Time reversal with MISO for ultra-wideband communications: experimental results

Qiu, Robert C.; Zhou, Chunting; Guo, Nan; Zhang, J.Q.

doi:10.1109/rws.2006.1615203

Cited by 83 publications

(46 citation statements)

References 6 publications

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“…The normalized correlation between the CIRs of the forward and backward links is as high as 0.98 as experimentally confirmed in [47].…”

Section: And H(t) Is Asupporting

confidence: 61%

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Time Reversal for Ultra-wideband (UWB) Sensor Networking

Calderon¹,

Qiu²

2007

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“…The normalized correlation between the CIRs of the forward and backward links is as high as 0.98 as experimentally confirmed in [47].…”

Section: And H(t) Is Asupporting

confidence: 61%

“…The UWB channel has the characteristic of spatial reciprocity [47]. If a signal c m (t), m = 1, .., M is sent from the receive array the signal d n (t), n = 1, .., N obtained at the transmit array is given by…”

Section: And H(t) Is Amentioning

confidence: 99%

Time Reversal for Ultra-wideband (UWB) Sensor Networking

Calderon¹,

Qiu²

2007

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“…2) Channel stationarity: the channel impulse responses (CIRs) are assumed to be stationary for at least one probing-and-transmitting cycle. These two assumptions generally hold in reality, especially for indoor environment, as validated through real experiments in [55] and [24]. In [55], Qiu et al conducted experiments in a campus lab area and showed that the correlation between the impulse response of the forward link channel and that of backward link channel is as high as about 0.98, which means that the channel is highly reciprocal.…”

Section: A the Basic Principles Of Trmentioning

confidence: 96%

“…These two assumptions generally hold in reality, especially for indoor environment, as validated through real experiments in [55] and [24]. In [55], Qiu et al conducted experiments in a campus lab area and showed that the correlation between the impulse response of the forward link channel and that of backward link channel is as high as about 0.98, which means that the channel is highly reciprocal. In [24], Wang et al showed with experimental results that the multi-path channel of an office environment is actually not changing a lot.…”

Section: A the Basic Principles Of Trmentioning

confidence: 96%

Time-Reversal Wireless Paradigm for Green Internet of Things: An Overview

Chen

Han

Yang

et al. 2014

IEEE Internet Things J.

119

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Abstract-In this paper, we present an overview of the timereversal (TR) wireless paradigm for green Internet of Things (IoT). It is shown that the TR technique is a promising technique that focuses signal waves in both time and space domains. The unique asymmetric architecture significantly reduces the cost of the terminal devices, the total number of which is expected to be very large for IoT. The focusing effect of the TR technique can harvest the energy of all the multi-paths at the receiver, which improves the energy efficiency of the wireless transmission and thus the battery life of terminal devices in IoT. Facilitated by the high-resolution spatial focusing, the TR division multiple access scheme leverages the uniqueness of the multi-path profiles in the rich-scattering environment and maps them into location-specific signatures, so that spatial multiplexing can be achieved for multiple users operating on the same spectrum. In addition, the TR system can easily support heterogeneous terminal devices by providing various quality-of-service (QoS) options through adjusting the waveform and rate backoff factor. Finally, the unique location-specific signature in TR system can provide additional physical-layer security and thus can enhance the privacy and security of customers in IoT. All the advantages show that the TR technique is a promising paradigm for IoT.Index Terms-Internet of Things (IoT), spatial focusing, temporal focusing, time reversal (TR), time-reversal division multiple access (TRDMA).

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“…Hence, one may see many packet drops at A but not at B, but this does not contradict reciprocity. Reciprocity has been confirmed in measurements [16,28,27] and is used in QUALCOMM's 802.11n proposal [2].…”

Section: Channel Estimationmentioning

confidence: 99%

Interference alignment and cancellation

Gollakota

Perli

Katabi

2009

SIGCOMM Comput. Commun. Rev.

126

151

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The throughput of existing MIMO LANs is limited by the number of antennas on the AP. This paper shows how to overcome this limitation. It presents interference alignment and cancellation (IAC), a new approach for decoding concurrent sender-receiver pairs in MIMO networks. IAC synthesizes two signal processing techniques, interference alignment and interference cancellation, showing that the combination applies to scenarios where neither interference alignment nor cancellation applies alone. We show analytically that IAC almost doubles the throughput of MIMO LANs. We also implement IAC in GNU-Radio, and experimentally demonstrate that for 2x2 MIMO LANs, IAC increases the average throughput by 1.5x on the downlink and 2x on the uplink.

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Time reversal with MISO for ultra-wideband communications: experimental results

Cited by 83 publications

References 6 publications

Time Reversal for Ultra-wideband (UWB) Sensor Networking

Time Reversal for Ultra-wideband (UWB) Sensor Networking

Time-Reversal Wireless Paradigm for Green Internet of Things: An Overview

Interference alignment and cancellation

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