Multipath performance of adaptive antennas with multiple interferers and correlated fadings

Pham, Tri; Balmain, K. G.

doi:10.1109/25.752558

Cited by 55 publications

(38 citation statements)

References 10 publications

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“…We show that these bounds are generally tighter than those of [5]. Moreover, we extend the approaches in [7] and obtain new closed-form approximations of the SEP that do not require Monte Carlo simulation and are close to simulation results.…”

Section: Bounds and Approximations For Optimum Combining Of Signals Imentioning

confidence: 59%

“…However, the results are limited to the case of BPSK and no thermal noise. Approximations for the BEP have been presented in [7] and [8] for binary modulation in the presence of thermal noise. However, the approximation of [7] still requires Monte Carlo simulation to derive mean eigenvalues (a table is provided in [7] for some cases), and the approximation of [8] is valid only for the case when the number of interferers is less than the number of antenna elements.…”

Section: Bounds and Approximations For Optimum Combining Of Signals Imentioning

confidence: 99%

“…Since the computation time for the numerical evaluation of (20) increases with the number of antennas and interferers, rigorous bounds, as in [5], or approximate expressions, as in [7], are useful; unfortunately, the bounds in [5] are generally not very tight, and the approximation in [7] requires Monte Carlo simulation. This motivates the need to derive simpler and tighter bounds or approximate expressions in closed form.…”

Section: Evaluation Of the Exact Sepmentioning

confidence: 99%

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Bounds and approximations for optimum combining of signals in the presence of multiple cochannel interferers and thermal noise

Chiani

Win

Mallik

et al. 2003

IEEE Trans. Commun.

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Abstract-We derive an upper bound and investigate some approximations on the symbol error probability (SEP) for coherent detection of -ary phase-shift keying, using an array of antennas with optimum combining in wireless systems in the presence of multiple uncorrelated equal-power cochannel interferers and thermal noise in a Rayleigh fading environment. Our results are general and valid for an arbitrary number of antenna elements as well as an arbitrary number of interferers. In particular, the exact SEP is derived for an arbitrary number of antennas and interferers; the computational complexity of the exact solution depends on the minimum number of antennas and interferers. Moreover, closed-form approximations are provided for the cases of dual optimum combining with an arbitrary number of interferers, and of two interferers with an arbitrary number of antenna elements. We show that our bounds and approximations are close to Monte Carlo simulation results for all cases considered in this paper.

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Section: Bounds and Approximations For Optimum Combining Of Signals Imentioning

confidence: 59%

Section: Bounds and Approximations For Optimum Combining Of Signals Imentioning

confidence: 99%

Section: Evaluation Of the Exact Sepmentioning

confidence: 99%

See 1 more Smart Citation

Bounds and approximations for optimum combining of signals in the presence of multiple cochannel interferers and thermal noise

Chiani

Win

Mallik

et al. 2003

IEEE Trans. Commun.

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“…Such methods have been put to good use in communication-theoretic literature, see, for example, [33], [34]. We have found that a sample size of = 5000 is sufficient to compute the moments accurately enough for our analysis.…”

Section: A Statistical Model For Eesmmentioning

confidence: 83%

An Accurate Model for EESM and its Application to Analysis of CQI Feedback Schemes and Scheduling in LTE

Donthi

Mehta²

2011

IEEE Trans. Wireless Commun.

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Abstract-The Effective Exponential SNR Mapping (EESM)is an indispensable tool for analyzing and simulating next generation orthogonal frequency division multiplexing (OFDM) based wireless systems. It converts the different gains of multiple subchannels, over which a codeword is transmitted, into a single effective flat-fading gain with the same codeword error rate. It facilitates link adaptation by helping each user to compute an accurate channel quality indicator (CQI), which is fed back to the base station to enable downlink rate adaptation and scheduling. However, the highly non-linear nature of EESM makes a performance analysis of adaptation and scheduling difficult; even the probability distribution of EESM is not known in closed-form. This paper shows that EESM can be accurately modeled as a lognormal random variable when the subchannel gains are Rayleigh distributed. The model is also valid when the subchannel gains are correlated in frequency or space. With some simplifying assumptions, the paper then develops a novel analysis of the performance of LTE's two CQI feedback schemes that use EESM to generate CQI. The comprehensive model and analysis quantify the joint effect of several critical components such as scheduler, multiple antenna mode, CQI feedback scheme, and EESM-based feedback averaging on the overall system throughput.Index Terms-Effective exponential SNR mapping (EESM), long term evolution (LTE), orthogonal frequency division multiplexing (OFDM), channel quality feedback, multiple antenna diversity, frequency-domain scheduling, adaptive modulation and coding, lognormal random variable.

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“…whereλ m,t = E[λ m,t ] andλ m,t can be found via closed-form solutions (in some special cases) or Monte Carlo simulations as discussed in [32].…”

Section: A Probability Of Error In Each Layermentioning

confidence: 99%

High-rate groupwise STBC using low-complexity SIC based receiver

Nguyen

Choi

Le‐Ngoc

2009

IEEE Trans. Wireless Commun.

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Multipath performance of adaptive antennas with multiple interferers and correlated fadings

Cited by 55 publications

References 10 publications

Bounds and approximations for optimum combining of signals in the presence of multiple cochannel interferers and thermal noise

Bounds and approximations for optimum combining of signals in the presence of multiple cochannel interferers and thermal noise

An Accurate Model for EESM and its Application to Analysis of CQI Feedback Schemes and Scheduling in LTE

High-rate groupwise STBC using low-complexity SIC based receiver

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