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Cooperative Wireless Cellular Systems: An Information-Theoretic View

机译:协作无线蜂窝系统:信息理论的观点

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In this monograph, the impact of cooperation on the performance of wireless cellular systems is studied from an information-theoretic standpoint, focusing on simple formulations typically referred to as Wyner-type models. Following ongoing research and standardization efforts, the text covers two main classes of cooperation strategies. The first class is cooperation at the base station (BS) level, which is also known as Multi-Cell Processing (MCP), network Multiple-Input Multiple-Output (MIMO), or Coordinated Multi-Point transmission/reception (CoMP). With MCP, cooperative decoding, for the uplink, or encoding, for the downlink, is enabled at the BSs. MCP is made possible by the presence of an architecture of, typically wired, backhaul links connecting individual BSs to a central processor (CP) or to one another. The second class of cooperative strategies allows cooperation in the form of relaying for conveying data between Mobile Stations (MSs) and BSs in either the uplink or the downlink. Relaying can be enabled by two possible architectures. A first option is to deploy dedicated Relay Stations (RSs) that are tasked with forwarding uplink or downlink traffic. The second option is for the MSs to act as RSs for other MSs. MCP is first studied under ideal conditions on the backhaul links, namely by assuming that all BSs are connected to a CP with unlimited-capacity links. Both Gaussian (nonfading) and flat-fading channels are analyzed, for the uplink and the downlink, and analytical insights are drawn into the performance advantages of MCP in different relevant operating regimes. Performance comparison is performed with standard Single-Cell Processing (SCP) techniques, whereby each BS decodes, in the uplink, or encodes, in the downlink, independently, as implemented with different spatial reuse factors. Then, practical constraints on the backhaul architecture enabling MCP are introduced. Specifically, three common settings are studied. In the first, all the BSs are connected to a CP via finite-capacity links. In the second, only BSs in adjacent cells are connected via (finite-capacity) backhaul links. In the third, only a subset of BSs is connected to a CP for joint encoding/decoding (clustered cooperation). Achievable rates for the three settings are studied and compared for both the uplink and the downlink. The performance advantages of relaying are analyzed for cellular systems with dedicated RSs and with cooperative MSs. Different techniques are reviewed that require varying degrees of information about system parameters at the MSs, RSs, and BSs. Performance is investigated with both MCP and SCP, revealing a profound interplay between cooperation at the BS level and relaying. Finally, various open problems are pointed out.
机译:在本专着中,从信息论的角度研究了合作对无线蜂窝系统性能的影响,重点是通常称为Wyner型模型的简单公式。经过不断的研究和标准化工作,本文涵盖了两大类合作策略。第一类是在基站(BS)级别的协作,这也称为多小区处理(MCP),网络多输入多输出(MIMO)或协作多点传输/接收(CoMP)。利用MCP,在BS处启用针对上行链路的协作解码或针对下行链路的编码。通过存在将各个BS连接到中央处理器(CP)或相互连接的通常是有线的回程链路的体系结构,使MCP成为可能。第二类协作策略允许以中继形式进行协作,以在上行链路或下行链路中的移动台(MS)和BS之间传送数据。中继可以通过两种可能的体系结构启用。第一种选择是部署专门的中继站(RS),其任务是转发上行链路或下行链路流量。第二种选择是让MS充当其他MS的RS。首先在理想条件下在回程链路上研究MCP,即假设所有BS通过无限容量链路连接到CP。对于上行链路和下行链路,都对高斯(非衰落)和平坦衰落信道进行了分析,并通过分析得出了MCP在不同相关工作方案下的性能优势。使用标准单小区处理(SCP)技术执行性能比较,借此,每个BS可以独立执行上行链路解码,或在下行链路进行编码,如使用不同的空间复用因子所实现的。然后,介绍了对支持MCP的回程架构的实际限制。具体来说,研究了三种常见设置。首先,所有BS均通过有限容量链路连接到CP。在第二个中,仅相邻小区中的BS通过(有限容量)回程链路连接。在第三个中,仅将BS的子集连接到CP以进行联合编码/解码(集群协作)。研究了三种设置的可达到速率,并对上行链路和下行链路进行了比较。对于具有专用RS和协作MS的蜂窝系统,分析了中继的性能优势。审查了不同的技术,这些技术需要有关MS,RS和BS系统参数的不同程度的信息。使用MCP和SCP对性能进行了调查,揭示了BS级别的合作与中继之间的深刻相互作用。最后,指出了各种未解决的问题。

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