Practical bit loading schemes for multi-antenna multi-user wireless OFDM systems

Bartolome, D.; Pérez-Neira, Ana I.; Ibars, Christian

doi:10.1109/acssc.2004.1399296

Cited by 9 publications

(5 citation statements)

References 19 publications

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“…Certainly, in a practical situation K > Q, thus some kind of user grouping should be performed, see e.g. Chapter 5 in [2] or [10]. The analysis presented here is valid for each group of users that would be formed in those cases.…”

Section: Problem Statementmentioning

confidence: 99%

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Spatial scheduling in multiuser wireless systems: from power allocation to admission control

Bartolome

Pérez-Neira

2006

IEEE Trans. Wireless Commun.

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Given a zero forcing transmit beamforming, we focus on how the multi-antenna access point distributes the scarce resource (power) among the single-antenna terminals. Since there is a clear trade-off between the satisfaction of the individual needs and the global performance of the cell, several criteria are proposed, ranging from a classical physical layer point of view of capacity (rate) maximization to Bit Error Rate (BER)based cost functions, which are closer to the second layer of the protocol stack. Between two traditional techniques, namely the uniform power allocation and the equal BER and rate, a new one is proposed, which ultimately provides an intermediate performance. Then, we add BER (or Signal to Noise Ratio) constraints so that the admission control problem has to be solved. Among traditional options, we propose a new mechanism to balance the above-mentioned trade-off between the total performance and the particular user behavior. The results in terms of fairness are presented by a mean vs. variance plot and by the Gini plot.

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Section: Problem Statementmentioning

confidence: 99%

“…Other schemes may provide a lower sum rate but ensure a more fair resource distribution. In practical systems only a finite set of mappings is usually available, thus m is an integer, see [10] for details.…”

Section: C2mentioning

confidence: 99%

Spatial scheduling in multiuser wireless systems: from power allocation to admission control

Bartolome

Pérez-Neira

2006

IEEE Trans. Wireless Commun.

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“…The value of γ i is equal to the composite SNR value due to the recombining of the different signal paths from the transmitter to the receiver. Thus, γ i is also a function of the subcarrier antenna configuration s i , s i ∈ S config , where the set S config contains all possible transmit/receive antenna configurations 7 . Note that the constraint for the subcarrier antenna configurations being equal, i.e.…”

Section: Figmentioning

confidence: 99%

“…Multicarrier systems can substantially increase throughput by tailoring the subcarrier signal constellation sizes according to the channel environment via a technique called bit allocation, which is applicable to either single antenna [5] or multiple antenna systems [6,7]. Furthermore, to reduce hardware costs, power consumption, and complexity, a transceiver can be implemented with fewer RF chains than antennas.…”

Section: Introductionmentioning

confidence: 99%

Antenna Subset Selection with Bit Allocation for Multicarrier Spatial Diversity Transceivers

Wyglinski

2006

IEEE Vehicular Technology Conference

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-In this paper, two novel algorithms are presented that simultaneously perform bit allocation and antenna subset selection for multicarrier spatial diversity transceivers. The goal of the bit allocation is to increase overall system throughput while ensuring that the system remains below a specified error rate. One of the proposed algorithms uses the same signal constellation across all subcarriers, while the other varies the signal constellation. To reduce hardware costs, power consumption, and complexity, the proposed algorithms also employ antenna subset selection and a reduced set of radio frequency (RF) chains. However, unlike previously published algorithms, the proposed algorithms choose array configurations that vary across the subcarriers, yielding even further increases in the overall throughput. The results show that the proposed algorithms employing both multiple antennas and bit allocation will increase the overall throughput of the system. Furthermore, the reduced hardware costs due to a smaller number of RF chains is achieved with a negligible throughput penalty.

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“…Both Thoen et al [6] and Bartolome, Perez-Neira, & Ibars [7] examined the performance benefits of bit allocation employed in multicarrier systems employing multiple antennas. However, the bit allocation techniques employed in these implementations either used approximations of the closed form expressions for the bit error rate (BER), which may yield solutions far from the optimal allocation, or used an incremental approach, which is computationally expensive.…”

Section: Introductionmentioning

confidence: 99%

Loading Algorithm for Multicarrier Spatial Diversity Systems with Antenna Selection

Wyglinski

Labeau²,

Kabal³

2007

IEEE Trans. Wireless Commun.

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-This paper presents two novel loading algorithms for multicarrier systems performing spatial diversity. The algorithms use bit allocation techniques to increase throughput while ensuring the system remains below a specified error rate. One algorithm uses the same signal constellation across all subcarriers while the other varies the signal constellations. To reduce hardware costs, power consumption, and complexity, the proposed algorithms simultaneously perform antenna subset selection, choosing array configurations that yield further increases in the overall throughput. Our results show that the combination of multiple antennas and bit allocation by the proposed algorithms substantially increases throughput. Furthermore, hardware costs are reduced with a negligible penalty in throughput when antenna subset selection is employed.

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Practical bit loading schemes for multi-antenna multi-user wireless OFDM systems

Cited by 9 publications

References 19 publications

Spatial scheduling in multiuser wireless systems: from power allocation to admission control

Spatial scheduling in multiuser wireless systems: from power allocation to admission control

Antenna Subset Selection with Bit Allocation for Multicarrier Spatial Diversity Transceivers

Loading Algorithm for Multicarrier Spatial Diversity Systems with Antenna Selection

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