Towards Massive, Ultra-Reliable, and Low-Latency Wireless Communication with Short Packets

By Giuseppe Durisi, Tobias Koch, Petar Popovski. 2015

1,128 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/8eac599238ab32a37b85a758e7cc11019f43ae5b

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Citations in the corpus

5G Wireless Network Slicing for eMBB, URLLC, and mMTC: A Communication-Theoretic View (2018, methodology): “Extensions of our analysis to capture finite-blocklength effects [14] will be considered”
Massive Access for 5G and Beyond (2020, background): “2, the evolution from multiple access to massive access is not only driven by a massive number of IoT devices, but also has to address the following critical issues [36], [37]:”
Wireless Access in Ultra-Reliable Low-Latency Communication (URLLC) (2018, methodology): “een outage, reliability, latency, and deadline. of the basic assumptions about URLLC is that they involve small payloads. This naturally creates the association with the transmission of short packets [3] and the use of ﬁniteblocklength information theory. It is instructive to look at the basic choic”
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial (2017, background): “Such massive short-packet transmissions will lead to a substantial traffic over the wireless uplink, which has traditionally been much less congested than the downlink [10].”
Joint Scheduling of URLLC and eMBB Traffic in 5G Wireless Networks (2017, background): “Beyond standards, recent work has focused on system level design for such systems (overheads, packet sizes, control channel structure, etc.) [3], [10], [11].”
Ultra-Reliable Low Latency Cellular Networks: Use Cases, Challenges and Approaches (2017, background): “Low-density parity check (LDPC) codes and polar codes have been reported to achieve almost 95 percent of the PPV bound at block error rates as low as 10–7 for block lengths of a few hundred symbols [11].”
Martingales-Based Energy-Efficient D-ALOHA Algorithms for MTC Networks With Delay-Insensitive/URLLC Terminals Co-Existence (2018, background): “Most importantly, short packets with finite block-length represent the most common form of traffic in MTC networks [23].”
A Survey on Low Latency Towards 5G: RAN, Core Network and Caching Solutions (2017, background): “Reference Approach Summary [34], [35], [36] Transmission of small packets Transmission of small scale data is investigated for packet loss rate of 10 − 9 and latency as low as 1 ms. [37] Subcarrier spacing Subcarrier spacing is enlarged to shorten the OFDM symbol duration, and the number of OFDM…”
A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges (2022, background): “Some recent research in [74], [75] provides the first step toward building highperformance wireless networks to support next-generation Internet services.”
A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning (2021, background): “Since then, great efforts have been devoted to this area [6], [14], [72]–[76].”
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications (2020, background): “Its derivation relies on assuming an infinite packet length n → ∞ to ensure the zero packet error probability → 0 [101] and, thus, becomes a tight approximation for large packets.”
Distributed Federated Learning for Ultra-Reliable Low-Latency Vehicular Communications (2018, background): “imated achievable rate derived for the finite block length regime from [41], [42] yielding ru ≈ W ( log2(1 + γu) − √ 2γu(γu+2)erfc −1(2ε) √ D(γu+1) ln 2 ) where γu, D, and ε are the signal-tointerference and noise ratio, the block length, and the error”
A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems (2019, background): “2) Massive URLLC: 5G URLLC meant meeting reliability and latency of very specific uplink IoE applications such as smart factories, for which prior work [6] provided the needed fundamentals.”
Radio Resource Management for Ultra-Reliable and Low-Latency Communications (2017, methodology): “1(b), if UL transmission of a packet is finished in one frame, the number of symbols for transmitting one packet is L = DtW , which is also referred to as blocklength of channel codes in [5].”
Toward Massive Machine Type Communications in Ultra-Dense Cellular IoT Networks: Current Issues and Machine Learning-Assisted Solutions (2018, background): “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…”
Machine Learning for Wireless Networks with Artificial Intelligence: A Tutorial on Neural Networks (2017, background): “t monitor physical environments. Such massive short-packet transmissions will lead to a substantial trafﬁc over the wireless uplink, which has traditionally been much less congested than the downlink [10]. This same wireless network must also support cloud-based gaming [11], immersive virtual realit”