Progressive optimization for time-varying channel with one-way multiple Mechanical Relays

Byoung Yoon Min, Min Keun Jeong, Dong Ku Kim, Kaibin Huang, Marios Kountouris

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Mechanical Relay (McR) is an architecture to enable data communications, where transmission delay and intermittent service are tolerated. Since each source and destination user uploads/downloads data when McRs are located in transmission range, we obtain more significant sum-throughput gain than fixed/no relay networks even if some packet delay might be burden for delay-sensitive cases. In this paper, we propose a couple of iterative algorithms: 1) water-filling power control (WFPC) for distance-based McR systems, 2) automatic initializing gradient algorithms (AIGA) that try to solve two optimization problems: 2-1) Sum-rate maximization, 2-2) Sum-MSE minimization. From the experimental results, utilizing McRs has much better sum-throughput performance than that of fixed/no relay cases, and WFBC also has the advantage in low SNR region. In addition, convergence points of general gradient methods highly depend on the step-size value, our proposed AIGA achieves lower complexity even if step-size is quite small.

Original languageEnglish
Title of host publication2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings
Pages298-302
Number of pages5
DOIs
Publication statusPublished - 2013
Event2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Beijing, China
Duration: 2013 Jul 62013 Jul 10

Publication series

Name2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings

Other

Other2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013
CountryChina
CityBeijing
Period13/7/613/7/10

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Signal Processing

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