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Low-Complexity Distributed Multibase Transmission and Scheduling
2007
EURASIP Journal on Advances in Signal Processing
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In particular, we detail a low-complexity scheduling algorithm, which can be employed with different objective functions, exemplified here by two approaches: (1) maximizing the sum rate of the network; ...
We present a distributed approach to downlink multibase beamforming, which allows for the multiplexing of M user terminals, randomly located in a network with N base stations. ...
was supported by the Research Council of Norway through the Projects 160637/V30 "Advanced Signaling for Multiple Input Multiple Output (MIMO) Wireless Application to High Speed Data Access Networks" and ...
doi:10.1155/2008/741593
fatcat:igf5enixx5dgreqy3ziucipdvm
A low complexity distributed multibase transmission scheme for improving the sum capacity of wireless networks
2007
2007 IEEE 8th Workshop on Signal Processing Advances in Wireless Communications
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We present a distributed approach to downlink multibase beamforming as well as a low complexity, near-optimal, scheduling algorithm allowing the multiplexing of M user terminals randomly located in a network ...
In Section IV-B, we describe a spatially distributed multibase scheduler, of relatively low complexity and where only hybrid CSI is needed. ...
By hybrid CSI, we consider instantaneous CSI on locally measured channels and long-term, statistical CSI on nonlocally measured channels. • A low complexity algorithm for multibase scheduling, where the ...
doi:10.1109/spawc.2007.4401422
fatcat:ybmepb7po5auppjxpi63d2erti
Distributed Space-Time Systems
2008
EURASIP Journal on Advances in Signal Processing
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Can we use cross-layer information for scheduling? Does distributed space-time coding (DSTC) work well with OFDMA as it does with standard MIMO systems? ...
Cooperation may be used in transmission or in reception, or at both ends. ...
The paper "Low complexity distributed multibase transmission and scheduling" by H. Skjevling et al. addresses the problem of base station coordination and cooperation in multicell wireless networks. ...
doi:10.1155/2008/891036
fatcat:7s27pofeubdqrabiz3qyx7ngkm
On the Performance of Joint Processing Schemes over the Cluster Area
2010
2010 IEEE 71st Vehicular Technology Conference
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Simulation results show that, assuming coherent transmission, the centralized joint processing scheme outperforms with 25% the partial joint processing scheme and with 50% the distributed joint processing ...
Each one of the analyzed schemes, the centralized, partial and distributed joint processing approaches, requires a different amount of available channel knowledge at the transmitter side, inter-base information ...
This multibase scheduling problem has been previously considered in [10] , where low-complexity algorithms have been proposed in order to optimize a given objective function. ...
doi:10.1109/vetecs.2010.5493624
dblp:conf/vtc/BotellaSXZ10
fatcat:lcw4kcg34rdv3lkiai62cxyfcm
Partial Joint Processing for Frequency Selective Channels
2010
2010 IEEE 72nd Vehicular Technology Conference - Fall
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On the other hand, the channel state information available at the transmitter side to design the beamforming matrix is very limited and rank deficiency problems arise for low values of active set thresholding ...
and users located close to the base station. ...
In this last case, a multibase scheduling algorithm was required in order to assign users to BSs. ...
doi:10.1109/vetecf.2010.5594156
dblp:conf/vtc/LakshmanaBSXLC10
fatcat:dgs64sjnxzfd5di4b7bz6hpevy
Emergence and pandemic potential of swine-origin H1N1 influenza virus
2009
Nature
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of the factors that determine viral pathogenicity and/or transmissibility. ...
Efforts to control these outbreaks and real-time monitoring of the evolution of this virus should provide us with invaluable information to direct infectious disease control programmes and to improve understanding ...
for Emerging and Reemerging Infectious Diseases from the Ministry of Education, Culture, Sports, Science, and Technology, by grants-in-aid from the Ministry of Health and by ERATO (Japan Science and Technology ...
doi:10.1038/nature08157
pmid:19525932
pmcid:PMC2873852
fatcat:xgfcycwedje3nb5jck6mg7mhzq
Wireless Resource Management and Resilience Optimization of the M2M-Oriented Mobile Communication System
2021
Journal of Sensors
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Therefore, ensuring the low-energy consumption of M2M devices is a necessary condition for prolonging the survival time of their devices. ...
Aimed at the energy efficiency of M2M equipment and the channel capacity of H2H equipment, a multiobjective problem is constructed for joint spectrum and power resource management, and a weighted Chebyshev ...
Reference [19] proposed a distributed resource allocation method. ...
doi:10.1155/2021/9596606
fatcat:sr3unj7rfrfdxlfcsezl7hng7u
Adaptation, Coordination, and Distributed Resource Allocation in Interference-Limited Wireless Networks
2007
Proceedings of the IEEE
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We then present some promising leads for substantial complexity and signaling reduction via the use of newly developed distributed and game theoretic techniques. DRAFT ...
