Cognitive Radio Method and Apparatus for Achieving ad hoc Interference Multiple Access Wireless Communication

Radio networks typically involve numerous users sharing limited resources, often leading to conflicts and inefficient use of channels. Finding an efficient way to share these channels has been a significant challenge. There is a pronounced need for technology that caters not only to the primary objective of achieving the desired user rate but also to producing minimal disruption for others. Current approaches predominantly focus on the "selfish" objective of optimizing their own network performance, often at the expense of other users. Consequently, this selfish approach generates a cluttered and discordant network environment, hampering both network performance and user experience. Moreover, these methods commonly prove to be short-sighted as they disregard the longer-term implications of enabling a harmonious network system.

Technology Description

The invention is a method and an apparatus designed for use in a radio network that consists of multiple "first users on channels" (FUOCs) and one or more "second users on channel" (SUOCs). This solution aids a SUOC in deciding on a channel to co-occupy by seeking a judicious equilibrium between achieving the desired SUOC rate (selfish goal) and creating minimal disturbance to the FUOC (altruistic goal). To do so, the SUOC gathers signal parameters from multiple FUOCs, assigns an order to the FUOCs on the basis of distinct parameters, and strives to coexist with the FUOCs until an appropriate FUOC channel is found. What sets this technology apart is its balance between user-specific requirements and overall network harmony. While most existing technologies focus on maintaining their own network performance, this technology goes one step further by incorporating the altruistic aspect. It takes into account the impact on other users, thus fostering a more harmonious network environment. This approach, though appearing straightforward, is a compelling departure from traditional methods and can lead to more balanced network traffic and user satisfaction.