TR2020-070

A dCDD-Based Transmit Diversity for NOMA Systems


    •  Kim, K.J., Liu, H., Lei, H., Ding, Z., Orlik, P.V., Poor, H.V., "A dCDD-Based Transmit Diversity for NOMA Systems", IEEE International Conference on Communications (ICC), June 2020.
      BibTeX TR2020-070 PDF Video
      • @inproceedings{Kim2020jun,
      • author = {Kim, Kyeong Jin and Liu, Hongwu and Lei, Hongjiang and Ding, Zhiguo and Orlik, Philip V. and Poor, H. Vincent},
      • title = {A dCDD-Based Transmit Diversity for NOMA Systems},
      • booktitle = {IEEE International Conference on Communications (ICC)},
      • year = 2020,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2020-070}
      • }
  • MERL Contacts:
  • Research Areas:

    Communications, Optimization, Signal Processing

In this paper, a new transmit diversity scheme for cooperative non-orthogonal multiple access (NOMA) is proposed without perfect channel state information at the transmitter (CSIT). To support two users under a near-far user pairing constraint, a distributed cyclic delay diversity (dCDD) scheme is adjusted into NOMA by dividing a set of remote radio heads (RRHs) into two groups for multiple cyclic-prefixed single carrier transmissions. Using only a limited channel relevant information needed to make dCDD work, a new RRH assignment and power allocation mechanism is proposed. After then, closed-form expressions for the rates of two users achieved by the proposed RRH assignment and power allocation mechanism are derived. For various scenarios, link-level simulations verify that superior rates can be achieved by NOMA with dCDD over the traditional orthogonal multiple access with dCDD.

 

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    •  NEWS   MERL Scientists Presenting 5 Papers at IEEE International Conference on Communications (ICC) 2020
      Date: June 7, 2020 - June 11, 2020
      Where: Dublin, Ireland
      MERL Contacts: Kyeong Jin (K.J.) Kim; Toshiaki Koike-Akino; Ye Wang
      Research Areas: Communications, Machine Learning, Signal Processing, Digital Video
      Brief
      • Due to COVID-19, MERL Network Intelligence Team scientists remotely presented 5 papers at the IEEE International Conference on Communications (ICC) 2020, that was scheduled to be held in Dublin Ireland from June 7-11, 2020. Topics presented include recent advances in deep learning methods for communications and new access systems. Presentation videos are also found on our YouTube channel. Our developed technologies can facilitate a great advancement in broadband virtual conferencing which is required in post-COVID-19 society.

        IEEE ICC is one of the IEEE Communications Society’s two flagship conferences dedicated to driving innovation in nearly every aspect of communications. Each year, more than 2,900 scientific researchers submit proposals for program sessions to be held at the annual conference. The high-quality proposals are selected for the conference program, which includes technical papers, tutorials, workshops and industry sessions designed specifically to advance technologies, systems and infrastructure that are continuing to reshape the world and provide all users with access to an unprecedented spectrum of high-speed, seamless and cost-effective global telecommunications services.
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