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—This paper considers the optimization of the user and base-station (BS) association in a wireless downlink heterogeneous cellular network under the proportional fairness criterion. We first consider the case where each BS has a single antenna and transmits at fixed power, and propose a distributed price update strategy for a pricing-based user association(More)
This paper considers the optimal association of remote user terminals to different cells in a heterogeneous network for load balancing. Assuming fixed transmit powers at the base-stations, we adopt a network utility maximization formulation with a proportional fairness objective and show that the downlink user association problem can be solved efficiently(More)
—This paper proposes a coordinated joint uplink user scheduling and power control algorithm across multiple cells in a wireless cellular network. The uplink scheduling and power control problem is more challenging than the downlink, because the uplink interference pattern strongly depends on the schedule decisions of the neighboring cells. This paper(More)
This paper studies the potential benefit of joint load balancing and interference mitigation in the uplink wireless network through optimized cell association and user scheduling across multiple cells. Coordinating uplink transmission is considerably more challenging than the downlink, because the uplink interference strongly depends on the transmission(More)
This paper proposes a joint uplink user scheduling and beam-forming algorithm for a multiple-antenna wireless cellular network. We show that coordinated optimization across the cells can significantly alleviate intercell interference, thereby improving the cell-edge rates in a multicell network. Unlike the downlink case, coordinating uplink transmission in(More)
Interference management is a fundamental problem for the device-to-device (D2D) network, in which transmitter and receiver pairs may be arbitrarily located geographically with full frequency reuse, so active links may severely interfere with each other. This paper devises a new optimization strategy called FPLinQ that coordinates link scheduling decisions(More)
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