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Complete Power Reallocation for MU-MIMO under Per-Antenna Power Constraint
[article]
2021
arXiv
pre-print
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In this paper, three CPR variations considering algorithm convergence speed, sum-rate maximization, and robustness to channel uncertainty are developed. ...
Although many beamformer designs with the PAPC need to solve complex optimization problems, the proposed complete power reallocation (CPR) method can generate beamformers with excellent performance only ...
Regardless of distribution strategy, CPR with small p = p init quickly converges but provides a low sum-rate. ...
arXiv:2102.06392v1
fatcat:e3lgfafluzbfhczynst3nnn32m
Distributed Delay and Sum Beamformer for Speech Enhancement via Randomized Gossip
2014
IEEE/ACM Transactions on Audio Speech and Language Processing
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For convergence analysis, we first provide bounds for the worst case averaging time of the ADDSB for the best and worst connected networks, and then we compare the convergence rate of the ADDSB with the ...
In this paper, we investigate the use of randomized gossip for distributed speech enhancement and present a distributed delay and sum beamformer (DDSB). ...
Thus, it can potentially increase the convergence rate in both the bounded degree and the unbounded regular networks. ...
doi:10.1109/taslp.2013.2290861
fatcat:nohd62sijnetvn2gfm6d53rrr4
A Random Search Framework for Convergence Analysis of Distributed Beamforming With Feedback
2010
IEEE Transactions on Information Theory
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The focus of this work is on the analysis of transmit beamforming schemes with a low-rate feedback link in wireless sensor/relay networks, where nodes in the network need to implement beamforming in a ...
Using these properties and the systematic framework, it is shown that the adaptive distributed beamforming scheme converges both in probability and in mean. ...
As a consequence, there has been increased interest in designing efficient schemes that achieve distributed phase alignment in the presence of a low-rate feedback link [1] - [6] . ...
doi:10.1109/tit.2010.2080590
fatcat:jfjzro47grezjp3gqq2zwo2nbm
Distributed Coordinated Transmission with Forward-Backward Training for 5G Radio Access
[article]
2018
arXiv
pre-print
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2018 pre-print arXiv:1802.04309v1 fatcat:f6l5fbj2kjcm7ahj6v3hlfjxbm
To this end, several distributed approaches are introduced for coordinated beamforming (CB)-CoMP. ...
To harness the gains of coordinated beamforming, fast information exchange over a backhaul connecting the cooperating base stations (BSs) is required. ...
Faster beamformer convergence rates allow smaller number of F-B iterations, which in turn lowers the beamformer training overhead. ...
arXiv:1802.04309v2
fatcat:24gion5zvfcxbgf265fqz5vgpu
Local interference pricing for distributed beamforming in MIMO networks
2009
MILCOM 2009 - 2009 IEEE Military Communications Conference
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We study a distributed algorithm for adjusting beamforming vectors in a peer-to-peer wireless network with multiple-input multiple-output (MIMO) channels. ...
Given all users' beamforming vectors and receive filters, each receiver announces an interference price, representing the marginal cost of interference from other users. ...
In addition, the convergence rate as a function of system parameters has not been considered. ...
doi:10.1109/milcom.2009.5379907
fatcat:xy7d3nghirb63oburdqr5rkusa
A Random Search Framework for Convergence Analysis of Distributed Beamforming with Feedback
[article]
2010
arXiv
pre-print
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The focus of this work is on the analysis of transmit beamforming schemes with a low-rate feedback link in wireless sensor/relay networks, where nodes in the network need to implement beamforming in a ...
Using these properties and the systematic framework, it is shown that the adaptive distributed beamforming scheme converges both in probability and in mean. ...
As a consequence, there has been increased interest in designing efficient schemes that achieve distributed phase alignment in the presence of a low-rate feedback link [1] , [2] , [4] , [5] . ...
arXiv:0806.3023v3
fatcat:yng6blhvbjhwrhao6o5ahcojne
Minimum Mean Squared Error interference alignment
2009
2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers
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We specify a class of utility functions for which convergence of the sum utility to a local optimum is guaranteed with asynchronous updates of beams, receiver filters, and utility weights. ...
Numerical results are presented, which show that this method achieves interference alignment at high SNRs, and can achieve different points on the boundary of the achievable rate region by adjusting the ...
Although the preceding proof implies convergence of the sum utility objective, and not the beamformers, convergence of the beams is always observed in simulations.
V. ...
doi:10.1109/acssc.2009.5470055
fatcat:vvj6pqtuojeudmcpitsifrtgmm
Distributed Coordinated Transmission with Forward-Backward Training for 5G Radio Access
2019
IEEE Communications Magazine
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To this end, several distributed approaches are introduced for coordinated beamforming (CB)-CoMP. ...
