Data throughput of CDMA-HDR a high efficiency-high data rate personal communication wireless system

By A. Jalali, R. Padovani, R. Pankaj. VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026), 2000

1,560 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/6a5aa25b826c8ccd22b518f4279ea980ce764ae6

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Citations in the corpus

Downlink capacity evaluation of cellular networks with known-interference cancellation (2003, methodology): “Several scheduling algorithms have been proposed for packet data scheduling on the downlink of a cellular system [12], [20], [21].”
MaxWeight scheduling in a generalized switch: State space collapse and workload minimization in heavy traffic (2004, background): “The Annals of Applied Probability 2004, Vol. 14, No. 1, 1–53 © Institute of Mathematical Statistics, 2004”
Downlink scheduling and resource allocation for OFDM systems (2009, background): “Several such algorithms have been studied for time-division multiplexed (TDM) systems, including the “proportionally fair rule” [4], [6] which is based on a logarithmic utility function of each user’s throughput.”
Non-orthogonal Multiple Access (NOMA) with Successive Interference Cancellation for Future Radio Access (2015, background): “When ρk for all users is the same, the α of one corresponds to pure proportional fair resource allocation [38], [39], while the α of 0 and ∞ correspond to the total user throughput maximization criterion [40] and Max-Min user throughput criterion [41], respectively.”
Dirty-paper coding versus TDMA for MIMO Broadcast channels (2005, background): “DPC has been shown to achieve the sum-rate capacity (maximum throughput) of the multiple-antenna broadcast channel [1], [3]–[5], and furthermore, it was recently shown that DPC in fact achieves the full capacity region of the Gaussian multiple-input multiple-output (MIMO) broadcast channel [6].”
Maximizing Queueing Network Utility Subject to Stability: Greedy Primal-Dual Algorithm (2005, background): “[8, 1, 15] for basic features of transmission rate allocation over shared wireless links.”
Cell-Throughput Analysis of the Proportional Fair Scheduler in the Single-Cell Environment (2007, methodology): “This structure of wireless link-state has been realized in the IS-856 standard for the downlink direction, which is known as the HDR system of Qualcomm [5].”
Fair Resource Allocation in Wireless Networks Using Queue-Length-Based Scheduling and Congestion Control (2005, background): “The properties of such a policy have been studied empirically in [ 15 ] and analytically in [36], [21], and a multiple antenna implementation of such an algorithm over slowly time-varying channels has been proposed in [40].”
Joint Link Adaptation and Scheduling for 5G Ultra-Reliable Low-Latency Communications (2018, methodology): “The value of ru,p is estimated based on the periodical frequency-selective CQI report sent by each UE, whereas Tu[n] is calculated recursively using a moving average filter and is only updated for users that have data buffered [32].”
Towards 1 Gbps/UE in Cellular Systems: Understanding Ultra-Dense Small Cell Deployments (2015, background): “The complexity of the frequency domain scheduler highly depends on the number of its input UEs [81] [82], and thus the time domain scheduler has a major impact on the complexity of the frequency domain scheduler.”
Proportional Fair Frequency-Domain Packet Scheduling for 3GPP LTE Uplink (2009, methodology): “The Proportional Fair (PF) algorithm was introduced by [15], [22], extensively studied in the research community (e.g. delay [9], [18], instability [7], [8]), and it is widely used as a standard scheduling algorithm in the current single-carrier wireless systems such as CDMA 2000 1xEV-DO [11], [15].”
Great expectations: the value of spatial diversity in wireless networks (2004, methodology): “This idea is inherently used in the downlink scheduling algorithm used in IS-856 [34], [149] [also known as the High Data Rate”
On the Asymptotic Optimality of the Gradient Scheduling Algorithm for Multiuser Throughput Allocation (2005, methodology): “The switch state is random, and it determines the set of possible service rate choices (scheduling decisions) in each time slot.”
A framework for opportunistic scheduling in wireless networks (2003, background): “, [2,6,8,12]).”