Rethinking Indoor Wireless Mesh Design: Low Power, Low Frequency, Full-Duplex

Radunović, Božidar; Gunawardena, Dinan; Key, Peter; Proutière, Alexandre; Singh, Nikhil Kumar; Balan, Vlad; DeJean, G.

doi:10.1109/wimesh.2010.5507905

Cited by 180 publications

(152 citation statements)

References 25 publications

Supporting

Mentioning

151

Contrasting

Order By: Relevance

“…We provide comparison of achievable rates of full-duplex and half-duplex systems for all the self-interference cancellation mechanisms that we have considered. A similar comparison is provided in [6] but the authors have analyzed full-duplex systems with center frequencies and transmission powers different from the ones we have considered. The fullduplex system presented in [6] has center frequencies of around 600 MHz while the full-duplex systems we analyze have a center frequency of 2.4GHz.…”

Section: Introductionmentioning

confidence: 82%

“…A similar comparison is provided in [6] but the authors have analyzed full-duplex systems with center frequencies and transmission powers different from the ones we have considered. The fullduplex system presented in [6] has center frequencies of around 600 MHz while the full-duplex systems we analyze have a center frequency of 2.4GHz. Center frequencies of 2.4 GHz are used by WiFi and Bluetooth systems and result in fullduplex systems with higher self-interference because higher transmission powers are required as pointed out in [6].…”

Section: Introductionmentioning

confidence: 82%

“…The fullduplex system presented in [6] has center frequencies of around 600 MHz while the full-duplex systems we analyze have a center frequency of 2.4GHz. Center frequencies of 2.4 GHz are used by WiFi and Bluetooth systems and result in fullduplex systems with higher self-interference because higher transmission powers are required as pointed out in [6].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Full-duplex wireless communications using off-the-shelf radios: Feasibility and first results

Duarte

Sabharwal

2010

2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers

761

621

View full text Add to dashboard Cite

Abstract-We study full-duplex wireless communication systems where same band simultaneous bidirectional communication is achieved via cancellation of the self-interfering signal. Using offthe-shelf MIMO radios, we present experimental results that characterize the suppression performance of three self-interference cancellation mechanisms, which combine a different mix of analog and digital cancellation. Our experimental results show that while the amount of self-interference increases linearly with the transmitted power, the self-interference can be sufficiently cancelled to make full-duplex wireless communication feasible in many cases. Our experimental results further show that if the self-interference is cancelled in the analog domain before the interfering signal reaches the receiver front end, then the resulting full-duplex system can achieve rates higher than the rates achieved by a half-duplex system with identical analog resources.

show abstract

Section: Introductionmentioning

confidence: 82%

Section: Introductionmentioning

confidence: 82%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Full-duplex wireless communications using off-the-shelf radios: Feasibility and first results

Duarte

Sabharwal

2010

2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers

761

621

View full text Add to dashboard Cite

show abstract

“…Digital-domain suppression attempts to mitigate self-interference after analog-to-digital conversion (ADC) and will not be effective if the analog circuitry and/or ADCs are already overwhelmed by self-interference. Analog-domain suppression attempts to mitigate self-interference between the receiver's antenna(s) and ADC(s); this method was used early on (e.g., [10]) and continues to be the focus of many recent works (e.g., [2], [5], [9], [11], and [12]). Propagation-domain suppression attempts to mitigate self-interference in the wireless propagation environment, before it has a chance to overwhelm the analog and digital circuitry.…”

Section: Introductionmentioning

confidence: 99%

“…Propagation-domain suppression attempts to mitigate self-interference in the wireless propagation environment, before it has a chance to overwhelm the analog and digital circuitry. This may be accomplished by passive isolation (e.g., via antenna separation and/or shielding), directional or polarized antennas (e.g., [7], [11], and [13]), careful antenna placement (e.g., [2]), and/or transmit beamforming (e.g., [1], [6], [8], and [14]). …”

Section: Introductionmentioning

confidence: 99%

Full-Duplex Bidirectional MIMO: Achievable Rates Under Limited Dynamic Range

Day

Margetts

Bliss

et al. 2012

IEEE Trans. Signal Process.

304

View full text Add to dashboard Cite

Abstract-In this paper, we consider the problem of full-duplex bidirectional communication between a pair of modems, each with multiple transmit and receive antennas. The principal difficulty in implementing such a system is that, due to the close proximity of each modem's transmit antennas to its receive antennas, each modem's outgoing signal can exceed the dynamic range of its input circuitry, making it difficult-if not impossible-to recover the desired incoming signal. To address these challenges, we consider systems that use pilot-aided channel estimates to perform transmit beamforming, receive beamforming, and interference cancellation. Modeling transmitter/receiver dynamic-range limitations explicitly, we derive tight upper and lower bounds on the achievable sum-rate, and propose a transmission scheme based on maximization of the lower bound, which requires us to (numerically) solve a nonconvex optimization problem. In addition, we derive an analytic approximation to the achievable sum-rate, and show, numerically, that it is quite accurate. We then study the behavior of the sum-rate as a function of signal-to-noise ratio, interference-to-noise ratio, transmitter/receiver dynamic range, number of antennas, and training length, using optimized half-duplex signaling as a baseline.

show abstract