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Conference

International Workshop on Signal Processing Advances in Wireless Communications 

About: International Workshop on Signal Processing Advances in Wireless Communications is an academic conference. The conference publishes majorly in the area(s): MIMO & Communication channel. Over the lifetime, 3227 publications have been published by the conference receiving 34634 citations.


Papers
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Proceedings ArticleDOI
15 Jun 2003
TL;DR: In this article, the authors present the fundamentals of UWB communication systems, driving applications, recent developments, and open problems, as well as a review of the current state of the art.
Abstract: Summary form only given. In February 2002, a law-and-order of the federal communications commission (FCC) gave the "green light" (spectral mask in the range 3.1-10.6 GHz) for commercial applications of ultra wideband (UWB) systems. Since this recent FCC release, UWB has emerged as an exciting technology whose "time has come" for wireless communications, and local area networking. Conveying information over ultra-short waveforms, UWB technology allows for very accurate delay estimates providing position and localization capabilities within a few centimeters. The scarcity of bandwidth resources coupled with the capability of IR to overlay existing systems, welcomes UWB connectivity in the workplace, and at home for indoor and especially short range wireless links. However, to realize these attractive features, UWB research and development has to cope with formidable challenges. This plenary will provide the fundamentals of UWB communication systems, driving applications, recent developments, and open problems.

500 citations

Proceedings ArticleDOI
16 Apr 1997
TL;DR: It is proved that the doubly-infinite multichannel equalizer based on the maximum entropy cost function with natural gradient possesses the so-called "equivariance property" such that its asymptotic performance depends on the normalized stochastic distribution of the source signals and not on the characteristics of the unknown channel.
Abstract: Multichannel deconvolution and equalization is an important task for numerous applications in communications, signal processing, and control. We extend the efficient natural gradient search method of Amari, Cichocki and Yang (see Advances in Neural Information Processing Systems, p.752-63, 1995) to derive a set of on-line algorithms for combined multichannel blind source separation and time-domain deconvolution/equalization of additive, convolved signal mixtures. We prove that the doubly-infinite multichannel equalizer based on the maximum entropy cost function with natural gradient possesses the so-called "equivariance property" such that its asymptotic performance depends on the normalized stochastic distribution of the source signals and not on the characteristics of the unknown channel. Simulations indicate the ability of the algorithm to perform efficient simultaneous multichannel signal deconvolution and source separation.

360 citations

Proceedings ArticleDOI
Javad Abdoli1, Ming Jia1, Jianglei Ma1
31 Aug 2015
TL;DR: A spectrally-localized waveform is proposed based on filtered orthogonal frequency division multiplexing (f-OFDM) that can achieve a desirable frequency localization for bandwidths as narrow as a few tens of subcarriers, while keeping the inter-symbol interference/inter-carrier interference (ISI/ICI) within an acceptable limit.
Abstract: A spectrally-localized waveform is proposed based on filtered orthogonal frequency division multiplexing (f-OFDM). By allowing the filter length to exceed the cyclic prefix (CP) length of OFDM and designing the filter appropriately, the proposed f-OFDM waveform can achieve a desirable frequency localization for bandwidths as narrow as a few tens of subcarriers, while keeping the inter-symbol interference/inter-carrier interference (ISI/ICI) within an acceptable limit. Enabled by the proposed f-OFDM, an asynchronous filtered orthogonal frequency division multiple access (f-OFDMA)/filtered discrete-Fourier transform-spread OFDMA (f-DFT-S-OFDMA) scheme is introduced, which uses the spectrum shaping filter at each transmitter for side lobe leakage elimination and a bank of filters at the receiver for inter-user interference rejection. Per-user downsampling and short fast Fourier transform (FFT) are used at the receiver to ensure a reasonable complexity of implementation. The proposed scheme removes the inter-user time-synchronization overhead required in the synchronous OFDMA/DFT-S-OFDMA. The performance of the asynchronous f-OFDMA is evaluated and compared with that of the universal-filtered OFDM (UF-OFDM), proposed in [1], [2].

314 citations

Proceedings ArticleDOI
03 Jul 2017
TL;DR: The results show that deep networks can achieve state of the art accuracy with significantly lower complexity while providing robustness against ill conditioned channels and mis-specified noise variance.
Abstract: In this paper, we consider the use of deep neural networks in the context of Multiple-Input-Multiple-Output (MIMO) detection. We give a brief introduction to deep learning and propose a modern neural network architecture suitable for this detection task. First, we consider the case in which the MIMO channel is constant, and we learn a detector for a specific system. Next, we consider the harder case in which the parameters are known yet changing and a single detector must be learned for all multiple varying channels. We demonstrate the performance of our deep MIMO detector using numerical simulations in comparison to competing methods including approximate message passing and semidefinite relaxation. The results show that deep networks can achieve state of the art accuracy with significantly lower complexity while providing robustness against ill conditioned channels and mis-specified noise variance.

285 citations

Proceedings ArticleDOI
11 May 2015
TL;DR: In this article, a closed-form expression for the achievable rate was derived for the downlink of a cell-free massive MIMO system, where a very large number of distributed access points (APs) simultaneously serve a much smaller number of users.
Abstract: We consider the downlink of Cell-Free Massive MIMO systems, where a very large number of distributed access points (APs) simultaneously serve a much smaller number of users. Each AP uses local channel estimates obtained from received uplink pilots and applies conjugate beamforming to transmit data to the users. We derive a closed-form expression for the achievable rate. This expression enables us to design an optimal max-min power control scheme that gives equal quality of service to all users. We further compare the performance of the Cell-Free Massive MIMO system to that of a conventional small-cell network and show that the throughput of the Cell-Free system is much more concentrated around its median compared to that of the smallcell system. The Cell-Free Massive MIMO system can provide an almost 20-fold increase in 95%-likely per-user throughput, compared with the small-cell system. Furthermore, Cell-Free systems are more robust to shadow fading correlation than smallcell systems.

250 citations

Performance
Metrics
No. of papers from the Conference in previous years
YearPapers
202233
2021127
2020138
2019207
2018208
2017179