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Concurrent transmission versus time sharing in Gaussian interference channels
Zheng M(郑萌); Mohammadi, Jafar; Stanczak, Slawomi; Yu HB(于海斌)
作者部门工业控制网络与系统研究室
会议名称2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012
会议日期June 17-20, 2012
会议地点Cesme, Turkey
会议录名称IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
出版者IEEE
出版地Piscataway, NJ, United States
2012
页码314-318
收录类别EI ; CPCI(ISTP)
EI收录号20124415632190
WOS记录号WOS:000320276200064
产权排序1
ISBN号978-1-4673-0971-4
关键词Resource Allocation Signal Interference Telecommunication Wireless Telecommunication Systems
摘要A key to efficient mobile communication networks is an efficient utilization of scarce resources, which includes mechanisms for resource allocation and interference management. In practice, time sharing methods such as Time Division Multiple Access (TDMA) are often exploited to create orthogonal connections. TDMA schemes however are inflexible and not suitable for decentralized implementation. In this context, approaches based on concurrent transmissions in the same frequency spectrum admitting the interference offer a promising and attractive alternative. Yet their performances deteriorate dramatically if the underlying interference coefficients are relatively large. Assuming a Gaussian Interference Channel (GIC), this paper characterizes the so-called TDMA region which is defined as a set of all interference coefficient matrices for which TDMA outperforms concurrent transmissions. We use the dimensional lifting method to prove the convexity and monotonicity of the TDMA region, which provides some insights into the scheduling design under uncertainty with respect to the interference coefficients. Finally, the analysis is used to develop strategies for resource allocation in STDMA-based wireless networks. 
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/10094
专题工业控制网络与系统研究室
通讯作者Zheng M(郑萌)
作者单位1.Lab. of Industrial Control Network and System, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China
2.Graduate School of Chinese Academy of Sciences, Beijing, 100039, China
3.Fraunhofer Heinrich Hertz Institute, Berlin, 10587, Germany
4.Heinrich-Hertz-Lehrstuhl für Informationstheorie und Theoretische Informationstechnik, Technische Universitat Berlin, Einsteinufer 27, 10587, Germany
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Zheng M,Mohammadi, Jafar,Stanczak, Slawomi,et al. Concurrent transmission versus time sharing in Gaussian interference channels[C]. Piscataway, NJ, United States:IEEE,2012:314-318.
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