To harness the gains of coordinated beamforming, fast information exchange over a backhaul connecting the cooperating base stations (BSs) is required. ...
Improved convergence rate of beamformer updates The convergence of WSMSE based algorithms [2] , [12] can be still fairly slow, especially at high SNR. ...
doi:10.1109/mcom.2018.1700199
fatcat:c24loerw7va37h2562iw3wlihm
Scalable feedback algorithms for distributed transmit beamforming in wireless networks
2012
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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We explore a class of techniques for distributed transmit beamforming where the beamforming target sends cumulative feedback that is broadcast to all of the beamforming nodes. ...
that it also has serious limitations such as slow convergence and poor tracking performance in the presence of frequency offsets between the transmitters. ...
Slow convergence rate. ...
doi:10.1109/icassp.2012.6289095
dblp:conf/icassp/MudumbaiBPDOR12
fatcat:s44vu2enrvdmzil2vcw3a4vftu
Decentralized Beamforming Design for Intelligent Reflecting Surface-enhanced Cell-free Networks
[article]
2020
arXiv
pre-print
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Cell-free networks are considered as a promising distributed network architecture to satisfy the increasing number of users and high rate expectations in beyond-5G systems. ...
The complexity and convergence of the proposed method are analyzed, and these results show that the performance of the new scheme can asymptotically approach that of the centralized one as the number of ...
From Fig. 4b , we can see that the sum-rate of all beamforming methods increases with N t . ...
arXiv:2006.12238v1
fatcat:sbv6pdjevbhcdoudbskbw54o6e
Distributed Weighted Sum-Rate Maximization in Multicell MU-MIMO OFDMA Downlink
2017
arXiv
pre-print
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A fast convergent solution maximizing the weighted sum- rate with per base station (BS) transmiting power constraint is formulated. ...
Compared to the conventional iterative distributed algorithms where the BSs exchange additional information at each iteration, the BSs of our proposed solution optimize their beamformers locally without ...
We notice that as the BS transmit power increases, the gap between the IA based initialization and the random initialization also increases. The rate of capacity increase goes up Fig. 3 . ...
arXiv:1708.04423v1
fatcat:blimfxpurjbvjpraojnp57up6m
Optimal Distributed Beamforming for MISO Interference Channels
2011
IEEE Transactions on Signal Processing
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The feasibility problem is solved by two new distributed optimal beamforming algorithms, where the first one is to parallelize the computation based on the method of alternating projections, and the second ...
We consider the problem of quantifying the Pareto optimal boundary in the achievable rate region over multiple-input single-output (MISO) interference channels, where the problem boils down to solving ...
: The upper-right boundary of this region is called the Pareto boundary, since it consists of rate-tuples at which it is impossible to increase some user's rate without simultaneously decreasing the rate ...
doi:10.1109/tsp.2011.2163066
fatcat:jsgmurawcrhwdbc6h6dderh5ly
Optimal distributed beamforming for MISO interference channels
2010
2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers
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Convergence proofs are established for both algorithms. Index Terms-Achievable rate region, distributed beamforming, MISOinterference channel, Pareto optimal. ...
The feasibility problem is solved by two new distributed optimal beamforming algorithms, where the first one is to parallelize the computation based on the method of alternating projections, and the second ...
: The upper-right boundary of this region is called the Pareto boundary, since it consists of rate-tuples at which it is impossible to increase some user's rate without simultaneously decreasing the rate ...
doi:10.1109/acssc.2010.5757516
fatcat:xnia637nj5dfhh46cbthw3s56u
Clique-Based Distributed Beamforming For Speech Enhancement In Wireless Sensor Networks
2013
Zenodo
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Publication in the conference proceedings of EUSIPCO, Marrakech, Morocco, 2013 ...
Furthermore, we investigate the convergence rate of the distributed beamformers which is inversely proportional to the second smallest eigenvalue of the Laplacian matrix of the graph and compare the convergence ...
To increase convergence speed, we investigate in this paper the use of cliques. This requires to find the cliques in a network in a distributed way. ...
doi:10.5281/zenodo.43451
fatcat:nzl7cdy6obdr3ih2p2n4revjoq
Distributed transmit beamforming: challenges and recent progress
2009
IEEE Communications Magazine
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Depending on the design objectives and constraints, the power gains of distributed beamforming can be translated into dramatic increases in range, rate, or energy efficiency. ...
Directions for future research needed to translate the potential of distributed beamforming to practice are also discussed. ...
This could dramatically increase the upload rate from a network of sensors or soldier radios. ...
doi:10.1109/mcom.2009.4785387
fatcat:oztqblrumfbsrjfrryhhkt2rdm
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