41 research outputs found
ADMM-based Detector for Large-scale MIMO Code-domain NOMA Systems
Large-scale multi-input multi-output (MIMO) code domain non-orthogonal
multiple access (CD-NOMA) techniques are one of the potential candidates to
address the next-generation wireless needs such as massive connectivity, and
high reliability. This work focuses on two primary CD-NOMA techniques:
sparse-code multiple access (SCMA) and dense-code multiple access (DCMA). One
of the primary challenges in implementing MIMO-CD-NOMA systems is designing the
optimal detector with affordable computation cost and complexity. This paper
proposes an iterative linear detector based on the alternating direction method
of multipliers (ADMM). First, the maximum likelihood (ML) detection problem is
converted into a sharing optimization problem. The set constraint in the ML
detection problem is relaxed into the box constraint sharing problem. An
alternative variable is introduced via the penalty term, which compensates for
the loss incurred by the constraint relaxation. The system models, i.e., the
relation between the input signal and the received signal, are reformulated so
that the proposed sharing optimization problem can be readily applied.
The ADMM is a robust algorithm to solve the sharing problem in a distributed
manner. The proposed detector leverages the distributive nature to reduce
per-iteration cost and time. An ADMM-based linear detector is designed for
three MIMO-CD-NOMA systems: single input multi output CD-NOMA (SIMO-CD-NOMA),
spatial multiplexing CD-NOMA (SMX-CD-NOMA), and spatial modulated CD-NOMA
(SM-CD-NOMA). The impact of various system parameters and ADMM parameters on
computational complexity and symbol error rate (SER) has been thoroughly
examined through extensive Monte Carlo simulations
A Tutorial on Decoding Techniques of Sparse Code Multiple Access
Sparse Code Multiple Access (SCMA) is a disruptive code-domain non-orthogonal multiple access (NOMA) scheme to enable future massive machine-type communication networks. As an evolved variant of code division multiple access (CDMA), multiple users in SCMA are separated by assigning distinctive sparse codebooks (CBs). Efficient multiuser detection is carried out at the receiver by employing the message passing algorithm (MPA) that exploits the sparsity of CBs to achieve error performance approaching to that of the maximum likelihood receiver. In spite of numerous research efforts in recent years, a comprehensive one-stop tutorial of SCMA covering the background, the basic principles, and new advances, is still missing, to the best of our knowledge. To fill this gap and to stimulate more forthcoming research, we provide a holistic introduction to the principles of SCMA encoding, CB design, and MPA based decoding in a self-contained manner. As an ambitious paper aiming to push the limits of SCMA, we present a survey of advanced decoding techniques with brief algorithmic descriptions as well as several promising directions
Compressive Sensing-Based Grant-Free Massive Access for 6G Massive Communication
The advent of the sixth-generation (6G) of wireless communications has given
rise to the necessity to connect vast quantities of heterogeneous wireless
devices, which requires advanced system capabilities far beyond existing
network architectures. In particular, such massive communication has been
recognized as a prime driver that can empower the 6G vision of future
ubiquitous connectivity, supporting Internet of Human-Machine-Things for which
massive access is critical. This paper surveys the most recent advances toward
massive access in both academic and industry communities, focusing primarily on
the promising compressive sensing-based grant-free massive access paradigm. We
first specify the limitations of existing random access schemes and reveal that
the practical implementation of massive communication relies on a dramatically
different random access paradigm from the current ones mainly designed for
human-centric communications. Then, a compressive sensing-based grant-free
massive access roadmap is presented, where the evolutions from single-antenna
to large-scale antenna array-based base stations, from single-station to
cooperative massive multiple-input multiple-output systems, and from unsourced
to sourced random access scenarios are detailed. Finally, we discuss the key
challenges and open issues to shed light on the potential future research
directions of grant-free massive access.Comment: Accepted by IEEE IoT Journa
Signal Processing and Learning for Next Generation Multiple Access in 6G
Wireless communication systems to date primarily rely on the orthogonality of
resources to facilitate the design and implementation, from user access to data
transmission. Emerging applications and scenarios in the sixth generation (6G)
wireless systems will require massive connectivity and transmission of a deluge
of data, which calls for more flexibility in the design concept that goes
beyond orthogonality. Furthermore, recent advances in signal processing and
learning have attracted considerable attention, as they provide promising
approaches to various complex and previously intractable problems of signal
processing in many fields. This article provides an overview of research
efforts to date in the field of signal processing and learning for
next-generation multiple access, with an emphasis on massive random access and
non-orthogonal multiple access. The promising interplay with new technologies
and the challenges in learning-based NGMA are discussed
Multiple Access Techniques for Next Generation Wireless: Recent Advances and Future Perspectives
The advances in multiple access techniques has been one of the key drivers in moving from one cellular generation to another. Starting from the first generation, several multiple access techniques have been explored in different generations and various emerging multiplexing/multiple access techniques are being investigated for the next generation of cellular networks. In this context, this paper first provides a detailed review on the existing Space Division Multiple Access (SDMA) related works. Subsequently, it highlights the main features and the drawbacks of various existing and emerging multiplexing/multiple access techniques. Finally, we propose a novel concept of clustered orthogonal signature division multiple access for the next generation of cellular networks. The proposed concept envisions to employ joint antenna coding in order to enhance the orthogonality of SDMA beams with the objective of enhancing the spectral efficiency of future cellular networks
Protocol for Extreme Low Latency M2M Communication Networks
As technology evolves, more Machine to Machine (M2M) deployments and mission critical
services are expected to grow massively, generating new and diverse forms of data
traffic, posing unprecedented challenges in requirements such as delay, reliability, energy
consumption and scalability. This new paradigm vindicates a new set of stringent requirements
that the current mobile networks do not support. A new generation of mobile
networks is needed to attend to this innovative services and requirements - the The fifth
generation of mobile networks (5G) networks. Specifically, achieving ultra-reliable low
latency communication for machine to machine networks represents a major challenge,
that requires a new approach to the design of the Physical (PHY) and Medium Access
Control (MAC) layer to provide these novel services and handle the new heterogeneous
environment in 5G. The current LTE Advanced (LTE-A) radio access network orthogonality
and synchronization requirements are obstacles for this new 5G architecture, since
devices in M2M generate bursty and sporadic traffic, and therefore should not be obliged
to follow the synchronization of the LTE-A PHY layer. A non-orthogonal access scheme
is required, that enables asynchronous access and that does not degrade the spectrum.
This dissertation addresses the requirements of URLLC M2M traffic at the MAC layer.
It proposes an extension of the M2M H-NDMA protocol for a multi base station scenario
and a power control scheme to adapt the protocol to the requirements of URLLC. The
system and power control schemes performance and the introduction of more base stations
are analyzed in a system level simulator developed in MATLAB, which implements
the MAC protocol and applies the power control algorithm.
Results showed that with the increase in the number of base stations, delay can be
significantly reduced and the protocol supports more devices without compromising
delay or reliability bounds for Ultra-Reliable and Low Latency Communication (URLLC),
while also increasing the throughput. The extension of the protocol will enable the study
of different power control algorithms for more complex scenarios and access schemes that
combine asynchronous and synchronous access