Multiuser Interference Cancellation and Detection for Users with More Than Two Transmit Antennas

Kazemitabar, Javad; Jafarkhani, Hamid

doi:10.1109/tcomm.2008.060217

Cited by 73 publications

(108 citation statements)

References 24 publications

Supporting

Mentioning

107

Contrasting

Order By: Relevance

“…CN (0, 1). For backward compatibility with the case of no feedback in [5], Users 1 and 2 transmit Alamouti codes…”

Section: Channel Modelmentioning

confidence: 99%

“…The first scheme is the interference cancellation scheme without feedback proposed in [5], [7]. With the same system model, this scheme can provide a diversity of 2.…”

Section: Comparison Of Our Scheme With Two Existing Schemesmentioning

confidence: 99%

“…The work was extended to a higher number of transmit antennas but only for J = 2 users in [4]. Unfortunately, because of the limitations of OSTBCs, these methods cannot be used for a general case of complex constellations, N > 2 transmit antennas, and J > 2 users [5]. To solve this problem, [5] suggests a method based on quasi-orthogonal space-time block codes (QOSTBCs) [6].…”

Section: Introductionmentioning

confidence: 99%

“…Unfortunately, because of the limitations of OSTBCs, these methods cannot be used for a general case of complex constellations, N > 2 transmit antennas, and J > 2 users [5]. To solve this problem, [5] suggests a method based on quasi-orthogonal space-time block codes (QOSTBCs) [6]. The diversity of each user in such a system with M ≥ J receive antennas is equal to NM using maximum-likelihood detection and N (M − J + 1) using low-complexity array-processing schemes [7].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Multiple-Antenna Interference Cancellation and Detection for Two Users Using Quantized Feedback

Jafarkhani

2011

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

When two users transmit signals to a common receiver, one can design precoders to cancel the interference for each user, if each user knows all the channel information perfectly. Also the diversity for each user is full. However, in practice, perfect channel information is not available. In this paper, we design precoders for two users with two transmit antennas and one receiver with two receive antennas using quantized feedback. We propose to construct codebook using Grassmannian line packing. By choosing precoders from the codebook properly, our proposed scheme can cancel the interference for each user. Also we analytically prove that our system can achieve full diversity for each user. Then we extend our scheme to any number of transmit and receive antennas. Simulation results confirm our analytical proof and show that our scheme can serve as a bridge between a system with no feedback and a system with perfect feedback. Index TermsMulti-user detection, multiple antennas, interference cancellation, precoder, quantized feedback, Grassmannian line packing

show abstract

“…CN (0, 1). For backward compatibility with the case of no feedback in [5], Users 1 and 2 transmit Alamouti codes…”

Section: Channel Modelmentioning

confidence: 99%

“…The first scheme is the interference cancellation scheme without feedback proposed in [5], [7]. With the same system model, this scheme can provide a diversity of 2.…”

Section: Comparison Of Our Scheme With Two Existing Schemesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Multiple-Antenna Interference Cancellation and Detection for Two Users Using Quantized Feedback

Jafarkhani

2011

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

show abstract

“…When channels are in deep fading, the signal-to-noise (SNR) level at the receiver is low and systems cannot support specified transmission rate, which consequently results in outage events with finite diversity gain. Various techniques have been intensively studied to improve the spatial diversity gain, e.g., Alamouti codes [6], space-time block codes (STBCs) [7], [8], and beamforming methods for point-to-point multi-input multi-output (MIMO) channels; the interference cancellation (IC) method for multi-access channels (MACs) [9], [10]; and the downlink IC method for broadcast channels (BCs) [11]. Conceptually, the DoF gain and the diversity gain demonstrate different dimensions of performance metrics in high SNR.…”

mentioning

confidence: 99%

Maximum-Rate Transmission With Improved Diversity Gain for Interference Networks

Jafarkhani

2013

IEEE Trans. Inform. Theory

View full text Add to dashboard Cite

Interference alignment (IA) was shown effective for interference management to improve transmission rate in terms of the degree of freedom (DoF) gain. On the other hand, orthogonal space-time block codes (STBCs) were widely used in point-to-point multi-antenna channels to enhance transmission reliability in terms of the diversity gain. In this paper, we connect these two ideas, i.e., IA and space-time block coding, to improve the designs of alignment precoders for multi-user networks. Specifically, we consider the use of Alamouti codes for IA because of its rate-one transmission and achievability of full diversity in point-to-point systems. The Alamouti codes protect the desired link by introducing orthogonality between the two symbols in one Alamouti codeword, and create alignment at the interfering receiver. We show that the proposed alignment methods can maintain the maximum DoF gain and improve the ergodic mutual information in the long-term regime, while increasing the diversity gain to 2 in the short-term regime. The presented examples of interference networks have two antennas at each node and include the two-user X channel, the interferring multi-access channel (IMAC), and the interferring broadcast channel (IBC).

show abstract

Multiuser MIMO receivers for space frequency block coded SC‐FDMA systems

Chang

Ueng

Wang

et al. 2014

Int J Communication

View full text Add to dashboard Cite

SummarySingle carrier‐frequency division multiple access (SC‐FDMA) has been adopted as the uplink transmission standard in fourth generation cellular network to enable the power efficiency transmission in mobile station. Because multiuser MIMO (MU‐MIMO) is a promising technology to fully exploit the channel capacity in mobile radio network, this paper investigates the uplink transmission of SC‐FDMA systems with orthogonal space frequency block codes (SFBC). Two linear MU‐MIMO receivers, orthogonal SFBC (OSFBC) and minimum mean square error (MMSE), are derived for the scenarios with limited number of users or adequate receive antennas at base station. In order to effectively eliminate the multiple access interference (MAI) and fully exploit the capacity of MU‐MIMO channel, we propose a turbo MU‐MIMO receiver, which iteratively utilizes the soft information from maximum a posteriori decoder to cancel the MAI. By the simulation results in several typical MIMO channels, we find that the proposed MMSE MU‐MIMO receiver outperforms the OSFBC receiver over 1 dB at the cost of higher complexity. However, the proposed turbo MU‐MIMO receivers can effectively cancel the MAI under overloaded channel conditions and really achieve the capacity of MU‐MIMO channel. Copyright © 2014 John Wiley & Sons, Ltd.

show abstract

Multiuser Interference Cancellation and Detection for Users with More Than Two Transmit Antennas

Cited by 73 publications

References 24 publications

Multiple-Antenna Interference Cancellation and Detection for Two Users Using Quantized Feedback

Multiple-Antenna Interference Cancellation and Detection for Two Users Using Quantized Feedback

Maximum-Rate Transmission With Improved Diversity Gain for Interference Networks

Multiuser MIMO receivers for space frequency block coded SC‐FDMA systems

Contact Info

Product

Resources

About