Capacity and Lattice Strategies for Canceling Known Interference

Erez, Uri; Shamai, Shlomo; Zamir, Ram

doi:10.1109/tit.2005.856935

Cited by 402 publications

(392 citation statements)

References 34 publications

Supporting

Mentioning

391

Contrasting

Order By: Relevance

“…However, using the multiple transmitter and receiver the channel capacity can be significantly increased. Foschini [1] and Telatar [2] ignited much interest in this area by predicting remarkable spectral efficiencies for wireless systems with multiple antennas when the channel exhibits rich scattering and its variations can be accurately tracked.…”

Section: Introductionmentioning

confidence: 99%

“…This capacity increase requires a scattering environment such that the matrix of channel gains between transmit and receive antenna pairs has full rank and independent entries, and that perfect estimates of these gains are available at the receiver. Still the question remains open that the enormous capacity gains initially predicted [1][2] can be obtained in more realistic operating scenario, and what are the specific gains that results from adding more antennas and/or a feedback link between the receiver and transmitter.…”

Section: Introductionmentioning

confidence: 99%

“…Alternatively, the transmitter can send at a rate that cannot be supported by all channel states, in these poor channel states the receiver declares an outage and the transmitted data is lost. In this scenario each transmission rate has an outage probability associated with it and capacity is measured relative to outage probability (capacity CDF) [1].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Ergodic Capacity of MIMO Channel in Multipath Fading Environment

Ahmad¹,

Singh²,

Singh³

2013

IJIEEB

View full text Add to dashboard Cite

Abstract-The demand for the higher bandwidth is continuously increasing, and to cater to wireless communication can be used. The bandwidth has a close relationship with data-rates in turn has a dependency with channel capacity. In this paper, the channel capacity is estimated when CSI is known/not known at the transmitter and it has been shown that the knowledge of the CSI at the transmitter may not be very useful. The channel capacity for the random MIMO channels is also estimated through simulation and outage capacity is discussed. Finally, MIMO channel capacity in the presence of antenna correlation effect is estimated and obtained results are discussed.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Ergodic Capacity of MIMO Channel in Multipath Fading Environment

Ahmad¹,

Singh²,

Singh³

2013

IJIEEB

View full text Add to dashboard Cite

show abstract

“…In this paper, we derive the optimal value of this power scaling factor by considering an equivalent lattice DPC system. In particular, we covert the MIMO-OSTBC channel into its equivalent modulo lattice additive noise (MLAN) channel by using lattice based DPC described in [13]. In more details, we compute at first the equivalent noise seen by the receiver, then the power inflation factor that is used to minimize the equivalent is computed.…”

Section: Introductionmentioning

confidence: 99%

Multiple input multiple output Dirty paper coding: System design and performance

Al-qudah

Rajan

2012

2012 International Conference on Computing, Networking and Communications (ICNC)

View full text Add to dashboard Cite

Abstract-In this paper, a practical multiple input multiple output Dirty paper coding (MIMO-DPC) scheme is designed to cancel the effect of additive interference that is known perfectly to the transmitter. The proposed system uses a trio of encoders -a LDPC code, a vector quantizer implemented as a convolutional decoder and an Orthogonal space time block code (STBC) to achieve temporal coding gain, interference cancelation and spatial diversity, respectively. First, we derive the equivalent noise seen by the receiver using an equivalent lattice based dirty paper code. Then the optimal value of the power inflation factor, which is one of the key system parameters used to minimize the equivalent noise seen by the receiver is derived. Furthermore, we analytically prove that the equivalent noise seen by the receiver tends to 0 for large number of receive antennas. Performance results in the case of various number of receiver antennas are presented and show that significant reduction in bit error probabilities can be obtained over a system that uses no interference cancelation.

show abstract

“…In particular, it has been shown that when the interference is non-causally known to the transmitter and unknown to the receiver, the capacity is the same as if the interference were not present -a result known as 'dirty paper coding'. These results were originally proved for Gaussian channels [6], and have been generalised to other types of causal interference [7][8][9]. Several practical suboptimal implementations of dirty paper coding based on Tomlinson-Harashima (TH) precoding [10,11] have been proposed, for example for digital subscriber line systems [12], for multi-antenna systems [13,14] and CDMA systems [15].…”

Section: Introductionmentioning

confidence: 99%

Multiuser TH-precoding for TDD–CDMA over multipath channels

2007

View full text Add to dashboard Cite

Nonlinear precoding schemes for downlink time-division duplex -CDMA systems over multipath fading channels, are considered. First, the capacity results of a downlink CDMA system with either multiuser detection or precoding, were obtained and compared. It is seen that the two schemes exhibit similar capacity regions for both sum rate and maximum equal rate, which motivates the development of efficient nonlinear transmitter precoding techniques to reduce the receiver complexity at the mobile units without degrading the system performance. We then develop both bit-wise and chip-wise Tomlinson -Harashima (TH) multiuser precoding methods for downlink CDMA with multipath, to remove multi-user interference, inter-chip interference and inter-symbol interference. Efficient algorithms for multiuser power loading and ordering are also developed. Implementation of the proposed TH-precoding schemes in time-varying channels based on channel prediction is addressed as well. Simulations results are provided to demonstrate the effectiveness of the proposed techniques in suppressing interference in downlink CDMA. IntroductionMultiuser detection (MUD) techniques are considered powerful for interference suppression in CDMA systems, especially in uplinks, where the base-station receiver has the knowledge of all users' spreading sequences and channel states, and can perform sophisticated signal processing [1]. In the downlinks, however, the mobile receiver typically has only the knowledge of its own spreading sequence and channel state. Although adaptive linear MUD (either training-based or blind) can be employed for such scenario, the performance can be limited because of the linear constraint on the detector. Moreover, the power constraint of the mobile calls for simple receiver processing. On the other hand, the precoding schemes for downlink CDMA effiectively transfer the signal processing for interference suppression from the mobile receiver to the base-station transmitter. This approach is feasible if the base-station can estimate the downlink channels of all users [e.g. in systems employing time-division duplexing (TDD) where the uplink and downlink channels are reciprocal]. In [2], a precoding method was proposed which is essentially an implementation of the RAKE receiver at the transmitter. Hence this approach does not attempt to mitigate the multiple-access interference (MAI). Recently, different linear precoding techniques have been proposed to combat MAI and inter-chip interference but without considering inter-symbol interference (ISI) [3,4]. If the ISI is present then the complexity of these techniques becomes prohibitive since the dimension of the matrix filter is proportional to the data frame length multiplied by the number of users (i.e. block processing). More recently, bit-wise linear precoding methods have been proposed to reduce the precoding complexity in the presence ISI [5]. The downlink CDMA is a special case of broadcast channels. There has been significant recent interest in characterising the ca...

show abstract

Capacity and Lattice Strategies for Canceling Known Interference

Cited by 402 publications

References 34 publications

Ergodic Capacity of MIMO Channel in Multipath Fading Environment

Ergodic Capacity of MIMO Channel in Multipath Fading Environment

Multiple input multiple output Dirty paper coding: System design and performance

Multiuser TH-precoding for TDD–CDMA over multipath channels

Contact Info

Product

Resources

About