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5th generation networks are envisioned to provide seamless and ubiquitousconnection to 1000-fold more devices and is believed to provide ultra-lowlatency and higher data rates up to tens of Gbps. Different technologiesenabling these requirements are being developed including mmWavecommunications, Massive MIMO and beamforming, Device to Device (D2D)communications and Heterogeneous Networks. D2D communication is a promisingtechnology to enable applications requiring high bandwidth such as onlinestreaming and online gaming etc. It can also provide ultra- low latenciesrequired for applications like vehicle to vehicle communication for autonomousdriving. D2D communication can provide higher data rates with high energyefficiency and spectral efficiency compared to conventional communication. Theperformance benefits of D2D communication can be best achieved when D2D usersreuses the spectrum being utilized by the conventional cellular users. Thisspectrum sharing in a multi-tier heterogeneous network will introduce complexinterference among D2D users and cellular users which needs to be resolved.Motivated by limited number of surveys for interference mitigation and resourceallocation in D2D enabled heterogeneous networks, we have surveyed differentconventional and artificial intelligence based interference mitigation andresource allocation schemes developed in recent years. Our contribution lies inthe analysis of conventional interference mitigation techniques and theirshortcomings. Finally, the strengths of AI based techniques are determined andopen research challenges deduced from the recent research are presented.

A Survey of Conventional and Artificial Intelligence / Learning based  Resource Allocation and Interference Mitigation Schemes in D2D Enabled  Networks