Spectral efficiency of FDMA/TDMA wireless systems with transmit and receive antenna arrays

Farrokhi, Farrokh; Lozano, Angel; Foschini, G.J.; Valenzuela, R.A.

doi:10.1109/twc.2002.804078

Cited by 67 publications

(25 citation statements)

References 61 publications

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“…The potential of using antenna arrays to enhance the system capacity of the downlink of a multicell system was first demonstrated in [10], where the sum capacity of a system in which the users utilize single user detection treating interference from other users as additional noise, is evaluated through simulations. In [11], these numerical studies are extended to other multiuser receiver structures.…”

Section: Index Terms-asymptoticmentioning

confidence: 99%

Scaling results on the sum capacity of cellular networks with MIMO links

Aktas

Bacha

Evans

et al. 2006

IEEE Trans. Inform. Theory

124

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Scaling results for the sum capacity of the multiple access, uplink channel are provided for a flat-fading environment, with multiple-input-multiple-output (MIMO) links, when there is interference from other cells. The classical MIMO scaling regime is considered in which the number of antennas per user and per base station grow large together. Utilizing the known characterizations of the limiting eigenvalue distributions of large random matrices, the asymptotic behavior of the sum capacity of the system is characterized for an architecture in which the base stations cooperate in the joint decoding process of all users (macrodiversity). This asymptotic sum capacity is compared with that of the conventional scenario in which the base stations only decode the users in their cells. For the case of base station cooperation, an interesting "resource pooling" phenomenon is observed: in some cases, the limiting performance of a macrodiversity multiuser network has the same asymptotic behavior as that of a single-user MIMO link with an equivalent amount of pooled received power. This resource pooling phenomenon allows us to derive an elegant closed-form expression for the sum capacity of a new version of Wyner's classical model of a cellular network, in which MIMO links are incorporated into the model. © 2006 IEEE

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Section: Index Terms-asymptoticmentioning

confidence: 99%

Scaling results on the sum capacity of cellular networks with MIMO links

Aktas

Bacha

Evans

et al. 2006

IEEE Trans. Inform. Theory

124

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“…where H LOS denotes the matrix containing the free space responses between all elements, H NLOS accounts for the scattered signals, and K is the Ricean K-factor which is equal to the ratio of the free space and scattered signals [33,34]. As given in [25] and [27], the free space component, H LOS , of the complex response between a transmitting element m and a receiving element n (assuming that both elements are isotropic) is given as e −jβd n,m /d n,m where β is the wave number corresponding to the carrier wavelength λ and it is given as β = 2π λ .…”

Section: Los Mimo Channel Modelmentioning

confidence: 99%

Experimental evaluation of theperformance of 2×2 MIMO-OFDM for vehicle-to-infrastructure communications

