Cross-Layer power allocation in nonorthogonal multiple access systems for statistical QoS provisioning

Gang Liu, Zheng Ma, Xianhao Chen, Zhiguo Ding, F. Richard Yu, Pingzhi Fan

Research output: Contribution to journalArticlepeer-review

26 Scopus citations


Power allocation is a critical issue in the physical layer of power-domain nonorthogonal multiple access (NOMA) systems. However, existing power allocation schemes have not considered the delay quality of service (QoS) requirement in the datalink layer of users, and hence may not ensure the desired delay QoS requested by the services in the upper layers. Different from existing works, we apply the statistical QoS theory into NOMA systems and formulate the physical-datalink cross-layer power allocation problem as a stochastic optimization problem under different delay QoS constraints. Also, we show that the formulated problem is quasi-concave and propose a bisection-based cross-layer power allocation algorithm. Simulation results show that the proposed algorithm is able to converge to the optimal solution obtained by exhaustive search. Also, the proposed scheme outperforms existing fixed NOMA and time-division multiple access based schemes in terms of max–min effective capacity.

Original languageBritish English
Article number7973098
Pages (from-to)11388-11393
Number of pages6
JournalIEEE Transactions on Vehicular Technology
Issue number12
StatePublished - Dec 2017


  • 5G
  • Delay QoS requirement
  • Effective capacity
  • NOMA
  • Power allocation


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