4.7 Article

Multilevel Topological Interference Management: A TIM-TIN Perspective

期刊

IEEE TRANSACTIONS ON COMMUNICATIONS
卷 69, 期 11, 页码 7350-7362

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCOMM.2021.3102623

关键词

Interference; Tin; Transmitters; Array signal processing; Resource management; Receivers; Network topology; Interference channels; treating interference as noise (TIN); topological interference management (TIM); generalized degrees-of-freedom (GDoF)

资金

  1. NSF [CCF-2007108, CCF-1617504, CCF-1907053, CNS-1731384]
  2. ONR grant [N00014-21-1-2386]
  3. ARO grant [W911NF1910344]
  4. U.S. Department of Defense (DOD) [W911NF1910344] Funding Source: U.S. Department of Defense (DOD)

向作者/读者索取更多资源

The study combines the principles of treating interference as noise with the topological interference management framework to address a TIM-TIN problem for multilevel interference management. An analytical baseline approach and a distributed numerical algorithm called ZEST are proposed to handle the TIM-TIN problem, demonstrating superior sum-rate performance and fast convergence. The convergence of the algorithm highlights the duality of the TIM-TIN problem in terms of generalized degrees-of-freedom (GDoF).
The robust principles of treating interference as noise (TIN) when it is sufficiently weak, and avoiding it when it is not, form the background of this work. Combining TIN with the topological interference management (TIM) framework that identifies optimal interference avoidance schemes, we formulate a TIM-TIN problem for multilevel topological interference management, wherein only a coarse knowledge of channel strengths and no knowledge of channel phases is available to transmitters. To address the TIM-TIN problem, we first propose an analytical baseline approach, which decomposes a network into TIN and TIM components, allocates the signal power levels to each user in the TIN component, allocates signal vector space dimensions to each user in the TIM component, and guarantees that the product of the two is an achievable number of signal dimensions available to each user in the original network. Next, a distributed numerical algorithm called ZEST is developed. The convergence of the algorithm is demonstrated, leading to the duality of the TIM-TIN problem in terms of generalized degrees-of-freedom (GDoF). Numerical results are also provided to demonstrate the superior sum-rate performance and fast convergence of ZEST.

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