hämäläinen, R. Wichman
In this paper, we propose a resource allocation scheme for interference mitigation in heterogeneous networks to simultaneously serve both Macrocell User Equipments (MUEs) and Home User Equipments (HUEs). In the proposed Shadow Chasing scheme, a Home eNB (HeNB) uses Downlink Control Information (DCI) together with ACK/NAK feedback to assign its HUEs the Physical Resource Blocks (PRBs) that are also potentially used by outdoor MUEs. Since the HeNB receives an outdated DCI due to backhaul delay, our Shadow Chasing algorithm (SCA) determines a likelihood metric for each PRB being either vacant or assigned to an outdoor MUE. By dynamically separating MUE and HUE PRB assignments, SCA can control the downlink interference to MUE. Our numerical examples demonstrate effective reduction of probability for PRB assignment collision and MUE interference over random assignment and a DCI based assignment that does not take into account the delay effect nor the ACK/NAK signal.
本文提出了一种在异构网络中同时服务于宏蜂窝用户设备(mue)和家庭用户设备(hue)的资源分配方案。在拟议的影子追踪方案中,一个家庭环境局(HeNB)使用下行链路控制信息(DCI)和ACK/NAK反馈来分配其hue的物理资源块(prb),这些物理资源块也可能被户外的mu使用。由于回程延迟,HeNB接收到过时的DCI,因此我们的影子追踪算法(SCA)确定每个PRB空置或分配给室外MUE的可能性度量。通过动态分离MUE和HUE PRB分配,SCA可以控制对MUE的下行干扰。我们的数值示例表明,与随机分配和不考虑延迟效应和ACK/NAK信号的基于DCI的分配相比,PRB分配冲突和MUE干扰的概率有效降低。
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引用次数: 7
Comparison of underlay and overlay spectrum sharing strategies in MISO cognitive channels MISO认知信道中底层和叠加频谱共享策略的比较
Ricardo Blasco-Serrano, Jing Lv, R. Thobaben, Eduard Axel Jorswieck, Adrian Kliks, M. Skoglund
We consider an extension of the cognitive radio channel model in which the secondary transmitter has to obtain (“learn”) the primary message in a first phase rather than having non-causal knowledge of it. We propose an achievable rate region that combines elements of decode-and-forward relaying with coding for the pure cognitive radio channel model. Moreover, we find the choice of parameters that maximize the secondary rate under a primary rate constraint. Finally, we compare numerically the performance of our system to that of an underlay scheme that combines beamforming, rate splitting, and successive decoding. We observe that although the overlay design provides higher rates, the losses due to the first phase are quite severe. In fact, for the considered scenarios, cleverly designed underlay schemes can provide comparable performance.
我们考虑了认知无线电信道模型的扩展,其中二次发射机必须在第一阶段获得(“学习”)主要信息,而不是对其具有非因果知识。我们提出了一个可实现的速率区域,该区域结合了纯认知无线电信道模型的解码转发中继元素和编码。此外,我们找到了在主速率约束下使次速率最大化的参数选择。最后,我们将本系统的性能与结合了波束形成、速率分割和连续解码的底层方案的性能进行了数值比较。我们观察到,虽然覆盖设计提供了更高的速率,但由于第一阶段的损失相当严重。实际上,对于所考虑的场景,巧妙设计的底层方案可以提供类似的性能。
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引用次数: 29
Design of spectrum database assisted cognitive radio vehicular networks 频谱数据库辅助认知无线车载网络设计
Rahman Doost-Mohammady, K. Chowdhury
Recent FCC rulings in the US, mandating spectrum databases for white spaces unlicensed access, raise interesting challenges on the placement of road-side base stations (BS) connected to spectrum databases distributing spectrum knowledge to cognitive radios embedded in passing by vehicles. This paper takes the first step towards developing an analytical framework for determining the topology of such a vehicular network, where the network components are the spectrum database, multiple BSs and moving vehicles in different traffic conditions. Our framework not only adheres to the FCC specifications, but it also provides a cost-revenue analysis given the environmental parameters such as vehicular density, BS road coverage and the tradeoffs between local vs. database assisted sensing, thereby making this a potential tool for future network design. A comprehensive simulation study is undertaken using real traffic traces to show the application and benefit of our method in a practical setting.
美国联邦通信委员会(FCC)最近的裁决要求对空白频段的无牌接入建立频谱数据库,这对连接到频谱数据库的路边基站(BS)的布局提出了有趣的挑战,这些基站将频谱知识分发给嵌入在过往车辆中的认知无线电。本文迈出了第一步,开发了一个分析框架,用于确定这种车辆网络的拓扑结构,其中网络组件是频谱数据库、多个BSs和不同交通条件下的移动车辆。我们的框架不仅符合FCC规范,而且还提供了考虑环境参数(如车辆密度、BS道路覆盖范围以及本地与数据库辅助传感之间的权衡)的成本收益分析,从而使其成为未来网络设计的潜在工具。利用真实的交通轨迹进行了全面的仿真研究,以显示我们的方法在实际环境中的应用和效益。
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引用次数: 29
Interference management strategy for deploying energy efficient femtocells network 部署高能效飞蜂窝网络的干扰管理策略
A. Hayar, B. Zayen, S. Bouferda
In this paper, we propose a new interference management scheme for femtocells systems based on the cooperation and inter-handover techniques between competing cells in the context of cognitive radio systems. The original idea presented in this work consists of initiating a cooperation protocol between femtocells through inter-handover algorithm based on channel gain diversity. Users belong a given femtocell are allowed to connect to a neighboring cell if their channel gains to this cell are better than what they have with their own femtocell. We have shown in this work, using a game theory based resource allocation scheme, that we can achieve better performance in terms of capacity and power consumption using our approach. The results have shown also that a simple win-win cooperation protocols can be implemented to improve the energy consumption and performance of new cellular systems such as femtocells or even for classical cellular systems if a minimum cooperation schemes are allowed.
