Summary The arrival of high‐speed internet facility such as the mmWave system or more commonly known as 5G wireless network is a prime impetus that is expected to be the driver for radical transformation in current communication methods. Apart from the numerous applications, an area where 5G is expected to be a game‐changer is the vehicle‐to‐everything or V2X network. This technology uses a road side unit (RSU) which provides wireless connectivity to vehicles, pedestrians, and so on, which may be either stationary or mobile so that their exact location can be known in real time. Researchers have demonstrated experimentally that 4G connectivity with such RSUs can provide a reliable low latency network for certain applications. For instance, for near‐perfect localization of each connected objects on the map, there is a need to stream GPS data, process semantic information from videos continually using computer vision. While these are simply for locating vehicles in real time so that road accident can be prevented. They are also the host of other features such as entertainment, health monitors, and mobile office that can be integrated inside a moving vehicle. To address the issues massive multi‐input multi‐output (MIMO), communication can be realized by using hybrid transceivers which uses a setup consisting of high‐dimensional analog phase shifters and power amplifier with dimensional digital signal processing units having low power. It is therefore vital to choose an apt beamforming design that will run on low energy. A comparison of different varieties of beamforming methodologies for determining the most efficient massive MIMO network is carried out here.

Summary The manifold increase in the number of cellular wireless network consumers has presented a monumental challenge to upgrade the current infrastructure for imparting superior throughput and good quality of service. End‐users of the network will want super high‐speed data with very low latency, as well as secure and with a lower packet data drop rate. Joint coordination between various network resources such as that of a dense heterogeneous network is crucial for achieving the above demands. It is also inevitable that such a dense arrangement of small cells or macro cells or other network equipment will be challenged by different forms of interference apart from being costly and less mobile. Beamforming is among the most advanced technology that is available up to date which has shown good results at handling interference and at guiding transmitted data to the desired end‐user. It is quite useful but also struggles from certain factors when deployed in a dense network. A thorough review of recent works of literature is detailed in the current paper with a focus placed on two major fields, which are interference mitigation techniques and gainful interference exploitation techniques. Some highly advanced interference mitigation techniques which are either developed or under development with their merits have been proposed. Most of these techniques use machine learning and artificial intelligence‐based methods to ensure the best quality of service (QoS) to every individual connected to the network. However some research works focused on negating away any kind of interference present in a signal, some focused on harnessing interference for optimizing the power of transmitted signals.

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