4.7 Article

Economic Design of a Linear Consecutively Connected System Considering Cost and Signal Loss

Journal

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
Volume 51, Issue 8, Pages 5116-5128

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2019.2946195

Keywords

Silicon; Reliability; Propagation losses; Economics; Resource management; Random variables; Telecommunications; Costs; expected receivable signal fraction; linear multistate consecutively connected system (LMCCS); reliability; signal loss; universal generating function (UGF)

Funding

  1. National Natural Science Foundation of China [71531013, 71671016, 71729001]
  2. School Fund Project of Beijing Information Science and Technology University [1935004]

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LMCCSs, linear multistate consecutively connected systems, are widely used in telecommunications. Most studies focus on the uncertainty in connection ranges of CEs, with none considering signal loss during transmission. Proposed model evaluates signal fraction receivable by the sink node subject to signal loss and solves optimal design policy problem to minimize system cost while meeting reliability and signal fraction constraints. Three examples illustrate the model.
Linear multistate consecutively connected systems (LMCCSs) have been widely applied in telecommunications. An LMCCS usually has several nodes arranged in sequence along a line, where connecting elements (CEs) are deployed at each node to provide connections to the following nodes. Many researchers have studied the reliability modeling and optimization of LMCCSs. However, most of the existing works on LMCCSs have focused on the uncertainty in connection ranges of CEs; none of them have considered signal loss during the transmission. In practice, a signal emitted from a node may neither completely reach nor completely not reach the destination node. In other words, only a fraction of the signal may reach the destination node whereas the rest is lost. This article makes new contributions by proposing a model that evaluates the expected signal fraction receivable by the sink node in an LMCCS subject to signal loss. Moreover, we solve the optimal design policy problem, which co-determines CEs allocation and nodes building to minimize the system cost while meeting certain constraints on system reliability and expected receivable signal fraction. Three examples are provided to illustrate the proposed model.

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