在认知无线电系统中,我们提出了一种新的基于竞争小区之间的合作和相互切换技术的飞蜂窝系统干扰管理方案。本文提出的原始思想是通过基于信道增益分集的间切换算法在飞基站之间启动一个合作协议。如果用户在一个给定的移动基站上的信道增益比他们在自己的移动基站上的信道增益好,则允许他们连接到邻近的移动基站。在这项工作中,我们使用基于博弈论的资源分配方案表明,使用我们的方法,我们可以在容量和功耗方面获得更好的性能。结果还表明,如果允许最小合作方案,可以实现简单的双赢合作协议,以改善新型蜂窝系统(如飞蜂窝)甚至传统蜂窝系统的能耗和性能。
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引用次数: 5
Server-uncertain spectrum trading in cognitive radio networks: A queueing-theoretic modeling approach 认知无线电网络中服务器不确定频谱交易:一种排队理论建模方法
Lixia Liu, Gang Hu, Ming Xu, Yuxing Peng
Spectrum trading is the promising method to improve spectrum efficiency from the perspective of economics. In this paper we propose a queueing-theory based spectrum trading model, where the primary user plays the server role providing spectrum to the secondary user who acts as the customer. The most significant challenge is how to optimize the spectrum trading model considering the server uncertainty which includes service state, service time, service area, service content and service price. We design a STACP queueing model according to the server attributes, so that the secondary user can choose the right queue quickly and reasonably according to its demand. Moreover, we further analyze the optimizing strategies for STACP model which can maximize the profit of the primary user and minimize the service cost of the secondary user. The simulation results demonstrate the analysis results.
从经济学角度看,频谱交易是提高频谱效率的有效途径。本文提出了一种基于排队理论的频谱交易模型,其中主用户扮演服务器角色,向作为客户的辅助用户提供频谱。在考虑服务状态、服务时间、服务区域、服务内容和服务价格等不确定性的情况下,如何优化频谱交易模型是该研究面临的最大挑战。我们根据服务器属性设计了一个STACP排队模型,使得二级用户可以根据自己的需求快速合理地选择合适的队列。在此基础上,进一步分析了使主用户利润最大化、次用户服务成本最小化的STACP模型优化策略。仿真结果验证了分析结果。
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引用次数: 3
Field measurements of WSD-DTT protection ratios over outdoor and indoor reference geometries 野外测量的WSD-DTT保护比在室外和室内的参考几何形状
P. Talmola, Juha Kalliovaara, J. Paavola, R. Ekman, Atte Vainisto, Niko Aurala, H. Kokkinen, K. Heiska, R. Wichman, J. Poikonen
A currently prevalent view of the operation of white space cognitive radios is that they should use geolocation databases to determine their frequency band and maximum transmission power in any given location so that interference radiated to broadcast receivers is negligible. To estimate the level of such interference, physical reference geometries and path loss estimates have been proposed between co-located devices. In this paper we present results of a measurement campaign conducted over indoor and outdoor reference geometry scenarios in a digital terrestrial television test network. Applying a subjective error criterion, we provide practical estimates on the maximum relative transmit powers for white space devices in order to avoid visible interference in television reception. The study applies to various primary and secondary transmission and reception scenarios, and its results can be extended also to estimate protection ratios for signal configurations not considered in the reported measurements.
目前对空白空间认知无线电操作的普遍看法是,它们应该使用地理位置数据库来确定它们在任何给定位置的频带和最大发射功率,以便辐射到广播接收器的干扰可以忽略不计。为了估计这种干扰的水平,物理参考几何形状和路径损耗估计已经在共定位设备之间提出。在本文中,我们介绍了在数字地面电视测试网络中对室内和室外参考几何场景进行的测量活动的结果。为了避免电视接收中的可见干扰,我们应用主观误差标准,对白色空间设备的最大相对发射功率进行了实际估计。该研究适用于各种主要和次要传输和接收场景,其结果也可以扩展到估计报告测量中未考虑的信号配置的保护比率。
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引用次数: 13
Joint congestion control and routing subject to dynamic interruptions in cognitive radio networks 认知无线网络中受动态中断影响的联合拥塞控制和路由
Husheng Li, Lijun Qian
Cognitive radio networks suffer from dynamic interruptions from primary users. The joint congestion control and routing are tackled using stochastic control techniques. Centralized dynamic programming is applied for the primal optimization, which provides a performance upper bound. Q-learning is applied when the primary user knowledge is unknown. Dual optimization based decomposition is used to decentralize the stochastic control. A heuristic scheme based on the limited lookahead policy (LLP) and binary pricing is proposed to tackle the prohibitive difficulty in the dual optimization. Numerical simulation shows that the proposed algorithms achieve the optimal or near-optimal performance.
认知无线网络遭受来自主要用户的动态中断。采用随机控制技术解决了网络拥塞和路由的联合控制问题。采用集中式动态规划进行初始优化,给出了性能上界。Q-learning应用于主要用户知识未知的情况。采用基于对偶优化的分解来分散随机控制。提出了一种基于有限前瞻策略(LLP)和二元定价的启发式方案来解决对偶优化中令人望而却步的困难。数值仿真结果表明,所提算法达到了最优或接近最优的性能。
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引用次数: 4
期刊
2012 7th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM)
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