Random access for machine-to-machine communication in LTE-advanced networks: issues and approaches

By M. Hasan, Ekram Hossain, Dusist Niyato. 2013

555 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Electrical and Electronic Engineering

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In Biomedical Engineering

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Citations in the corpus

Machine-type communications: current status and future perspectives toward 5G systems (2015, background): “…2 illustrates the network access procedure and signaling messages for transmitting 100 bytes of data from a device to a serving connection establishment and security procedures When the RRC connection is established, device transmits the information data and then releases the connection [12].”
Massive Non-Orthogonal Multiple Access for Cellular IoT: Potentials and Limitations (2016, background): “Frequent preamble retransmissions however leads to network congestion, increasing delays, packet loss, high energy consumption, excessive signaling overhead, and radio resource wastage [5].”
Internet of Things (IoT): A Review of Its Enabling Technologies in Healthcare Applications, Standards Protocols, Security, and Market Opportunities (2021, background): “The new technologies long-term evolution-advanced (LTE-A) encompasses tremendous impact protocols on human possibilities as the world continues to become more connected using 5G and the evolution of 4G for machine-type communications (MTCs) [39].”
Software Defined Optical Networks (SDONs): A Comprehensive Survey (2015, background): “At the same time, machine-to-machine communication [462], [463] and energy savings [464], [465] have drawn research attention.”
5G Internet of Things: A survey (2018, background): “The HetNet was initially designed for human to human (H2H) communication, while MTC applications are characterized by some unique features such as huge number of devices, high frequency access of network and stringent QoS requiements during emergency situations [45]”
Compressive Sensing-Based Adaptive Active User Detection and Channel Estimation: Massive Access Meets Massive MIMO (2019, background): “For contention-free RA, the BS ﬁrst allocates dedicated preambles to the active UEs, which are then transmitted by the UEs, and ﬁnally the BS responds to the requesting UEs without further contention resolution [4].”
Toward Massive Machine Type Communications in Ultra-Dense Cellular IoT Networks: Current Issues and Machine Learning-Assisted Solutions (2018, methodology): “Sub-topics References Enabling technologies/protocols, challenges and applications [1,2,6,11,14,28–32] Random access schemes [22,33–35] IoT/mMTC Trafﬁc characterization and issues [36] Transmission scheduling [37,38] IoT big data analytics [19,39,40] QoS provisioning [41] Intelligence in 5G…”
Massive Connectivity With Massive MIMO—Part I: Device Activity Detection and Channel Estimation (2017, background): “For example, [6]–[8] investigate a random access protocol in which each active user picks one of the orthogonal signature sequences at random and sends it to the BS, and a connection is established if the selected preamble is not used by the other users.”
Sparse Signal Processing for Grant-Free Massive Connectivity: A Future Paradigm for Random Access Protocols in the Internet of Things (2018, background): “Grant-based random access schemes The common user access approach in cellular systems is to perform grant-based random access using the dedicated randomaccess control channel so that the uncoordinated devices can contend for physical-layer resource blocks for data transmission [3], as illustrated in”