Weighted CDF-based scheduling for an OFDMA relay downlink with partial feedback

Modern wireless systems are targeted to support various services to a variety of equipment. The services such as sending texts, images, and videos have different resource requirements, and so they should be granted different priorities. Moreover, a large number of resource blocks and users in a downlink system make full feedback expensive. In this paper, a partial feedback OFDMA system is considered where each user feeds back only the best M channel quality information (CQI) among the total number of resource blocks. The users are classified into several groups and users in each group have the same priority. A metric based on the weighted cumulative distribution function (CDF) of the received CQI of users is developed to exactly control the amount of resource allocated to different users. Then, both the distribution and average value of the system throughput are analyzed and verified by matching the analytical expression with the simulation results. The analysis is applied to two network models, one consists of only macro users and the other consists of both macro users and users communicating through relays.