Full-Duplex Bidirectional MIMO: Achievable Rates Under Limited Dynamic Range

Brian P. Day, Adam R. Margetts, Daniel W. Bliss, Philip Schniter

IEEE Transactions on Signal Processing · 2012 · 359 citations · 35 references

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TL;DR

Full‑duplex bidirectional MIMO is limited by the close proximity of transmit and receive antennas, causing transmitted signals to exceed receiver dynamic range and impairing recovery of desired signals. This work investigates full‑duplex bidirectional communication between two multi‑antenna modems. Using pilot‑aided channel estimates, the authors perform transmit and receive beamforming and interference cancellation, model dynamic‑range constraints, derive tight sum‑rate bounds, and propose a transmission scheme that maximizes the lower bound via numerical solution of a non‑convex optimization problem, while studying sum‑rate dependence on SNR, INR, dynamic range, antenna count, and training length against optimized half‑duplex. An analytic approximation of the achievable sum‑rate is derived and shown to be highly accurate through numerical evaluation.

Abstract

In this paper, we consider the problem of full-duplex bidirectional communication between a pair of modems, each with multiple transmit and receive antennas. The principal difficulty in implementing such a system is that, due to the close proximity of each modem's transmit antennas to its receive antennas, each modem's outgoing signal can exceed the dynamic range of its input circuitry, making it difficult-if not impossible-to recover the desired incoming signal. To address these challenges, we consider systems that use pilot-aided channel estimates to perform transmit beamforming, receive beamforming, and interference cancellation. Modeling transmitter/receiver dynamic-range limitations explicitly, we derive tight upper and lower bounds on the achievable sum-rate, and propose a transmission scheme based on maximization of the lower bound, which requires us to (numerically) solve a nonconvex optimization problem. In addition, we derive an analytic approximation to the achievable sum-rate, and show, numerically, that it is quite accurate. We then study the behavior of the sum-rate as a function of signal-to-noise ratio, interference-to-noise ratio, transmitter/receiver dynamic range, number of antennas, and training length, using optimized half-duplex signaling as a baseline.

References

35