Asynchronous Polarized Cooperative MIMO Communication

Sohaib, Sarmad; So, Daniel K. C.

doi:10.1109/vetecs.2009.5073407

Cited by 16 publications

(11 citation statements)

References 11 publications

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“…3, which includes channelestimation error and relay-self-interference cancellation, and treats the source-to-destination link as a source of noise. The mutual-information analysis is, however, still complicated by the fact that the aggregate noises v r (t) and v d (t) are generally non-Gaussian, as a result of the channel-estimation-error components in (11) and (16). However, it is known that, among all noise distributions of a given covariance, the Gaussian one is worst from a mutual-information perspective [20].…”

Section: Bounds On Achievable Ratementioning

confidence: 99%

“…In this appendix, we characterize the channel-estimateconditioned covariance of the aggregate interference v r , whose expression was given in (11).…”

Section: Appendix B Interference Cancellation Detailsmentioning

confidence: 99%

“…We focus on CSI imperfections that result from the use of pilot-aided least-squares (LS) channel estimation performed in the presence of limited-DR. Moreover, we consider regenerative relays that decode-andforward (as in [3], [6]- [10]), as opposed to simpler nonregenerative relays that only amplify-and-forward (as in [11]- [15]). …”

Section: Introductionmentioning

confidence: 99%

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

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et al. 2012

IEEE J. Select. Areas Commun.

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Abstract-In this paper we consider the problem of full-duplex multiple-input multiple-output (MIMO) relaying between multiantenna source and destination nodes. The principal difficulty in implementing such a system is that, due to the limited attenuation between the relay's transmit and receive antenna arrays, the relay's outgoing signal may overwhelm its limited-dynamic-range input circuitry, making it difficult-if not impossible-to recover the desired incoming signal. While explicitly modeling transmitter/receiver dynamic-range limitations and channel estimation error, we derive tight upper and lower bounds on the endto-end achievable rate of decode-and-forward-based full-duplex MIMO relay systems, and propose a transmission scheme based on maximization of the lower bound. The maximization requires us to (numerically) solve a nonconvex optimization problem, for which we detail a novel approach based on bisection search and gradient projection. To gain insights into system design tradeoffs, we also derive an analytic approximation to the achievable rate and numerically demonstrate its accuracy. We then study the behavior of the achievable 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.

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Section: Bounds On Achievable Ratementioning

confidence: 99%

“…In this appendix, we characterize the channel-estimateconditioned covariance of the aggregate interference v r , whose expression was given in (11).…”

Section: Appendix B Interference Cancellation Detailsmentioning

confidence: 99%

See 1 more Smart Citation

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

Day

Margetts

Bliss

et al. 2012

IEEE J. Select. Areas Commun.

320

244

View full text Add to dashboard Cite

show abstract

“…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.

306

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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.

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“…Cooperative diversity is an extension of spatial diversity that exploits the broadcast nature of wireless channel. It mimics the performance advantages of MIMO systems and is achieved by the transmission through additional relay nodes [4][5][6][7][8][9][10][11][12]. The source node broadcasts data to the relay and the destination nodes.…”

Section: Introductionmentioning

confidence: 99%

Energy allocation for green multiple relay cooperative communication

Sohaib

2012

J Wireless Com Network

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Cooperative communication achieves diversity through spatially separated cooperating nodes, which are battery powered in most applications. Therefore the energy consumption must be minimized without compromising the quality of service. In this context, we present a novel energy allocation scheme for multiple relay nodes that results in efficient cooperative multiple-input multiple-output (MIMO) communication. Considering channel path loss, the total transmission energy is distributed between the source and the relay nodes. The energy distribution ratio between the relay and direct link is optimized such that the quality of received signal is maintained with minimum total transmission energy consumption. We calculate the energy distribution ratio analytically and verified it through computer simulation. With the new energy allocation scheme, the system also obtains an increased channel capacity as compared to the cooperative scheme with conventional equal energy allocation and the non-cooperative scheme. Optimal relay positioning with the proposed energy allocation scheme is also explored to maximize the capacity.

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Asynchronous Polarized Cooperative MIMO Communication

Cited by 16 publications

References 11 publications

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

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

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

Energy allocation for green multiple relay cooperative communication

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