Cooperative Interference Management With MISO Beamforming

By Rui Zhang, Shuguang Cui. IEEE Transactions on Signal Processing, 2009

301 citations recorded by the source corpus.

In this correspondence, we study the downlink transmission in a multi-cell system, where multiple base stations (BSs) each with multiple antennas cooperatively design their respective transmit beamforming vectors to optimize the overall system performance. For simplicity, it is assumed that all mobile stations (MSs) are equipped with a single antenna each, and there is one active MS in each cell at one time. Accordingly, the system of interests can be modeled by a multiple-input single-output (MISO) Gaussian interference channel (IC), termed as MISO-IC, with interference treated as noise. We propose a new method to characterize different rate-tuples for active MSs on the Pareto boundary of the achievable rate region for the MISO-IC, by exploring the relationship between the MISO-IC and the cognitive radio (CR) MISO channel. We show that each Pareto-boundary rate-tuple of the MISO-IC can be achieved in a decentralized manner when each of the BSs attains its own channel capacity subject to a certain set of interference-power constraints (also known as interference-temperature constraints in the CR system) at the other MS receivers. Furthermore, we show that this result leads to a new decentralized algorithm for implementing the multi-cell cooperative downlink beamforming.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/bb64d1e65e3573e8e4a9c179e45b6196e052666e

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Citations in the corpus

An Overview of Massive MIMO: Benefits and Challenges (2014, background): “performance and the overhead of information exchange [41].”
Multi-Cell MIMO Cooperative Networks: A New Look at Interference (2010, methodology): “and [107] used a rate profile approach to reach the boundary points of the rate region.”