When and how much to neutralize interference? Balancing the benefits and cost of interference management
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When and how much to neutralize interference? Balancing the benefits and cost of interference management Zhao Li1
•
Jun Li1 • Jiamin Ding2 • Ke Long2 • Jia Liu3
Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Interference management (IM) is essential to wireless communication systems, but it is also known to consume transmission resource such as power and degree of freedom, hence degrading users’ achievable spectral efficiency (SE). Therefore, it is important to select an appropriate IM method with optimal operating parameters so as to balance the benefits brought by and the cost of IM. Interference neutralization (IN) has recently been receiving considerable attention, with which a duplicate of interference of the same strength and opposite phase with respect to the original interfering signal is generated to neutralize the disturbance at the intended receiver. However, to the best of our knowledge, all existing IN schemes assume that interference is completely neutralized without accounting for their power consumption. To remedy this deficiency, we propose a novel scheme, called dynamic interference neutralization (DIN). By intelligently determining the appropriate portion of interference to be neutralized, we balance the transmitter’s power used for IN and the desired signal’s transmission. We then extend the proposed DIN to general cases where the numbers of interferences, desired data streams, as well as pico base stations and pico user equipments, are variables. Moreover, in addition to the design under asymmetric interference topology, the application of DIN in symmetric interference situation is also presented. Our indepth analysis and simulation have shown that the proposed strategy can make better use of the transmit power than existing IM methods, hence enhancing users’ SE. Keywords Interference Cost Adaptive signal processing
1 Introduction With the rapid development of wireless communication technologies as well as the increasing density of link connectivity, interference becomes a key impediment in network performance, and thus, interference management (IM) has become a critical issue that warrants a thorough investigation [1, 2]. There have been numerous IM schemes proposed thus far, such as zero-forcing beamforming (ZFBF) [3], zero-forcing (ZF) reception [4],
& Zhao Li [email protected] 1
School of Cyber Engineering, Xidian University, Xi’an 710126, Shaanxi, China
2
School of Telecommunications, Xidian University, Xi’an, China
3
National Institute of Informatics, Tokyo, Japan
interference alignment (IA) [5–7], interference neutralization (IN) [8–11], and interference steering (IS) [12, 13]. They are all designed to suppress, adjust or eliminate interference so as to improve network capacity and users’ experience. Of these IM methods, IA is attractive and under development in recent years [5–7]. By pre-processing at the transmitter, multiple interfering signals are mapped into a finite subspace, so that the desi
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