Use the constant-retry version of slotted ALOHA. Fresh packets arrive in each slot as independent Poisson random variables of mean , and each first attempts in the next slot. Every already backlogged packet independently retries with the same fixed probability each slot. Transmission choices are independent of arrivals and past choices. Let be the number of old backlogged packets just before the slot , excluding the fresh packets about to make their first attempt. The number of attempts is , and records zero, one, or at least two attempts. Exactly one attempt succeeds and leaves; otherwise every fresh packet becomes backlogged. ThereforeThe arrivals are independent of , since that backlog depends only on earlier arrivals and choices. This convention explains the displayed one-slot index shift.
A throughput bound or positive drift alone does not prove eventual collisions in every slot. Instead use the collision-path coupling for slotted ALOHA. Set . Given old backlog , the probability of a noncollision, namely zero or one total attempts, isThe terms represent no fresh attempts and zero old attempts, one fresh attempt and no old attempts, or one old attempt and no fresh attempts. Start from backlog and couple to a hypothetical process in which no packet is ever removed. Until the first noncollision the two processes agree; after slots the hypothetical old backlog is , where is the sum of independent arrivals and hence has Poisson distribution of mean .
A first noncollision of the real process must therefore be a noncollision in this coupled process. The union bound givesWriting , the Poisson generating function gives and . Sum the geometric series and its derivative to obtainSince decays exponentially while the bracket grows only linearly, choose a finite threshold such that for every . Thus from any such backlog, there is conditional probability at least that every subsequent slot collides.
It remains to show that opportunities to use this bound recur, without assuming backlog transience. An arrival batch forces , since at most one packet departs. Such a batch has strictly positive probability independently in each slot; the waiting time for one is finite almost surely, even after a stopping time. At the first visit to backlog at least , begin an attempt at permanent collisions. If it fails, its first noncollision occurs at a finite stopping time; after that, another large arrival batch reaches the threshold and we start again. The Strong Markov property gives conditional failure probability at most for each attempt. The probability of consecutive failures is consequently at most . Letting tend to infinity provesFor , after a slot with at least two fresh packets the next old backlog is at least two, and all old packets retry forever; this gives the same conclusion. For the assertion is false. It also must not be applied to all adaptive protocols: backlog-aware ALOHA with arrival-adjusted attempt probabilities can be stable for sufficiently small arrival rates. The fixed-retry assumption is part of this mathematical model.
In a standard finite-population model, each of at most stations holds one pending packet, or at most one packet per station may attempt in a slot. Suppose fresh transmission probabilities are bounded below one and retries use . There is then a uniform positive conditional probability of no fresh attempts; all old packets stay silent with probability at least . Thus a slot is idle with conditional probability at least , regardless of the past. The chance that the next slots all collide is at most . Let and take the countable union over possible starting slots: eventual permanent collisions have probability zero. This is finite-population exclusion of permanent ALOHA collisions. Degenerate rules such as retry probability one can instead give absorbing collisions, so this conclusion needs the stated nondegeneracy conditions.
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