Limited feedback signaling for MIMO broadcast channels

Kim, J.S.; Kim, Hojin; Lee, Kwang Bok

doi:10.1109/spawc.2005.1506261

Cited by 19 publications

(18 citation statements)

References 14 publications

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“…This kind of probing idea relates to the popular industrial feedback technique known as Per User Unitary Rate Control (PU2RC) in [148]. Typically PU2RC systems use a deterministic (rather than random) codebook [146].…”

Section: ) Single Receive Antennasmentioning

confidence: 99%

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An overview of limited feedback in wireless communication systems

Love

Heath

Lau

et al. 2008

IEEE J. Select. Areas Commun.

1,352

918

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Abstract-It is now well known that employing channel adaptive signaling in wireless communication systems can yield large improvements in almost any performance metric. Unfortunately, many kinds of channel adaptive techniques have been deemed impractical in the past because of the problem of obtaining channel knowledge at the transmitter. The transmitter in many systems (such as those using frequency division duplexing) can not leverage techniques such as training to obtain channel state information. Over the last few years, research has repeatedly shown that allowing the receiver to send a small number of information bits about the channel conditions to the transmitter can allow near optimal channel adaptation. These practical systems, which are commonly referred to as limited or finite-rate feedback systems, supply benefits nearly identical to unrealizable perfect transmitter channel knowledge systems when they are judiciously designed. In this tutorial, we provide a broad look at the field of limited feedback wireless communications. We review work in systems using various combinations of single antenna, multiple antenna, narrowband, broadband, single-user, and multiuser technology. We also provide a synopsis of the role of limited feedback in the standardization of next generation wireless systems.

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Section: ) Single Receive Antennasmentioning

confidence: 99%

“…In this case users are scheduled onto different beams of a single matrix, inspired by the PU2RC multiuser algorithm [148].…”

Section: E 3gpp2 Ultra Mobile Broadbandmentioning

confidence: 99%

An overview of limited feedback in wireless communication systems

Love

Heath

Lau

et al. 2008

IEEE J. Select. Areas Commun.

1,352

918

View full text Add to dashboard Cite

show abstract

“…Therefore, the limited feedback technique has been regarded as a promising technique for the future wireless communications due to the limited communication resource nowadays. Alternatively, the limited feedback technique has been well implemented in Orthogonal Frequency Division Multiplexing (OFDM), Multi-input-and Multi-Output (MIMO), beamforming and other dominant wireless communication issues [21][22][23][24][25][26]. However, so far only five literature adopted the limited feedback technique in UWA communications [27][28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Cooperative OFDM Underwater Acoustic Communications with Limited Feedback: Part I

Song¹,

Garcia²

2012

IJCA

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Cooperative communications have been proved to be a promising technique in next generation wireless communication and network system. Limited feedback is a novel technique that employs several bit of channel state information (CSI) feedback and achieves almost the same performance as perfect feedback. However, literature on cooperative communications and limited feedback in underwater acoustic (UWA) environments is very scarce. Therefore, in this paper, we propose a novel UWA cooperative communication system with limited feedback. Minimum error rate criterion-based optimization model (Part I) will be involved to analyze the performance of the adaptive power allocation based on the proposed system. Limited feedback general procedure and codebook design will be demonstrated. Simulation results will compare the performance of the full CSI feedback, a few bits of feedback and uniform power allocation. General TermsWireless communications and signal processing KeywordsCooperative communications, minimum error rate criterion, power allocation, limited feedback, Lloyd algorithm.

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“…The first line of work, as in [1]- [3], assumes fixed orthogonal beamforming codebooks. The users feedback the index of the beam with the highest signal-to-interference-plusnoise ratio (SINR) along with the corresponding SINR value.…”

Section: Introductionmentioning

confidence: 99%

“…Similarly, in simulating the ZFBF scheme in Section IV, we assume that the channel quality indicators (CQI) are unquantized. 3 All log functions in this paper are base-2. Assuming that the transmission power, denoted by SNR, is equally divided among the scheduled users, the expected downlink sum rate is given by…”

Section: Introductionmentioning

confidence: 99%

A Limited-Feedback Scheduling and Beamforming Scheme for Multi-User Multi-Antenna Systems

Khoshnevis

2011

2011 IEEE Global Telecommunications Conference - GLOBECOM 2011

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Abstract-This paper proposes an efficient two-stage limitedfeedback beamforming and scheduling scheme for multipleantenna cellular communication systems. The system model includes a base-station with M antennas and a large pool of users with a total feedback rate of B bits per fading block. The feedback process is divided into two stages. In the first stage, the users measure their channel gains from each antenna and feedback the index of the antenna with the highest channel gain along with the gain itself. Based on this information, the basestation schedules M users with the highest channel gains from its M antennas and polls those users for explicit quantization of their vector channels in the second stage. Based on these quantized channels, the base-station then forms zero-forcing beamforming vectors for downlink transmission. This paper presents an approximate analysis for the proposed scheme which is used to optimize the bit allocation between the two feedback stages. It is shown that for a total number of feedback bits B, the number of feedback bits assigned to the second stage, B2, should scale as M (M −1) log(SNR × B). In particular, the fraction B2/B behaves as log B/B in the asymptotic regime where B → ∞. Further, the approximate downlink sum rate is shown to scale as M log SNR + M log log B, suggesting that both multiuser multiplexing and multiuser diversity gains are realized. As the numerical results verify, the proposed feedback scheme, in spite of its low complexity, performs very close to the more complicated beamforming and scheduling schemes in the literature and in fact outperforms such schemes in the high-SNR regime.

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Limited feedback signaling for MIMO broadcast channels

Cited by 19 publications

References 14 publications

An overview of limited feedback in wireless communication systems

An overview of limited feedback in wireless communication systems

Cooperative OFDM Underwater Acoustic Communications with Limited Feedback: Part I

A Limited-Feedback Scheduling and Beamforming Scheme for Multi-User Multi-Antenna Systems

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