Opportunistic beamforming using dumb antennas

By Pramod Viswanath, David Tse, R. Laroia. Proceedings IEEE International Symposium on Information Theory,, 2002

2,893 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/2667ff69214d725014b544525311f7d2a1f641f1

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Citations in the corpus

Stability and delay of finite-user slotted ALOHA with multipacket reception (2005, result): “It is interesting to compare our results with those of [17] in which the problem of scheduling transmissions for the downlink of a multiple antenna cellular system is considered.”
Multiple-antenna channel hardening and its implications for rate feedback and scheduling (2004, background): “The algorithm also requires natural [4] or artificially induced [ 5 ] fluctuations in the channel so that bad channels eventually become good, and all users enjoy fair treatment.”
Optimal Resource Allocation in Coordinated Multi-Cell Systems (2013, neutral): “With a proper scheduling algorithm, the system can exploit multi-user diversity by riding on the peaks of the channel fading and maintain a certain relative user fairness over time [141, 284].”
Cross-layer design for wireless networks (2003, background): “In [ 18 ], the authors consider opportunistic beam-forming, and multi-user scheduling based on the pro-”
Energy Efficient Multi-User MISO Communication Using Low Resolution Large Intelligent Surfaces (2018, background): “Hence, the achievable sum rate performance of the considered LIS-assisted multi-user MISO system is obtained as [22]”
Multi-Antenna Downlink Channels with Limited Feedback and User Selection (2007, background): “From the expression we can observe the following: 1) Multiuser diversity of an SNR improvement by a factor of log K [2], [4], [5] is still preserved under quantized CDI feedback.”
On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming (2006, background): “This is due to a multiuser diversity effect [11], [12].”
A framework for opportunistic scheduling in wireless networks (2003, background): “In [20], the authors give an asymptotic closed-form performance distribution for i.i.d. sequences whose probability distribution functions satisfy certain conditions, e.g., distributions with exponential tails.”
Classifications and Applications of Physical Layer Security Techniques for Confidentiality: A Comprehensive Survey (2019, background): “creating virtual random channel [414] (by using opportunistic randomized beamforming [420] along with diversity) or by producing artificial interference [415] that can be used”
Great expectations: the value of spatial diversity in wireless networks (2004, methodology): “Given that the technique proposed in [273] is based on a rate-based QoS criterion, it cannot provide delay guarantees for the jobs of different users.”
Cell-Throughput Analysis of the Proportional Fair Scheduler in the Single-Cell Environment (2007, background): “As indicated in [11], the cell throughput of the PF scheduler decreases when the dynamic range of the channel variation is small.”
Distributed Interference-Aware Energy-Efficient Power Optimization (2011, background): “The traditional proportional fair scheduler assigns subchannels to the user with the highest r T , where r is the instantaneous data rate on that subchannel and T the average total throughput [18].”
Cross-layer optimization for OFDM wireless networks-part I: theoretical framework (2005, background): “Unlike the asymptotic analysis of multiuser diversity gain in [15], our analysis is valid for an arbitrary user number.”
Joint Spatial Division and Multiplexing: Opportunistic Beamforming, User Grouping and Simplified Downlink Scheduling (2014, methodology): “This corresponds to the ideal channel state information assumption, widely used in most information theoretic analysis of the Gaussian vector broadcast channel [1], [2], [29], [30].”
Non-orthogonal Multiple Access (NOMA) with Successive Interference Cancellation for Future Radio Access (2015, methodology): “In the following evaluations, we employ open loop-based random beamforming [46], [47].”