The Mathematical Theory of Dynamic Load Balancing in Cellular Networks
IEEE Transactions on Mobile Computing
Feedback strategies for white Gaussian interference networks
IEEE Transactions on Information Theory
Interference Alignment and Degrees of Freedom of the -User Interference Channel
IEEE Transactions on Information Theory
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This work considers a network with K transmitters and receivers, where the transmit-receive association is not predetermined. It is thus an interference network where the pairing between transmitters and receivers can be optimized to improve performance. This model is designed to represent a cellular system where each transmitter (mobile) is attempting to determine the best receiver (base-station) to connect to so as to maximize throughput. It is shown that in the two transmit-receive case, it is always better for a user to communicate with the "stronger" base station, for a network with K 2 transmitters and receivers, there exists a range of channel realizations for which connecting mobiles with a "weaker" base station results in a higher network throughput than connecting to the base-station with the "stronger" signal.