A Fair Queueing Algorithm is proposed for data services in an integrated voice/data CDMA system. We introduce short-term and long-term fairness concepts to allocate data users fairly. Using these concepts, we propose Weighted Fair Queueing with Status Control(WFQS) in the consideration of a Generalized Processor Sharing(GPS) ¤uid-¤ow model. This proposed scheme allocates resources using channel...

With growing awareness of societal impact artificial intelligence, fairness has become an important aspect machine learning algorithms. The issue is that human biases towards certain groups population, defined by sensitive features like race and gender, are introduced to the training data through collection labeling. Two directions ensuring research have focused on (i) instance weighting in ord...

Given the recent changes in the policy governing Internet content distribution, such as the institution of per listener royalties for Internet radio broadcasters, content distributors now have an incentive to under-report the size of their audience. Previous audience measurement schemes only protect against inflation of audience size. We present the first protocols for audience measurement that...

Non-orthogonal multiple access (NOMA) makes multiple mobile users share the same frequency band. In a conventional NOMA scheme, a user pair that can be assigned to the same frequency resource is limited, which reduces the amount of capacity improvement possible. This is because a far user demodulates a signal without canceling an underlaid signal for a near user. In addition, semi-orthogonalmul...

─ Fair scheduling algorithms have been proposed to tackle the problem of bursty and location-dependent errors in wireless packet networks. Most of those algorithms ensure the fairness property and guarantee the QoS of all sessions in a large-scale cellular network such as GSM or GPRS.In this paper, we propose the Weighted-Sacrificing Fair Queueing (WSFQ) scheduling algorithm for small-area and ...

We show that infinitesimal probabilities are much too small for modeling the individual outcome of a countably infinite fair lottery.