On Minimizing Energy Consumption in FiWi Enhanced LTE-A HetNets

Hongzhi Guo, Jiajia Liu, Zubair Md Fadlullah, Nei Kato

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

As an integration of optical fiber networks and LTE-A heterogeneous networks (HetNets), fiber-wireless (FiWi) enhanced LTE-A HetNets will play a key role in supporting large-scale mobile data transmission. To improve the energy efficiency of the networks, we should put as much equipment into sleep state, and thus few user equipment (UE) can access Internet. In contrast, to maximize the UE connection all equipment should be in active state, which results in very high energy consumption. Obviously, there is a tradeoff between energy consumption minimization and UE connection maximization. However, existing works mostly focused on designing energy saving schemes for access networks but little can be found taking UE connection constraints into account. Toward this end, we provide this paper to explore the problem of minimizing energy consumption with UE connection constraints, where a constrained optimization problem is formulated and three solutions are presented, i.e., a brute force algorithm, a heuristic greedy algorithm, and a snowball rolling algorithm. Numerical results reveal that the heuristic greedy and snowball rolling algorithms have much higher computational efficiency than the brute force method, and can also achieve near-optimal solutions for the problem of minimizing energy consumption with UE connection constraints in FiWi enhanced LTE-A HetNets.

Original languageEnglish
Article number7534737
Pages (from-to)579-591
Number of pages13
JournalIEEE Transactions on Emerging Topics in Computing
Volume6
Issue number4
DOIs
Publication statusPublished - 2018 Oct 1

Keywords

  • FiWi
  • FiWi enhanced LTE-A HetNet
  • HetNet
  • Hybrid fiber-wireless network
  • LTE-A
  • UE connection
  • energy consumption
  • heterogeneous network

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Information Systems
  • Human-Computer Interaction
  • Computer Science Applications

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