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An analytical framework to compute the expected number of successful transmission in a limited-ressource Aloha channel

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Introduction:

This repository contains an algorithm to compute the expected number of successful transmissions in a limited-ressource Aloha channel with a finite number of contending stations. The A-BFT beamforming training defined by the IEEE standard [1] is based on medium access method similar to that of the slotted Aloha protocol to resolve contension between multiple stations.

Problem Definition:

stations are trying to transmit a packet over one of the available time slots. Since all stations are contending over the same number of ressource, a collision may occur between two or multiple transmitting stations in which case, they retransmit again.

At the begining, all stations start by uniformly choosing a random backoff in . When multiple stations choose the same backoff value they collide and their transmission fails. As a consesequence each colliding station performs another backoff by uniformly selecting a number in and wait a corresponding number of time slots before trying again.

This process repeats until all collisions are resolved in which case we want to know how many stations succeeded their transmissions. That is, we want to find the probability distribution of the number of successfull transmissions once all collisions have been resolved.

Model Description

Let be an initial state of the system where is the number of stations that chose slot . We have . The set of all posible initial states is the of weak -compositions into parts [2]. The probability of a possible initial state of the system is:

A station that collides and choose a backoff greater or equal than the number of remaining slots will quite the race and won't be able to succeed its transmission. In this case, we can imagine that such a station choses an imaginary time slot beyond tha last time slot in which all transmission are destined to fail.

Now let be any possible state of the systems such that , where is the number of stations that chose the imaginary slot. As the above figure shows if , the collding stations will uniformly be distributed over the remaining slots.

Algorithmic Solution:

Our algorithm iteratively runs the process described in the figure above for a given number of stations and time slots until all collisions are resolved. We use it to compute the expected number of successful transmissions given and .

Requirements:

A working installation of the GNU C++ Compiler is required.

Tested with gcc version 5.4.0.

Usage:

./compile.sh

./success_rate n ns where n is the number of contending stations and ns the number of time slots.

Results are logged in success_ns_slots.proba

References:

[1] "IEEE Standards 802.11ad-2012: Enhancements for Very High Throughput in the 60 GHz Band", 2012.

[2] Richard P. Stanley, "Enumerative Combinatorics: Volume 1", Wadsworth & Brooks/Cole, 1986.

[3] https://ieeexplore.ieee.org/document/9142751

[4] https://ieeexplore.ieee.org/document/9349764/

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An analytical framework to compute the expected number of successful transmission in a limited-ressource Aloha channel

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