Systems Engineering and Electronics ›› 2020, Vol. 42 ›› Issue (11): 2636-2643.doi: 10.3969/j.issn.1001-506X.2020.11.28

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Energy-efficient multiuser-multichannel matching algorithm in NOMA systems

Hui WANG1,2(), Jing ZHANG1,2,3(), Wanli CHENG1,2()   

  1. 1. College of Communication and Information Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
    2. Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
    3. Institute of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
  • Received:2020-01-17 Online:2020-11-01 Published:2020-11-05

Abstract:

Aiming at the challenges of efficiently allocating the wireless resources to mass users under imperfect channel state information (CSI), an energy-efficient multiuser-multichannel matching algorithm involv-ing the non-orthogonal multiple access (NOMA) technology is proposed. Considering the constraint of the user outage probability, a joint channel and power allocation optimization problem for cellular downlink NOMA system with imperfect CSI is formulated to maximize the system energy efficiency (EE). The established optimization problem with a probability constraint is transformed into a non-probability constrained optimization problem, from which the user-channel matching optimization problem is decoupled. The EE oriented user-channel matching optimization problem for NOMA system is mapped to the marriage matching problem, and an efficient and low complexity bilateral matching algorithm is thus proposed to realize the multiuser-multichannel dynamic matching. The simulation results show that the proposed matching algorithm achieves better performances than the traditional matching algorithms, which can achieve higher system EE, lower user outage probability and faster convergence speed.

Key words: non-orthogonal multiple access (NOMA), imperfect channel state information (CSI), matching algorithm, energy efficiency, outage probability

CLC Number: 

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