Power optimization for multiple QoS, delay, and BER classes relying on finite-delay information theory

  • Chen Gong
  • Qian Gao
  • Lajos Hanzo
  • Zhengyuan Xu
Research Paper


Future communication systems will include diffierent types of messages requiring diffierent transmission rates, packet lengths, and service qualities. We address the power-optimization issues of communication systems conveying multiple message types based on finite-delay information theory. Given both the normalized transmission rate and the packet length of a system, the actual residual decoding error rate is a function of the transmission power. We propose a generalized power allocation framework for multiple message types. Two diffierent optimization cost functions are adopted: the number of service-quality violations encountered and the sum log ratio of the residual decoding error rate. We provide the optimal analytical solution for the former cost function and a heuristic solution based on a genetic algorithm for the latter one. Finally, the performance of the proposed solutions are evaluated numerically.


5G communication short packet ultra-dense delay-limited finite-length information theory power optimization 


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Copyright information

© Posts & Telecom Press and Springer Singapore 2017

Authors and Affiliations

  • Chen Gong
    • 1
  • Qian Gao
    • 1
  • Lajos Hanzo
    • 3
  • Zhengyuan Xu
    • 1
    • 2
  1. 1.Key Laboratory of Wireless-Optical Communications, Chinese Academy of Sciences, School of Information Science and TechnologyUniversity of Science and Technology of ChinaHefeiChina
  2. 2.Shenzhen Graduate SchoolTsinghua UniversityShenzhenChina
  3. 3.School of Electronics and Computer ScienceUniversity of SouthamptonSouthamptonUK

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