Onubogu

Ziri-Castro

Jayalath

et al. 2015

J Wireless Com Network

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In this paper, a novel 2 × 2 multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) testbed based on an Analog Devices AD9361 highly integrated radio frequency (RF) agile transceiver was specifically implemented for the purpose of estimating and analyzing MIMO-OFDM channel capacity in vehicle-to-infrastructure (V2I) environments using the 920 MHz industrial, scientific, and medical (ISM) band. We implemented two-dimensional discrete cosine transform-based filtering to reduce the channel estimation errors and show its effectiveness on our measurement results. We have also analyzed the effects of channel estimation error on the MIMO channel capacity by simulation. Three different scenarios of subcarrier spacing were investigated which correspond to IEEE 802.11p, Long-Term Evolution (LTE), and Digital Video Broadcasting Terrestrial (DVB-T)(2k) standards. An extensive MIMO-OFDM V2I channel measurement campaign was performed in a suburban environment. Analysis of the measured MIMO channel capacity results as a function of the transmitter-to-receiver (TX-RX) separation distance up to 250 m shows that the variance of the MIMO channel capacity is larger for the near-range line-of-sight (LOS) scenarios than for the long-range non-LOS cases, using a fixed receiver signal-to-noise ratio (SNR) criterion. We observed that the largest capacity values were achieved at LOS propagation despite the common assumption of a degenerated MIMO channel in LOS. We consider that this is due to the large angular spacing between MIMO subchannels which occurs when the receiver vehicle rooftop antennas pass by the fixed transmitter antennas at close range, causing MIMO subchannels to be orthogonal. In addition, analysis on the effects of different subcarrier spacings on MIMO-OFDM channel capacity showed negligible differences in mean channel capacity for the subcarrier spacing range investigated. Measured channels described in this paper are available on request. Keywords: MIMO-OFDM; Capacity; V2I; LOS; Channel Review IntroductionMultiple-input multiple-output (MIMO) systems have attracted considerable attention due to the increasing requirements of high capacity, spectral efficiency, and reliability in wireless communications. For example, MIMO systems have been adopted in the Long-Term Evolution (LTE) system, and it is expected that the upcoming developments in IEEE 802.11p and Digital Video Broadcasting Terrestrial (DVB-T) wireless standards will include the use of MIMO. It has been shown [1] that MIMO, *Correspondence: okechukwu.onubogu@qut.edu.au 1 School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, QLD 4001, Australia Full list of author information is available at the end of the article when deployed in a rich scattering environment, is capable of achieving high spectral efficiency, capacity, and reliability by exploiting the increased spatial degrees of freedom. MIMO is often combined with the orthogonal frequency division multiplexing (OFDM) in m...

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“…As shown in [18] and using the above notation, for the case of the multiomnidirectional MEA we can write (15) and the selection diversity capacity (7) is given by (16) From (16), it is easy to see that the maximum possible value that this expression can achieve is 1 , which is the capacity value for a single-input single-output (SISO) channel with omnidirectional antennas at both ends.…”

Section: B Performance Analysis In An Ideal Los Scenario 1) Estimatimentioning

confidence: 99%

“…On the other hand, in the case of the multidirectional MEA, which combines a Butler matrix with transfer function , as defined in Section II-A, with a ULA, the matrix can be written as (17) and the selection diversity capacity (7) is given by (18) In the case that the direction of arrival of the incoming signal coincides with one of the directions of maximum radiation of the multidirectional-beam MEA, that is, if , with being the th row of , then the product , which means that the signals from the receiving antennas will be coherently combined at port th of the Butler matrix. In this case, the expression for the selection diversity capacity reaches its maximum, and its value is equal to the optimal capacity of an SIMO system, given by .…”

Section: B Performance Analysis In An Ideal Los Scenario 1) Estimatimentioning

confidence: 99%

Optimization of Linear Multielement Antennas for Selection Combining by Means of a Butler Matrix in Different MIMO Environments

Grau

Romeu

Blanch

et al. 2006

IEEE Trans. Antennas Propagat.

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Abstract-An optimized linear multielement antenna (MEA) is presented for selection combining schemes that improves the selection diversity gain and selection diversity capacity in medium and low multipath environments, with respect to the performance achieved with a simple uniform linear array (ULA) using omnidirectional antennas, while it performs equally as well as a ULA in highly scattered environments. An analytical investigation based on the analysis of the correlation coefficients, together with simulations and extensive measurements, have been carried out for different fading multiple-input multiple-output environments ranging from line of sight (LOS) to non-LOS. Two MEAs are compared: a simple ULA with omnidirectional antennas and a MEA combining a ULA and a Butler matrix. The measurement results show that the nature of the proposed MEA is such that it is adaptive to any propagation scenario by simultaneously taking advantage of beamforming gain and signal diversity gain.

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Spectral efficiency of FDMA/TDMA wireless systems with transmit and receive antenna arrays

Cited by 67 publications

References 61 publications

Scaling results on the sum capacity of cellular networks with MIMO links

Scaling results on the sum capacity of cellular networks with MIMO links

Experimental evaluation of theperformance of 2×2 MIMO-OFDM for vehicle-to-infrastructure communications

Optimization of Linear Multielement Antennas for Selection Combining by Means of a Butler Matrix in Different MIMO Environments

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