Machine-to-Machine Communications in Ultra-Dense Networks—A Survey

Chen, Shuyi; Ma, Ruofei; Chen, Hsiao‐Hwa; Zhang, Hong; Meng, Weixiao; Liu, Shiyuan

doi:10.1109/comst.2017.2678518

Cited by 119 publications

(81 citation statements)

References 126 publications

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“…Several survey papers exist in the literature in the context of dynamic spectrum sharing and spectral coexistence covering a wide range of areas such as spectrum occupancy modeling and measurements [29,30], interweave DSS [31,32,34], underlay DSS [35][36][37], overlay DSS [38], MAC protocols for DSS [39], spectrum decision [43], spectrum assignment [44], security for DSS [40], learning for DSS [41,42], DSS under practical imperfections [13], licensed spectrum sharing [61][62][63] IoT, M2M and D2D [64][65][66][67] techniques [45], and the coexistence of LTE and WiFi [46]. Furthermore, the contribution in [37] provided a comprehensive review of radio resource allocation techniques for efficient spectrum sharing based on different design techniques such as transmission power-based versus SINRbased, and centralized versus distributed method, and further provided various requirements for the efficient resource allocation techniques.…”

Section: B Related Workmentioning

confidence: 99%

“…In the direction of energy-efficient 5G communications, authors in [53,54] provided a detailed survey of the existing works in the areas of energy-efficient techniques for 5G networks and analyzed various green trade-offs, namely, spectrum efficiency versus energy efficiency, delay versus power, deployment efficiency versus energy efficiency, and bandwidth versus power for the effective design of energy-efficient 5G networks [53]. In addition, several survey and overview papers exist in the area of 5G enabling technologies such as massive MIMO [7,[55][56][57], mmWave [7,8,58], Non Orthogonal Multiple Access (NOMA) [59,60], cellular and heterogeneous networks [61][62][63], Internet of Things (IoT) [66,68], Machine to Machine (M2M) communication [64][65][66] and Device to Device (D2D) communication [67].…”

Section: B Related Workmentioning

confidence: 99%

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Dynamic Spectrum Sharing in 5G Wireless Networks With Full-Duplex Technology: Recent Advances and Research Challenges

Sharma

Bogale

et al. 2018

IEEE Commun. Surv. Tutorials

203

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Full-Duplex (FD) wireless technology enables a radio to transmit and receive on the same frequency band at the same time, and it is considered to be one of the candidate technologies for the fifth generation (5G) of wireless communications due to its advantages including potential doubling of the capacity, reduced end-to-end and feedback delays, improved network secrecy and efficiency, and starting with a detailed overview of FD-enabled DSS, we provide a comprehensive survey of recent advances in this domain. We then highlight several potential techniques for enabling FD operation in DSS wireless systems. Subsequently, we propose a novel communication framework to enable CST in DSS systems by employing a power control-based SI mitigation scheme and carry out the throughput performance analysis of this proposed framework. Finally, we discuss some open research issues and future directions with the objective of stimulating future research efforts in the emerging FD-enabled DSS wireless systems.

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Section: B Related Workmentioning

confidence: 99%

Section: B Related Workmentioning

confidence: 99%

Dynamic Spectrum Sharing in 5G Wireless Networks With Full-Duplex Technology: Recent Advances and Research Challenges

Sharma

Bogale

et al. 2018

IEEE Commun. Surv. Tutorials

203

View full text Add to dashboard Cite

show abstract

“…Although the Internet has traditionally been dominated by human‐to‐human (H2H) communication, the past decade has witnessed a rapid rise in machine‐type communications (MTC) that include human‐to‐machine (H2M), machine‐to‐human (M2H), and machine‐to‐machine (M2M) communications. This has given rise to the Internet of Things (IoT), a network that connects devices that carry out both H2H communications and MTC . For a fully fledged IoT, communication networks should be able to support heterogeneity in devices ranging from transmit power to required data rates .…”

Section: Introductionmentioning

confidence: 99%

“…[1][2][3] For a fully fledged IoT, communication networks should be able to support heterogeneity in devices ranging from transmit power to required data rates. 3,4 Although several existing technologies can support high transmit power devices over both short and long ranges and others support low transmit power devices over short ranges, most cannot support low transmit power devices over long ranges. 3 Furthermore, the cost of licensed spectrum is prohibitive for some IoT applications, mainly those involving MTC, which makes using license-exempt bands an attractive alternative.…”

Section: Introductionmentioning

confidence: 99%

“…3,4 Although several existing technologies can support high transmit power devices over both short and long ranges and others support low transmit power devices over short ranges, most cannot support low transmit power devices over long ranges. 3 Furthermore, the cost of licensed spectrum is prohibitive for some IoT applications, mainly those involving MTC, which makes using license-exempt bands an attractive alternative. However, the 2.4-and 5-GHz bands are congested and owing to their propagation characteristics are more suited for high data-rate short-range communications.…”

Section: Introductionmentioning

confidence: 99%

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AID‐based backoff for throughput enhancement in 802.11ah networks

Nabuuma

Alsusa

Baidas

2019

Int J Communication

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Summary IEEE 802.11ah is a WiFi standard developed to address requirements associated with the heterogeneous nature of the Internet of Things. It uses the sub‐1 GHz bands to enable long‐range transmissions for low‐power devices. However, long‐range coverage exacerbates the hidden node problem. To mitigate this problem, sectorization and grouping have been proposed by the standard. In this paper, hierarchical clustering and a modified Welsh‐Powell algorithm are combined to create hidden node‐free groups in a sectorized wireless local area network. An analytical model is developed for a deterministic backoff technique that uses association identifiers to set the backoff in order to eliminate collisions. The performance of the deterministic backoff technique is compared with that of existing schemes. Our results show that this approach results in higher throughput and lower latency than other deterministic backoff techniques.

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Energy‐efficient resource allocation for lifetime maximization in M2M networks

Tarerefa

Falowo

Ventura

2020

Int J Communication

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SummaryMachine‐to‐machine (M2M) communications is one of the major enabling technologies for the realization of the Internet of Things (IoT). Most machine‐type communication devices (MTCDs) are battery powered, and the battery lifetime of these devices significantly affects the overall performance of the network and the quality of service (QoS) of the M2M applications. This paper proposes a lifetime‐aware resource allocation algorithm as a convex optimization problem for M2M communications in the uplink of a single carrier frequency division multiple access (SC‐FDMA)‐based heterogeneous network. A K‐means clustering is introduced to reduce energy consumption in the network and mitigate interference from MTCDs in neighbouring clusters. The maximum number of clusters is determined using the elbow method. The lifetime maximization problem is formulated as a joint power and resource block maximization problem, which is then solved using Lagrangian dual method. Finally, numerical simulations in MATLAB are performed to evaluate the performance of the proposed algorithm, and the results are compared to existing heuristic algorithm and inbuilt MATLAB optimal algorithm. The simulation results show that the proposed algorithm outperforms the heuristic algorithm and closely model the optimal algorithm with an acceptable level of complexity. The proposed algorithm offers significant improvements in the energy efficiency and network lifetime, as well as a faster convergence and lower computational complexity.

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Machine-to-Machine Communications in Ultra-Dense Networks—A Survey

Cited by 119 publications

References 126 publications

Dynamic Spectrum Sharing in 5G Wireless Networks With Full-Duplex Technology: Recent Advances and Research Challenges

Dynamic Spectrum Sharing in 5G Wireless Networks With Full-Duplex Technology: Recent Advances and Research Challenges

AID‐based backoff for throughput enhancement in 802.11ah networks

Energy‐efficient resource allocation for lifetime maximization in M2M networks

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