Renewable Energy-Based Resource Allocation for Full-Duplex Small Cell Networks

Balqis Yafis, Kai-Ten Feng, Chih Min Yu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


In this paper, a renewable energy-based resource allocation method is proposed for full-duplex small cell networks. This method presents an outage-aware power allocation scheme as an optimal transmission policy for a two-way communication system between a base station and user equipment (UE) in one single small cell network, where each node is solar-powered and equipped with a finite capacity battery. A full-duplex (FD) scheduling scheme is presented by utilizing Markov decision process (MDP) action parameters to maximize throughput and minimize outage probability. With two different techniques, scheduling and power transmission, the MDP action sets are formulated to maximize the reward function. Outage probability is investigated by comparing our proposed FD scheme to the conventional half-duplex scheme. Furthermore, the throughput performance of the FD scheme is investigated by varying the scenarios. Finally, the outage probability and throughput performance of the FD scheme are demonstrated, in which the FD scheduling scheme has achieved 87.5 % capacity, and the outage probability is linearly decreased and degraded at 15 dB of SNR. However, with the constraint of a five-meter distance between the UE and interferers, the simulation results show that our proposed optimal transmission policy outperforms the half-duplex system despite dealing with intra-cell interference, inter-cell interference, and limited battery power.

Original languageEnglish
Pages (from-to)24746-24756
Number of pages11
JournalIEEE Access
StatePublished - 4 May 2018


  • energy harvesting
  • full duplex
  • Markov decision process
  • Resource allocation
  • small cell networks

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