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 in-depth 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.
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This work was supported in part by the 111 Project (B16037), NSFC (61672410, 61802292), the Project of Cyber Security Establishment with Inter University Cooperation, the Secom Science and Technology Foundation.
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Li, Z., Li, J., Ding, J. et al. When and how much to neutralize interference? Balancing the benefits and cost of interference management. Wireless Netw (2020). https://doi.org/10.1007/s11276-020-02406-z
- Adaptive signal processing