This paper provides a new approach allocating resources between multimedia users in a multi-cell OFDMA system in order to maximize the number of users that can achieve their QoS requirements. It does this by formulating the problem as a non-cooperative game. We propose a distributed algorithm to get the Nash equilibrium (NE) as well as introducing a new performance indicator (the qualified throughput) to measure the actual throughput gained by those users whose QoS requirement is met. The proposed algorithm can achieve fast convergence and enhanced performance; it can also efficiently deal with an unbalanced user distribution as well as with a uniform one. In this paper we also validate the algorithm by using Iterative Water Filling (IWF) as a benchmark and compare it with an existing algorithm. It can offer significant advantages and successfully handle a mix of QoS requirements between users. The approach is generic but in the paper is applied to the uplink in a scenario based on IEEE802.22 Cognitive Radio.

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The SEC comment letter is the correspondence between SEC staff and SEC filers about the filers' public information disclosures. The intensity of comment letters in terms of the use of strong/weak modal language can reflect perceived deficiencies in the reviewed filings. This paper uses text mining to examine the intensity of SEC comment letters. A measure of intensity based on the modality of comment letters is developed. Empirical analysis is conducted on a sample of initial comment letters related to 10-K filings. Results show that intensity is positively associated with the probability of a restatement of the reviewed 10-K filings and that this association is robust using both the original Loughran and McDonald (2011) word lists and the modified word lists.

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