Wireless Personal Communications

, Volume 104, Issue 2, pp 695–726 | Cite as

Dynamic Power Control and Scheduling in Full Duplex Cellular Network with D2D

  • Arun Ramamurthy
  • Vanlin SathyaEmail author
  • Shrestha Ghosh
  • Antony Franklin
  • Bheemarjuna Reddy Tamma


Full duplex (FD) and device-to-device (D2D) communications are being considered in urban small cell deployment to meet the increasing mobile data traffic. Though FD communications have the potential to double the network capacity, introducing both FD and D2D communications in small cell networks give rise to complex interference and resource management issues. With an intelligent resource scheduling algorithm the spectral efficiency and the capacity of the small cell networks can be increased. In this paper, using mathematical model, we show that controlling transmission power in a small cell network can reduce interferences between the user equipments (UEs) and FD base station (FDBS). We also propose two heuristic user selection and power assignment algorithms hUSPAAs, a distributed hUSPAA (dhUSPAA) and a joint hUSPAA (jhUSPAA). Using hUSPAAs the FDBS can perform more simultaneous transmissions in the presence of D2D links. In order to study the performance of the proposed algorithms, we find optimal user selection and power assignment oUSPAA by solving NLP model. Simulation results show that oUSPAA supports simultaneous transmissions (DL + D2D, UL + D2D, DL + UL, DL + UL + D2D) for 80% of the time intervals. The aggregate throughput of the system obtained using oUSPAA is 5.5% and 20.5% greater than that obtained in Half Duplex (HD) and when FDBS operates at peak power, respectively, at 65 dB Self-Interference Cancellation (SIC). Also, power control in the heuristics reduces the energy consumption as compared to FDBS operating at peak power.


Full duplex Device to device communication Small cell network 



This work was supported by the Deity, Govt of India (Grant No. 13(6)/2010CC&BT).


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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Industrial Engineering and Operational ResearchIndian Institute of TechnologyBombayIndia
  2. 2.University of ChicagoChicagoUSA
  3. 3.Department of CSESaarland UniversitySaarbrückenGermany
  4. 4.Department of CSEIndian Institute of Technology HyderabadHyderabadIndia

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