n is fed back and thus always delayed and inaccurate, this approach seems a reason- able one. Zhimei Jiang and Shankaranarayana demonstrate why in most cases, it is preferable to favor users with good channel qualities. 13 The argument is that attempting to assign more resources to users with lower channel quality may degrade good users' performance in a dis- proportionate manner. This line of reasoning is highly relevant in the case of 802.16 schedul- ing, where a user with "bad" channel quality (e.g., QPSK modulation) will consume much more bandwidth compared to a user with "good" channel quality (64-QAM modulation) for the same amount of transmitted data. Another type of multiuser diversity can be found in Ref. 14 where the authors outline a strategy to maximize the total packet throughput on an OFDMA network by making use of judicious subcarrier allocation (and implies users to be allocated adjacent OFDMA carriers as is done in 4G/5G systems). This is taking advantage of the frequency-selective nature of multiuser diversity. The system the authors consider assumes perfect knowledge of users' CSI, which is perhaps not always the case. In this paper, Guoqing Li and Hui Liu also refer to Pottie, who has demonstrated that this judicious subcarrier allocation can outperform interference-averaging techniques by a factor of 2-3 in spectrum efficiency. 3 The frequency- selective aspect of multiuser diversity is widely discussed in literature and taken advantage of in papers such as Ref. (where the authors varying subcarrier and power allocations simul- taneously), Ref. (where an algorithm allowing a reduction in transmission power by 6-10 dB is presented), and Ref. 17 (where a real-time algorithm implementing a subcarrier allocation scheme is presented). Kittipiyakul and Javidi disagree with this purely instantaneous throughput maximization technique because it causes rate-instability in an otherwise stabilizable system (i.e., queues unbounded buildups). 18 Their alternative proposal is more optimal in the long term,