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Proceedings ArticleDOI

On the Achievable Rates over Collision-Prone Radio Resources with Linear Receivers

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TLDR
The relationship between target failure probability and saturation rate represents the maximum achievable rate over shared resources in the interference limited regime, and is derived from Maximum Ratio Combining and Minimum Mean Square Error receivers at the base station.
Abstract
In this paper, we discuss the achievable transmission rates over collision-prone radio resources shared by a number of devices, representative of novel Internet-of-Things (IoT) scenarios We consider Maximum Ratio Combining (MRC) and Minimum Mean Square Error (MMSE) receivers at the base station, and derive the relationship between target failure probability and saturation rate, which represents the maximum achievable rate over shared resources in the interference limited regime MRC receiver is shown to be sensitive to the presence of statistically relevant interferers operating over the same resources, rapidly leading to rate saturation The MMSE receiver adds a tier of protection to collisions thanks to its interference suppression capabilities, suffering for a rate penalty only in case of a high number of users A realistic system analysis in an indoor hotspot scenario validates the analytical trends and suggests insights on practical link adaptation strategies

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Citations
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Proceedings ArticleDOI

On the Multiplexing of Broadband Traffic and Grant-Free Ultra-Reliable Communication in Uplink

TL;DR: The analysis with 5G new radio assumptions shows that overlaying is mostly beneficial when SIC is employed in medium to high SNR scenarios or, in some cases, with low URLLC load, and the use of separate bands supports higher loads for both services simultaneously.
Journal ArticleDOI

Multi-cell Reception for Uplink Grant-Free Ultra-Reliable Low-Latency Communications

TL;DR: It is observed that multi-cell reception can provide URLLC capacity gains from 205% to 440% when the BSs are equipped with two receive antennas and 53% to 22% when BSs is equipped with four receive antennas, depending on whether the retransmissions are enabled.

Radio Resource Management for Uplink Grant-Free Ultra-Reliable Low-Latency Communications

TL;DR: This thesis proposes RRM enhancements for uplink GF with the purpose of increasing the URLLC capacity while fulfilling the UR LLC service requirements and proposes a repetition-based scheme for this purpose.
References
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Book

Probability, random variables and stochastic processes

TL;DR: This chapter discusses the concept of a Random Variable, the meaning of Probability, and the axioms of probability in terms of Markov Chains and Queueing Theory.
Journal ArticleDOI

Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends

TL;DR: The concept of software defined multiple access (SoDeMA) is proposed, which enables adaptive configuration of available multiple access schemes to support diverse services and applications in future 5G networks.
Book ChapterDOI

Probability, Random Variables, and Stochastic Processes

Dinesh Rajan
TL;DR: Probability theory as mentioned in this paper is a framework and tools to quantify and predict the chance of occurrence of an event in the presence of uncertainties, and also provides a logical way to make decisions in situations where the outcomes are uncertain.
Book

LTE for UMTS - OFDMA and SC-FDMA Based Radio Access

Harri Holma, +1 more
TL;DR: In this paper, the authors present an up-to-date overview of Long Term Evolution (LTE) in a systematic and clear manner, including an in-depth explanation of the background and standardization process before moving on to examine the system architecture evolution.
Journal ArticleDOI

Theoretical reliability of MMSE linear diversity combining in Rayleigh-fading additive interference channels

TL;DR: An exact closed-form solution for the reliability of an ideal M-branch MMSE (minimum mean-squared error) diversity combiner operating in a Rayleigh-fading channel with N interferers, each having some specified average power is derived.
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