Energy Efficient Resource Management in SWIPT Enabled Heterogeneous Networks with NOMA

Haijun Zhang, Mengting Feng, Keping Long, George K. Karagiannidis, Victor C.M. Leung, H. Vincent Poor

Research output: Contribution to journalArticlepeer-review

104 Scopus citations


Non-orthogonal multiple access (NOMA) in heterogeneous network (HetNet) is a very promising scheme to meet the exponential growth of mobile data expected in the coming years. However, since wireless networks are becoming denser, the energy consumption of such networks is increasingly severe. Therefore, it is necessary to design novel energy efficiency (EE) maximization technologies under the constraint of limited energy supply. This paper investigates the resource optimization problem of NOMA heterogeneous small cell networks with simultaneous wireless information and power transfer (SWIPT). By decoupling subchannel allocation and power control, a low-complexity subchannel matching algorithm is designed. Furthermore, to maximize the energy efficiency, a power optimization algorithm is proposed using Langrangian duality. Aiming at the power allocation problem, the original non-convex and non-linear energy efficiency optimization problem is transformed into a more tractable one. Simulation results demonstrate the effectiveness and convergence of the proposed optimization scheme in terms of system energy efficiency.

Original languageEnglish (US)
Article number8891923
Pages (from-to)835-845
Number of pages11
JournalIEEE Transactions on Wireless Communications
Issue number2
StatePublished - Feb 2020
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


  • Energy efficiency
  • HetNets
  • NOMA
  • energy harvesting
  • resource allocation


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