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Related papers: Recurrence region of multiuser Aloha

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A well-known inner bound on the stability region of the finite-user slotted Aloha protocol is the set of all arrival rates for which there exists some choice of the contention probabilities such that the associated worst-case service rate…

Information Theory · Computer Science 2017-01-06 Nan Xie , John MacLaren Walsh , Steven Weber

Stability region of random access wireless networks is known for only simple network scenarios. The main problem in this respect is due to interaction among queues. When transmission probabilities during successive transmissions change,…

Networking and Internet Architecture · Computer Science 2014-06-18 Farzaneh Farhadi , Farid Ashtiani

Most bounds on the stability region of Aloha give necessary and sufficient conditions for the stability of an arrival rate vector under a specific contention probability (control) vector. But such results do not yield easy-to-check bounds…

Information Theory · Computer Science 2016-11-18 Nan Xie , Steven Weber

We consider framed slotted Aloha where $m$ base stations cooperate to decode messages from $n$ users. Users and base stations are placed uniformly at random over an area. At each frame, each user sends multiple replicas of its packet…

Information Theory · Computer Science 2014-01-28 Dusan Jakovetic , Dragana Bajovic , Dejan Vukobratovic , Vladimir Crnojevic

In this paper, we generalize a positive recurrence criterion for multidimensional discrete-time Markov chains over countable state spaces due to Rosberg (JAP, Vol. 17, No. 3, 1980). We revisit the stability analysis of well known…

Information Theory · Computer Science 2009-06-08 Sayee C. Kompalli , Ravi R. Mazumdar

Slotted Aloha has been widely adopted in various communication networks. Yet if the transmission probabilities and traffic input rates of transmitters are not properly regulated, their data queues may easily become unstable. For stability…

Networking and Internet Architecture · Computer Science 2024-06-05 Yunshan Yang , Lin Dai

We describe an algorithm that takes as input a complex sequence $(u_n)$ given by a linear recurrence relation with polynomial coefficients along with initial values, and outputs a simple explicit upper bound $(v_n)$ such that $|u_n| \leq…

Symbolic Computation · Computer Science 2013-06-19 Marc Mezzarobba , Bruno Salvy

In this paper, we focus on the throughput of random access with power-domain non-orthogonal multiple access (NOMA) and derive bounds on the throughput. In particular, we demonstrate that the expression for the throughput derived in [1] is…

Information Theory · Computer Science 2021-10-26 Jinho Choi

Accommodating the needs of a large number of diverse users in the Internet of Things (IoT), notably managing how the users access the common channel, has posed unique challenges to the network designers. In this paper, we study a…

Networking and Internet Architecture · Computer Science 2016-05-31 Moslem Noori , Samira Rahimian , Masoud Ardakani

Here, we give upper and lower bounds on the count of positive integers $n\le x$ dividing the $n$th term of a nondegenerate linearly recurrent sequence with simple roots.

Number Theory · Mathematics 2011-02-02 Juan Jose Alba Gonzalez , Florian Luca , Carl Pomerance , Igor Shparlinski

This two-part paper series studies the performance of buffered Aloha networks with K-Exponential Backoff collision resolution algorithms. Part I focuses on stability and throughput analysis and Part II presents the delay analysis. In Part…

Networking and Internet Architecture · Computer Science 2009-07-27 Tony T. Lee , Lin Dai

In this paper, we discuss a non-orthogonal multiple access (NOMA) scheme to exploit a high diversity gain using repetition, namely repetition-based NOMA. Unlike conventional power-domain NOMA, all the users can have the same transmit power,…

Information Theory · Computer Science 2020-04-03 Jinho Choi

We present a framework to derive upper bounds on the number of regions that feed-forward neural networks with ReLU activation functions are affine linear on. It is based on an inductive analysis that keeps track of the number of such…

Machine Learning · Statistics 2020-03-10 Peter Hinz , Sara van de Geer

A well-known inner bound of the stability region of the slotted Aloha protocol on the collision channel with n users assumes worst-case service rates (all user queues non-empty). Using this inner bound as a feasible set of achievable rates,…

Information Theory · Computer Science 2016-05-06 Nan Xie , Steven Weber

Based on a stochastic geometry framework, we establish an analysis of the multi-hop spatial reuse aloha protocol (MSR-Aloha) in ad hoc networks. We compare MSR-Aloha to a simple routing strategy, where a node selects the next relay of the…

Information Theory · Computer Science 2010-01-20 Olfa Ben Sik Ali , Christian Cardinal , Francois Gagnon

This paper uses a spatial Aloha model to describe a distributed autonomous wireless network in which a group of transmit-receive pairs (users) shares a common collision channel via slotted-Aloha-like random access. The objective of this…

Information Theory · Computer Science 2016-11-17 Jiangbin Lyu , Yong Huat Chew , Wai-Choong Wong

Nearly linear recurrences are a generalisation of linear recurrences and are instances of linear time-invariant systems in control theory and linear constraint loops in program analysis. In this paper we formulate the Positivity Problem for…

Dynamical Systems · Mathematics 2026-03-04 Amaury Pouly , Mahsa Shirmohammadi , James Worrell

Random multiple-access protocols of type ALOHA are used to regulate networks with a star configuration where client nodes talk to the hub node at the same frequency (finding a wide range of applications among telecommunication systems,…

Probability · Mathematics 2012-11-07 Maria Frolkova , Sergey Foss , Bert Zwart

We study multiple base station, multi-access systems in which the user-base station adjacency is induced by geographical proximity. At each slot, each user transmits (is active) with a certain probability, independently of other users, and…

Information Theory · Computer Science 2014-01-28 Dragana Bajovic , Dusan Jakovetic , Dejan Vukobratovic , Vladimir Crnojevic

We can compare the expressiveness of neural networks that use rectified linear units (ReLUs) by the number of linear regions, which reflect the number of pieces of the piecewise linear functions modeled by such networks. However,…

Machine Learning · Computer Science 2019-12-17 Thiago Serra , Srikumar Ramalingam
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