Abstract:
Non orthogonal multiple access (NOMA) and mobile edge computing (MEC)
are evolving as key enablers for future fifth generation (5G) networks as this
combination can provide high spectral efficiency, massive connectivity, improved quality-of-service (QoS), and lower latency. In this research, we aim
to minimize the transaction time difference of NOMA paired users, where
the users have disparate amount of data to send to the MEC servers, which
have variable computing capabilities. The transaction time includes both
the transmission time of data and the computational time of the servers.
The equalization of transaction time for paired users reduces the wastage of
both frequency and computational resources. The transaction time difference is minimized by optimizing the transmission power of the users and the
computational resources of severs using a successive convex approximation
method. The results show that the proposed scheme reduces the transaction
time difference of the two paired users from hundreds of seconds to just a few
seconds; thereby conserving the resources. .The percentage improvement in
effective throughput of the system is shown to be 19% on average.