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Uplink Contention Based SCMA for 5G Radio Access (1407.5495v2)

Published 21 Jul 2014 in cs.IT and math.IT

Abstract: Fifth generation (5G) wireless networks are expected to support very diverse applications and terminals. Massive connectivity with a large number of devices is an important requirement for 5G networks. Current LTE system is not able to efficiently support massive connectivity, especially on the uplink (UL). Among the issues arise due to massive connectivity is the cost of signaling overhead and latency. In this paper, an uplink contention-based sparse code multiple access (SCMA) design is proposed as a solution. First, the system design aspects of the proposed multiple-access scheme are described. The SCMA parameters can be adjusted to provide different levels of overloading, thus suitable to meet the diverse traffic connectivity requirements. In addition, the system-level evaluations of a small packet application scenario are provided for contention-based UL SCMA. SCMA is compared to OFDMA in terms of connectivity and drop rate under a tight latency requirement. The simulation results demonstrate that contention-based SCMA can provide around 2.8 times gain over contention-based OFDMA in terms of supported active users. The uplink contention-based SCMA scheme can be a promising technology for 5G wireless networks for data transmission with low signaling overhead, low delay, and support of massive connectivity.

Citations (275)

Summary

  • The paper introduces uplink contention-based SCMA as an innovative approach for 5G radio access to efficiently handle massive connectivity by reducing signaling overhead and latency compared to traditional LTE systems.
  • System-level evaluation shows that contention-based SCMA achieves a 2.8-fold increase in supported active users compared to OFDMA, demonstrating superior performance for low-latency data transmissions.
  • The design highlights SCMA's scalability through adjustable codebook parameters, discusses methods for resolving user collisions, and notes performance improvements over OFDMA in aspects like Peak-to-Average Power Ratio (PAPR).

Uplink Contention-Based SCMA for 5G Radio Access: A Technical Overview

The paper "Uplink Contention Based SCMA for 5G Radio Access" presents an innovative approach to addressing the massive connectivity demands in fifth-generation (5G) wireless networks. This is achieved through the introduction of an uplink contention-based sparse code multiple access (SCMA) design. The paper critiques existing LTE technologies and highlights the challenges in supporting massive connectivity, particularly focusing on issues such as signaling overhead and latency.

Motivation and Technical Foundation

The focus on massive connectivity within 5G network infrastructures demands significant foresight in multiple access schemes. Current LTE systems leverage uplink transmissions that are often hindered by high signaling overhead and latency due to a request-grant access model which is inefficient for small and sporadic packet data typical of many contemporary applications. The proposed solution, contention-based SCMA, facilitates the reduction of these inefficiencies by eliminating the necessity for dynamic uplink grants through a non-orthogonal codebook—a foundational pillar of SCMA's architecture. The non-orthogonal nature allows for resource overloading by multiplexing several layers, which are decoded using message passing algorithms that provide near-optimal detection.

Performance Evaluation and Numerical Results

Central to the paper’s analysis is a system-level evaluation, which illustrates the effectiveness of SCMA over traditional orthogonal frequency division multiple access (OFDMA) schemes under similar conditions. SCMA shows profound improvements in managing network loads, demonstrating a 2.8-fold increase in supported active user numbers compared to OFDMA. This significant gain is attributed to SCMA's ability to support a higher density of users via non-orthogonal access, which contributes to its suitability for low-latency data transmission scenarios common in real-time applications.

Discussion on Design and Scalability

SCMA's scalability is articulated through its capacity for adjusting codebook parameters, enabling significant flexibility to cater to varying traffic demands. By varying the number of non-zero entries (N) and codeword length (K), different levels of overloading can be generated. This is crucial for achieving massive connectivity, a growing requirement of 5G networks.

Moreover, the paper discusses methods for resolving user collisions—a common hurdle in contention-based systems—using techniques such as random back-off and blind detection. Importantly, the implementation of SCMA outperforms OFDMA not only in terms of user capacity but also under constraints like peak-to-average power ratio (PAPR), an aspect where SCMA also demonstrates improvements over conventional methods.

Implications and Future Directions

The implications of this research are multifaceted, offering practical enhancements to uplink transmission schemes in 5G networks. The proposed SCMA model addresses both theoretical and practical considerations of massive connectivity, signaling a notable advancement in 5G radio access protocols. Future developments may explore the extension of SCMA into diverse service applications, potentially scaling toward anticipated 6G specifications.

The paper posits that SCMA's contention-based model could set a precedent for future 5G technology implementations, suggesting a shift away from traditional orthogonal methods towards more versatile, low-overhead solutions. As network standards evolve, there may be further exploration of adaptive and dynamic access schemes that push the boundaries of current wireless capabilities even further.

In conclusion, this paper provides a detailed examination of SCMA's potential in optimizing uplink communications within the 5G framework. With ongoing advancements in network technology, the role of SCMA could become increasingly integral to supporting the ever-expanding ecosystem of connected devices and applications.