Grant-Free Non-Orthogonal Multiple Access for IoT: A Survey

By Muhammad Basit Shahab, Rana Abbas, Mahyar Shirvanimoghaddam, Sarah J. Johnson. IEEE Communications Surveys and Tutorials, 2019

395 citations recorded by the source corpus.

Massive machine-type communications (mMTC) is one of the main three focus areas in the 5th generation (5G) of wireless communications technologies to enable connectivity of a massive number of Internet of things (IoT) devices with little or no human intervention. In conventional human-type communications (HTC), due to the limited number of available channel resources and orthogonal resource allocation techniques, users get a transmission slot by making scheduling/connection requests. The involved control channel signaling, negligible with respect to the huge transmit data, is not a major issue. However, this may turn into a potential performance bottleneck in mMTC, where huge number of devices transmit short packet data in a sporadic way. To tackle the limited radio resources and massive connectivity challenges, non-orthogonal multiple access (NOMA) has emerged as a promising technology that allows multiple users to simultaneously transmit their data over the same channel resource. This is achieved by employing user-specific signature sequences at the transmitting devices, which are exploited by the receiver for multi-user data detection. Due to its massive connectivity potential, NOMA has also been considered to enable grant-free transmissions especially in mMTC, where devices can transmit their data whenever they need without the scheduling requests. The existing surveys majorly discuss different NOMA schemes, and exploit their potential, in typical grant-based HTC scenarios, where users are connected with the base station, and various system parameters are pre-defined in the scheduling phase. Different from these works, this survey provides a comprehensive review of the recent advances in NOMA from a grant-free connectivity perspective. Various grant-free NOMA schemes are presented, their potential and related practical challenges are highlighted, and possible future directions are thoroughly discussed at the end.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/d6633352ec0f26be16a9694a5438bcc80d4a2372

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In Electrical and Electronic Engineering

  1. Mohammad Mahdi Azari
  2. Madhusanka Liyanage
  3. Quoc-Viet Pham
  4. Petar Popovski
  5. Mahyar Shirvanimoghaddam
  6. Mojtaba Vaezi
  7. Won-Joo Hwang
  8. Hiroyuki Yomo

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