Loading...

Minimizing uplink delay in delay-sensitive 5G CRAN platforms

Ataie, A ; Sharif University of Technology | 2019

466 Viewed
  1. Type of Document: Article
  2. DOI: 10.1109/5GWF.2019.8911730
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2019
  4. Abstract:
  5. In this paper, we consider the problem of minimizing the uplink delays of users in a 5G cellular network. Such cellular network is based on a Cloud Radio Access Network (CRAN) architecture with limited fronthaul capacity, where our goal is to minimize delays of all users through an optimal resource allocation. Earlier works minimize average delay of each user assuming same transmit power for all users. Combining Pareto optimization and Markov Decision Process (MDP), we show that every desired balance in the trade-off among infinite-horizon average-reward delays, is achievable by minimizing a properly weighted sum delays. In addition, we solve the problem in two realistic scenarios; considering both power control and different (random) service times for the users. In the latter scenario, we are able to define and minimize the more preferred criterion of total delay vs. average delay for each user. We will show that the resulting problem is equivalent to a discounted-reward infinite-horizon MDP. Simulations show significant improvement in terms of wider stability region for arrival rates in power-controlled scenario and considerably reduced sum of users' total delays in the case of random service times. © 2019 IEEE
  6. Keywords:
  7. 5G Cloud Radio Access Network (CRAN) ; Fronthaul capacity ; Markov Decision Process (MDP) ; Pareto optimization ; Decision theory ; Economic and social effects ; Markov processes ; Mobile telecommunication systems ; Multiobjective optimization ; Pareto principle ; Perturbation techniques ; Power control ; Radio access networks ; Wireless networks ; G clouds ; Markov Decision Processes ; Perturbation theory ; 5G mobile communication systems
  8. Source: 2nd IEEE 5G World Forum, 5GWF 2019, 30 September 2019 through 2 October 2019 ; 2019 , Pages 154-160 ; 9781728136271 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/8911730