2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications 2020
DOI: 10.1109/pimrc48278.2020.9217147
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On the Uplink Transmission Performance of URLLC With Interference Channel

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Cited by 6 publications
(3 citation statements)
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“…In [5], [6], the authors analyzed the signal-tointerference ratio (SIR) meta distribution for UL networks in the AR. In contrast, [7], [8] considered the FBR. [7] studied the average coding rate, rate outage probability, and coding rate meta-distribution for a downlink (DL) large-scale network.…”
Section: Introductionmentioning
confidence: 99%
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“…In [5], [6], the authors analyzed the signal-tointerference ratio (SIR) meta distribution for UL networks in the AR. In contrast, [7], [8] considered the FBR. [7] studied the average coding rate, rate outage probability, and coding rate meta-distribution for a downlink (DL) large-scale network.…”
Section: Introductionmentioning
confidence: 99%
“…[7] studied the average coding rate, rate outage probability, and coding rate meta-distribution for a downlink (DL) large-scale network. However, [8] studied the delay-bound violation probability under a given end-to-end latency bound in an UL multicell interference channel, and maximized the transmission reliability by optimizing the transmission rate.…”
Section: Introductionmentioning
confidence: 99%
“…Many works [10]- [12] in this area are empirically based, aimed at determining what types of codes (e.g., LDPC and polar codes) are most suited for ultrareliable low-latency communications (URLLC). Another group of works analyze the tail behavior of the extreme events in ultrareliable communications, typically by means of the extreme value theory [13], [14] and the stochastic network calculus [2], [15]. For the system level design of ultrareliable communications, resource allocation has attracted considerable research interests, often in conjunction with newly emerging techniques of the next-generation networks, such as network slicing [16], non-orthogonal multiple access (NOMA) [17], [18], and massive multiple-input multiple-output (MIMO) [19].…”
mentioning
confidence: 99%