Massive Connectivity: Non-Orthogonal Multiple Access to High Performance Random Access

Learn to support more devices and sensors in Internet of Things applications through NOMA and machine-type communication

Non-orthogonal multiple access (NOMA) has held much interest due to its ability to provide a higher spectral efficiency--such as more bits per unit bandwidth in Hertz--than other, orthogonal multiple access schemes. The majority of this research focuses on the application of NOMA to downlink channels (from base station to users) in cellular systems as its use for uplink (users to base station) is somewhat circumscribed. However, NOMA has recently been employed in contention-based uplink access, which has shown an improvement in performance that allows an increase in the number of users that can be supported. As a result, NOMA is promising for machine-type communication (MTC) in 5G systems and beyond, making it a key enabler of the Internet of Things (IoT).

Massive Connectivity provides an in-depth, comprehensive view of the benefits and drawbacks of uplink NOMA random access (RA) systems. This text offers a basic introduction and description of uplink NOMA RA systems before considering the possibilities for evolution of the scheme as attempts are made to derive the most benefits and overcome any weaknesses. The book further presents key performance analysis while also highlighting game-theoretic views. In essence, by describing the essential properties of stable and high-throughput yielding RA systems, the book demonstrates that uplink NOMA can fulfill these required properties.

Massive Connectivity readers will also find:

• An extensive literature survey on RA systems and their applications since the 1970s
• Recent advances in random access for massive connectivity
• Retransmission control algorithms for NOMA random access
• Discussion of how uplink NOMA random access systems can be integrated into the existing long-term evolution (LTE) or upcoming 5G cellular networks

Massive Connectivity is a useful reference for field engineers and academics, as well as experts for random access systems for IoT applications.

透過NOMA和機器類型通信學習如何在物聯網應用中支援更多設備和感測器

非正交多址存取（NOMA）因其能夠提供比其他正交多址方案更高的頻譜效率（例如每赫茲單位頻寬的位元數）而引起了很大的興趣。大部分研究都專注於將NOMA應用於蜂窩系統中的下行通道（從基站到用戶），而其在上行通道（用戶到基站）的應用則受到一定限制。然而，NOMA最近已被應用於基於競爭的上行接入，這顯示出性能的改善，使得可以支援更多用戶。因此，NOMA在5G系統及其後續版本中對於機器類型通信（MTC）具有潛力，成為物聯網（IoT）的關鍵推動因素。

《大規模連接性》提供了對上行NOMA隨機接入（RA）系統的優點和缺點的深入全面的觀點。本書在考慮該方案的演進可能性之前，提供了對上行NOMA RA系統的基本介紹和描述，並探討了如何獲得最大利益並克服任何弱點。此外，本書還提供了關鍵性能分析，同時突出了博弈論觀點。本書通過描述穩定且高吞吐量的RA系統的基本特性，證明了上行NOMA可以滿足這些所需特性。

《大規模連接性》的讀者還將找到以下內容：
- 自1970年以來關於RA系統及其應用的廣泛文獻調查
- 大規模連接性的隨機接入最新進展
- NOMA隨機接入的重傳控制算法
- 討論如何將上行NOMA隨機接入系統整合到現有的長期演進（LTE）或即將到來的5G蜂窩網絡中

《大規模連接性》是對於物聯網應用的隨機接入系統的領域工程師和學術界的有用參考資料。

Jinho Choi, PhD, is a Professor with the School of Information Technology at Deakin University, Australia.

Jinho Choi博士是澳洲迪肯大學資訊科技學院的教授。