On the Capacity of Ad Hoc Networks Under Random Packet Losses

We consider the problem of determining asymptotic bounds on the capacity of a random
ad

hoc
network. Previous approaches assumed a link layer model in which if a transmitter-receiver pair can communicate with each other, i.e., the signal to interference and noise ratio (SINR) is above a certain threshold, then the transmitted packet is received error-free by the receiver thereby. Using this model, the per node capacity of the network was shown to be Theta(
<sub>radic(n

log

n)</sub>
/
¹
). In reality, for any finite link SINR, there is a nonzero probability of erroneous reception of the packet. We show that in a large network, as the packet travels an asymptotically large number of hops from source to destination, the cumulative impact of packet losses over intermediate links results in a per-node throughput of only
O
(
_radic(n)
/
¹
) under the previously proposed routing and scheduling strategy. We then propose a new scheduling scheme to counter this effect. The proposed scheme provides tight guarantees on end-to-end packet loss probability, and improves the per-node throughput to Omega(
<sub>radic(n)(log

n)</sub>
/
¹
2
_(alpha-2)
/
^alpha+2
) where
alpha

>

2
is the path loss exponent.