Spatial division multiple access technology and its application to wireless communication systems

Roy, Rajarshi

doi:10.1109/vetec.1997.600425

Cited by 60 publications

(52 citation statements)

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“…Some notable early works are the array processing papers [1,38,44,47], the patent [36] on spatial division multiple access (SDMA), and the seminal information-theoretic works [11,18,42,43,46] that characterized the achievable multi-user capacity regions, assuming that perfect channel state information (CSI) is available in the system. In this section, we summarize some of the main design insights that have been obtained over the years.…”

Section: Linear Processing Schemesmentioning

confidence: 99%

A Review on Importance of Improving Spectral Efficiency in Massive MIMO Communications

Krishna¹,

Kumar²,

Rao³

2016

Nccsigma-16

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Section: Linear Processing Schemesmentioning

confidence: 99%

A Review on Importance of Improving Spectral Efficiency in Massive MIMO Communications

Krishna¹,

Kumar²,

Rao³

2016

Nccsigma-16

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“…With advances in physical (PHY) layer technologies such as multi user MIMO (MU-MIMO) [1], [2] it is now possible to receive or decode several simultaneous transmissions in a wireless channel. This phenomenon is commonly referred to as the Multi-Packet Reception (MPR).…”

Section: A Backgroundmentioning

confidence: 99%

QoS provisioning with adaptive backoff algorithm for IEEE 802.11ac under multipacket reception

Arun¹,

Venkatesh²,

Dappuri³

2014

2014 9th International Symposium on Communication Systems, Networks &Amp; Digital Sign (CSNDSP)

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Abstract-Recent advances in physical layer communication techniques, enable receivers to decode multiple simultaneous transmissions. This technique is known as the multipacket reception (MPR). In this paper, we propose an enhancement to the IEEE 802.11ac EDCA protocol for channels supporting MPR for QoS provisioning. We show that in the case of MPR, in addition to CWmin, CWmax and AIF SN , we can use two more parameters namely (i)threshold and (ii)counter decrement value, that can offer service differentiation. The performance evaluation of the different metrics of the proposed protocol (throughput, delay, and jitter) is carried out using extensive simulations.

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“…The lower bound is very accurate, while the upper bound is only tight at high correlation. 5 These matrices can be obtained from a compact singular value decompo- Fig. 3.…”

Section: B Numerical Illustrations Under Perfect Csimentioning

confidence: 99%

Receive Combining vs. Multi-Stream Multiplexing in Downlink Systems With Multi-Antenna Users

Björnson

Kountouris

Bengtsson

et al. 2013

IEEE Trans. Signal Process.

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Abstract-In downlink multi-antenna systems with many users, the multiplexing gain is strictly limited by the number of transmit antennas N and the use of these antennas. Assuming that the total number of receive antennas at the multi-antenna users is much larger than N , the maximal multiplexing gain can be achieved with many different transmission/reception strategies. For example, the excess number of receive antennas can be utilized to schedule users with effective channels that are nearorthogonal, for multi-stream multiplexing to users with wellconditioned channels, and/or to enable interference-aware receive combining. In this paper, we try to answer the question if the N data streams should be divided among few users (many streams per user) or many users (few streams per user, enabling receive combining). Analytic results are derived to show how user selection, spatial correlation, heterogeneous user conditions, and imperfect channel acquisition (quantization or estimation errors) affect the performance when sending the maximal number of streams or one stream per scheduled user-the two extremes in data stream allocation.While contradicting observations on this topic have been reported in prior works, we show that selecting many users and allocating one stream per user (i.e., exploiting receive combining) is the best candidate under realistic conditions. This is explained by the provably stronger resilience towards spatial correlation and the larger benefit from multi-user diversity. This fundamental result has positive implications for the design of downlink systems as it reduces the hardware requirements at the user devices and simplifies the throughput optimization.

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Spatial division multiple access technology and its application to wireless communication systems

Cited by 60 publications

References 0 publications

A Review on Importance of Improving Spectral Efficiency in Massive MIMO Communications

A Review on Importance of Improving Spectral Efficiency in Massive MIMO Communications

QoS provisioning with adaptive backoff algorithm for IEEE 802.11ac under multipacket reception

Receive Combining vs. Multi-Stream Multiplexing in Downlink Systems With Multi-Antenna Users

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