CDMA/HDR: a bandwidth-efficient high-speed wireless data service for nomadic users

By P. Bender, P. Black, M. Grob, R. Padovani, N. Sindhushayana, A. Viterbi. IEEE Communications Magazine, 2000

1,287 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/63b2e0cfbb2320f75d60c10be2c95f42aa17c2c1

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

On the Asymptotic Optimality of the Gradient Scheduling Algorithm for Multiuser Throughput Allocation (2005, background): “This model is motivated primarily by the problem of scheduling transmissions of N data users over a shared time-varying wireless environment, which naturally arises, for example, in modern wireless data technologies such as HDR (CDMA2000 1xEV-DO) (Bender et al. 2000, Jalali et al. 2000).”
On the achievable throughput of a multiantenna Gaussian broadcast channel (2003, background): “Practical downlink protocols for high-rate packet communications are currently proposed and implemented according to this principle: only one user in each time-slot is served according to a channel-driven scheduling allocating the channel to the user enjoying the instantaneous highest individual cap”
Scheduling in IEEE 802.16e mobile WiMAX networks: key issues and a survey (2009, background): “Category Scheduling Algorithms Pros/Cons Traffic Classes Fairness Variation of PFS [36], [61], [62], [63], [64] Achieve long term fairness but can not guarantee the delay constraint BE”
Opportunistic transmission scheduling with resource-sharing constraints in wireless networks (2001, background): “In [9], [10], the authors present a scheduling scheme for the Qualcomm/HDR system which satis£es the following fairness property as de£ned in [10]: if another scheduling algorithm is used to increase the throughput of a speci£c user by x% over what that user receives under the HDR scheduling algorit”
Stochastic Forecasts Achieve High Throughput and Low Delay over Cellular Networks (2013, neutral): “The base station schedules data transmissions taking both per-user (proportional) fairness and channel quality into consideration [3].”
Downlink capacity evaluation of cellular networks with known-interference cancellation (2003, background): “users that can be supported at the required rate subject to a specified outage probability and the packet data capacity in terms of the total throughput that can be provided under a proportionally fair scheduler [16].”
Multiple-antenna capacity in the low-power regime (2003, background): “This second point can be illustrated in the context of emerging third-generation data systems [26], [27], wherein almost 40% of geographical locations experience receiver levels below 0 dB while less than 10% display levels above 10 dB.”
Opportunistic beamforming using dumb antennas (2002, background): “These features are already present in the designs of many 3G systems, such as IS-856 [2].”
Convergence of proportional-fair sharing algorithms under general conditions (2004, methodology): “TABLE I RATE VERSUS SNR FOR 1% PACKET LOSS (TAKEN FROM [3])”
Hop-by-Hop Congestion Control Over a Wireless Multi-Hop Network (2004, background): “Many wireless MACs use a time-division strategy for channel access [5], [6], where, at any point in space,the physical channel can be accessed by a single user at each instant of time (a time constraint).”
Multiuser MIMO Achievable Rates With Downlink Training and Channel State Feedback (2007, background): “For example, high-data rate downlink systems such as 1xEv-Do [62] already implement a very fast channel state feedback with at most one frame delay.”