Multi-User Shared Access for Internet of Things

Zeng, Yuan; Yu, Guanlong; Liu, Weimin; Yuan, Yifei; Wang, Xinhui; Xu, Jun

doi:10.1109/vtcspring.2016.7504361

Cited by 270 publications

(201 citation statements)

References 9 publications

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“…In recent years, many NOMA schemes have been devised such as interleave-division multiple access (IDMA) [7], low-density spreading CDMA (LDS-CDMA) [8], pattern-division multiple access (PDMA) [9][10][11][12][13][14], sparsecode multiple access (SCMA) [15][16][17], multiuser sharing access (MUSA) [18][19][20], bit-division multiplexing (BDM) [21], low-density spreading OFDM (LDS-OFDM) [22], resource-spread multiple access (RSMA) [23,24], interleavegrid multiple access (IGMA) [25], multiuser bit-interleaved coded modulation with iterative decoding (MU-BICM-ID) [26], and power domain nonorthogonal multiple access (PD-NOMA) [5,[27][28][29][30][31][32].…”

Section: Related Workmentioning

confidence: 99%

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Dynamic Fractional Frequency Reuse Diversity Design for Intercell Interference Mitigation in Nonorthogonal Multiple Access Multicellular Networks

Mehmood

Niaz

Kim

2018

Wireless Communications and Mobile Computing

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Nonorthogonal multiple access (NOMA) is one of the few promising techniques that can ensure the achievement of benefits foreseen in next-generation 5G wireless networks and beyond. By using superposition coding, NOMA allows multiple users to share the same time and frequency resources, thereby enhancing user connectivity, spectral efficiency, and a considerable increase in user throughput. Interference mitigation is an important consideration in NOMA and is considerably more influencing in multicellular environments. First, a brief description of the impairments that can arise in a NOMA cellular network along with responsible factors is provided. Second, different approaches adopted to minimize these impairments are discussed. Finally, a possible solution is proposed that consists of a coordinated approach between the individual cells in the NOMA domain to minimize interferences and improve user throughput. Adaptive fractional frequency reuse (FFR) is used to allocate distinct frequency resources to edge users of different cells to minimize intercell interference in NOMA. Simulation results prove that the proposed NOMA scheme plays an important role in minimizing impairment effects and enhancing the SINR and the throughput performance of edge users while ensuring fairness in its design.

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Section: Related Workmentioning

confidence: 99%

“…for channels in B E (20) Map a center user on the same channel as (21) an edge user. (22) Allocate power as per R max and considering (23) power allocation of edge user as well on (24) the same channel using (10).…”

Section: Resource Allocationmentioning

confidence: 99%

Dynamic Fractional Frequency Reuse Diversity Design for Intercell Interference Mitigation in Nonorthogonal Multiple Access Multicellular Networks

Mehmood

Niaz

Kim

2018

Wireless Communications and Mobile Computing

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“…Several NOMA schemes have been proposed for 5G. To allow a large number of users to share the same resource block, spreading codes [10], structured coding matrices [11], [12] and interleavers [13] were used. Many NOMA studies also focused on successive interference cancellation (SIC) and different channel conditions between the users for multiplexing (e.g., SIC requires large power differences between users in the same group) [3].…”

Section: Related Workmentioning

confidence: 99%

Practical Power-Balanced Non-Orthogonal Multiple Access

Pan

Liew

2017

IEEE J. Select. Areas Commun.

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This paper investigates practical 5G strategies for power-balanced non-orthogonal multiple access (NOMA). By allowing multiple users to share the same time and frequency, NOMA can scale up the number of served users and increase spectral efficiency compared with existing orthogonal multiple access (OMA). Conventional NOMA schemes with successive interference cancellation (SIC) do not work well when users with comparable received powers transmit together. To allow power-balanced NOMA (more exactly, near power-balanced NOMA), this paper investigates a new NOMA architecture, named Network-Coded Multiple Access (NCMA). A distinguishing feature of NCMA is the joint use of physical-layer network coding (PNC) and multiuser decoding (MUD) to boost NOMA throughputs. We first show that a simple NCMA architecture in which all users use the same modulation, referred to as rate-homogeneous NCMA, can achieve substantial throughput improvement over SIC-based NOMA under near power-balanced scenarios. Then, we put forth a new NCMA architecture, referred to as rate-diverse NCMA, in which different users may adopt different modulations commensurate with their relative SNRs. A challenge for rate-diverse NCMA is the design of a channel-coded PNC system. This paper is the first attempt to design channelcoded rate-diverse PNC. Experimental results on our software-defined radio prototype show that the throughput of rate-diverse NCMA can outperform the state-of-the-art rate-homogeneous NCMA by 80%. Overall, rate-diverse NCMA is a practical solution for near power-balanced NOMA.

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“…They include several non-orthogonal multiple access (NOMA) forms: multi-user shared multiple access (MUSA) [145][146][147][148], resource spread multiple access (RSMA) [149], sparse code multiple access (SCMA) [150][151][152], pattern division multiple access (PDMA) [153][154][155], interleave-division multiple access (IDMA) [156,157], and NOMA by power domain [158]. The NOMA is a radio access technology design for enabling greater spectrum efficiency [56,[159][160][161][162]207], higher cell-edge throughput, relaxed channel feedback, and low transmission latency [99].…”

Section: Multiple Access and Waveformsmentioning

confidence: 99%

IoT’s Tiny Steps towards 5G: Telco’s Perspective

Cero¹,

Husić

Baraković

2017

Symmetry

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Abstract:The numerous and diverse applications of the Internet of Things (IoT) have the potential to change all areas of daily life of individuals, businesses, and society as a whole. The vision of a pervasive IoT spans a wide range of application domains and addresses the enabling technologies needed to meet the performance requirements of various IoT applications. In order to accomplish this vision, this paper aims to provide an analysis of literature in order to propose a new classification of IoT applications, specify and prioritize performance requirements of such IoT application classes, and give an insight into state-of-the-art technologies used to meet these requirements, all from telco's perspective. A deep and comprehensive understanding of the scope and classification of IoT applications is an essential precondition for determining their performance requirements with the overall goal of defining the enabling technologies towards fifth generation (5G) networks, while avoiding over-specification and high costs. Given the fact that this paper presents an overview of current research for the given topic, it also targets the research community and other stakeholders interested in this contemporary and attractive field for the purpose of recognizing research gaps and recommending new research directions.

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Multi-User Shared Access for Internet of Things

Cited by 270 publications

References 9 publications

Dynamic Fractional Frequency Reuse Diversity Design for Intercell Interference Mitigation in Nonorthogonal Multiple Access Multicellular Networks

Dynamic Fractional Frequency Reuse Diversity Design for Intercell Interference Mitigation in Nonorthogonal Multiple Access Multicellular Networks

Practical Power-Balanced Non-Orthogonal Multiple Access

IoT’s Tiny Steps towards 5G: Telco’s Perspective

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