Resource Allocation Strategy in Multiple Access Interference Channel

Duality relations among achievable QoS parameters help us transform the problems in the broadcast channel to convex problems in multiple access channels. But a multiple access channel being considered as dual of a broadcast channel must exploit the additional freedom of power allocation traditionally considered only in a broadcast channel. This work proposes a novel algorithm for optimising the sum-capacity of a multiple access channel under sum power constraint where the users are coupled by individual power usage as well as interference. Optimal resource allocation has a certain distributed feature which can be exploited to formulate the algorithm. Power allocation problem for an arbitrary number of users is solved by dealing with only two users at a time. The algorithm gives insights about how the decoding priority affects achievable rates of different users which have been used for further characterisation of a rate region boundary. Simulation results have been presented in the end to support the theoretical arguments.