Achievable Degrees of Freedom for Closed-form Solution to Interference Alignment and Cancellation in Gaussian Interference Multiple Access Channel
Qu Xin, Chung G. Kang

TL;DR
This paper derives the maximum degrees of freedom achievable by a closed-form interference alignment and cancellation scheme in Gaussian interference multiple access channels, showing it outperforms classical IA in certain configurations.
Contribution
It provides a closed-form analysis of the achievable DoFs for a suboptimal IAC transceiver, surpassing classical IA bounds and offering performance bounds for practical scenarios.
Findings
Maximum total DoFs of 2M achieved by the closed-form IAC transceiver.
Closed-form IAC outperforms classical IA in certain configurations.
Performance within 20% of the upper bound for small K (<=4).
Abstract
A combined technique of interference alignment (IA) and interference cancellation (IC), known as interference alignment and cancellation (IAC) scheme, has been proposed to improve the total achievable degrees of freedom (DoFs) over IA. Since it is NP-hard to solve the transceiver under a given tuple of DoFs or to maximize the total achievable DoFs in the general system configuration by IA (or IAC), the optimal transceiver cannot be obtained in polynomial time. Meanwhile, it has been known that a closed-form yet suboptimal transceiver can be designed for IAC by employing a symbol-to-symbol (STS) alignment structure. As its performance has not been known yet, we aim to derive the total DoFs that can be achieved by such suboptimal but closed-form IAC transceivers for Gaussian interference multiple access channels with K receivers and J users (transmitters), each with M antennas. Our…
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Taxonomy
TopicsAdvanced Wireless Communication Techniques · Advanced MIMO Systems Optimization · Advanced Wireless Communication Technologies