We consider the problem of resource allocation and adaptive transmission in multicell scenarios. ...
Such clever resource planning schemes are interesting as they offer additional flexibility in mitigating interference with very low complexity and little need for signaling. ...
doi:10.1109/jproc.2007.907125
fatcat:zxb4jdf6wjhjjjvfclvrbf32ni
Two Phase Scheduling Algorithm for Maximizing the Number of Satisfied Users in Multi-Rate Wireless Systems
2007
2007 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks
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In the proposed scheme, multiple users bid anisms, Medium Access Control (MAC) layer retransmission to acquire the required number of time slots, and the allocations of lost packets, and multi-rate transmission ...
Related Work satisfied users at the cost of additional complexity. Numerical 1-4244-0992-6/07/$25.00 ...
The mapping of combinatorial auction to multibase station (e.g., time slots, frequency bands, codes) form rate scheduling and the scheduling algorithm is presented the goods which are sold to the users ...
doi:10.1109/wowmom.2007.4351790
dblp:conf/wowmom/PalGMKD07
fatcat:ynmfw7vhifhllavi532mqm2wsm
Distributed Multicell-MISO Precoding Using the Layered Virtual SINR Framework
2010
IEEE Transactions on Wireless Communications
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In this letter, we address the problem of distributed multi-antenna cooperative transmission in a cellular system. ...
SINR maximizing transmission scheme yields Pareto optimal rates for the MISO Interference Channel (IC); its extension to the multicell MISO channel is shown to provide a distributed precoding scheme achieving ...
It was also shown that both at low and high SNR, SNR = P σ 2 , the above beamforming vectors tend to the sum rate maximizing schemes of maximum ratio transmission and zero-forcing, respectively. ...
doi:10.1109/twc.2010.061710.091648
fatcat:36pohgphevgrzpw7cgavvcdrzq
Exploring the physical layer frontiers of cellular uplink
2016
EURASIP Journal on Wireless Communications and Networking
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Multiple input, multiple output (MIMO) processing in current wireless communications, as an example, mostly employs codebook-based pre-coding to save computational complexity at the transmitters and receivers ...
Vienna LTE-A Uplink Simulator, highlights the effects of single-carrier frequency-division multiplexing (as the distinguishing feature to LTE-A downlink), extends known link adaptation concepts to uplink transmission ...
The financial support by the Austrian Federal Ministry of Science, Research and Economy and the National Foundation for Research, Technology and Development is gratefully acknowledged. ...
doi:10.1186/s13638-016-0609-1
pmid:27547216
pmcid:PMC4968455
fatcat:2rrf2uamu5d53nvzndg43juvhe
Signal processing challenges for future wireless communications
2009
2009 IEEE International Conference on Acoustics, Speech and Signal Processing
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LTE, WiMAX and evolved WiFi are the upcoming wireless standards which are based on OFDM and MIMO. ...
New technology building blocks are on its way like cooperative MIMO, relaying and self-organizing networks. ...
Signal processing can be centralized or distributed, i.e. with iterative information exchange (the "multibase-station turbo receiver"). ...
doi:10.1109/icassp.2009.4960411
dblp:conf/icassp/IrmerC09
fatcat:mvaekm5c4rdunjy4nz7jzrdg5e
Coordination in a Multi-Cell Multi-Antenna Multi-User W-CDMA System: A Beamforming Approach
2008
IEEE Transactions on Wireless Communications
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The problem of designing Joint Power Control and Optimal Beamforming (JPCOB) algorithms for the downlink of a coordinated multi-cell W-CDMA system is considered throughout this paper. ...
Simulation results show that the algorithm based on multi-base beamforming presents attractive properties, such as an inherent multi-base scheduling technique or a decreasing total transmitted power as ...
Recently, [27] also introduces distributed multibase scheduling techniques with the objective of maximizing the sum capacity of the coordinated multi-cell system. ...
doi:10.1109/t-wc.2008.070844
fatcat:jlxf5xpey5dq3lpi5wtydivqsm
Technical Study on 5G Using Soft Computing Methods
2022
Scientific Programming
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The literature studies are collected from various repositories that include reference materials, Internet, and other books. ...
Firstly, it is hence essential to provide the readers to find research gaps and new innovative models on wide varied applications of 5G. ...
An enabling feature will be a content delivery mechanism and content distribution infrastructure for multibase stations in an MC-PTM area. ...
doi:10.1155/2022/1570604
fatcat:zcaejqhv5fce5bf7rclkmad7le
Measuring Performance of 3GPP LTE Terminals and Small Base Stations in Reverberation Chambers
[chapter]
2009
Internet and Communications
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However, many of these parameters, such as MU-MIMO, opportunistic scheduling, and multibase station handover, should be easy to measure in the reverberation chamber. ...
The S 21 samples are, for sufficient independent samples, complex normally distributed. ...
doi:10.1201/9781420072112.ch12
fatcat:27vecmzeufa7hf52p724z3h5te
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