Level crossing rates and average outage durations of SINR with multiple co-channel interferers

Annavajjala, Ramesh; Zhang, Jinyun

doi:10.1109/milcom.2010.5680111

Cited by 6 publications

(15 citation statements)

References 11 publications

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“…In fact, studying the LCR and the AOD is of major importance when it comes to evaluating adaptive communication systems in terms of the optimum packet length and the packet error rate (PER) [4]- [5]. Second-order statistics are also more meaningful when analyzing the performance of a communication system in a cellular environment with co-channel interference where the AOD is more important than the probability of outage itself [6]. In [4], the authors derived the expression of the LCR for a multi-antenna system employing maximum ratio This work was supported by the KAUST Office of Sponsored Research.…”

Section: Introductionmentioning

confidence: 99%

Level Crossing Rate and Average Outage Duration of Free Space Optical Links

Issaid

Alouini

2019

IEEE Trans. Commun.

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The level crossing rate (LCR) and the average outage duration (AOD) are two important second order statistics that allow a deeper understanding of the behavior of the channel. In this paper, we study these metrics in order to assess the performance of free space optical (FSO) communication links in the presence of weak atmospheric turbulence and Rice-induced pointing errors. More specifically, we derive an integral and a Gauss-Laguerre quadrature representation for both the LCR and the AOD in the single hop case and for their respective bounds in the multihop case. Selected numerical simulations are presented to show the accuracy of the derived results and to study the effect of certain system parameters on these two performance metrics.

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Section: Introductionmentioning

confidence: 99%

Level Crossing Rate and Average Outage Duration of Free Space Optical Links

Issaid

Alouini

2019

IEEE Trans. Commun.

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“…To the best of our knowledge, this is the first time to report these exact closed-form LCR and AOD expressions for this setting. It is worth noting that the results in [19] are the special cases of the expressions derived in this paper when the number of receive diversity branches is set to 1 as shown in Section V-C. A summary of the most relevant works in the literature on the LCR derivation is listed in Table I. [11] Independent Rayleigh-fading with two-branch selection combining (SC), equal-gain (EGC) combining and maximal-ratio combining (MRC) for a single-user AWGN channel ECFS [12] Independent Nakagami-fading multiple-branch SC, EGC and MRC ECFS for SC and MRC Numerical integration solution for EGC [13] EGC and MRC over independent multiple-branch ECFS for MRC with Rayleigh i.i.d.…”

Section: Introductionmentioning

confidence: 92%

“…Seldom attention was given to systems where noise and interference powers are comparable. In [19] an exact closed-form expression was obtained for the LCR of a single-antenna receiver with multiple interferers traveling at different speeds with unequal powers under AWGN and Rayleigh fading channel. However, it cannot be applied to MRC and hence loses the diversity gain.…”

Section: Introductionmentioning

confidence: 99%

“…co-channel interferers Interference-limited MRC point-to-point system with i.i.d. ECFS for equal average power case [6] frequency-selective Rayleigh fading channel with equal and unequal average power interferers ACFS for unequal average power case Single antenna nodes with Rayleigh-fading channels with interferers having unequal average powers and different speeds ECFS for the LCR of the SINR [19] LCR and AOD take place in a variety of applications ranging from estimating the system PER by using the FSMC model of the system to optimizing the packet length of automatic repeat request (ARQ)-based systems. In [20], Yousefizadeh and Jafarkhani estimated the PER of a multi-input multi-output (MIMO) system in the presence of co-channel interferers under AWGN and fading channels by using FSMC model although strong approximations were made in the SINR expression, while Fukawa et al [6] used the FSMC model to evaluate the PER of the point-to-point system under frequency selective fading.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, the exact LCR and AOD expressions are derived, in contrast to e.g., [6], under the effects of both AWGN and fading channels, in contrast SIR or signal-to-noise ratio (SNR) focused works e.g., [14], [17], with a receiver employing MRC, in contrast to [19]. Further, to easily acquire the LCR behavior with lesser computational complexity under different conditions, an approximate LCR expression is derived.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Second-Order Statistics of MIMO Rayleigh Interference Channels: Theory, Applications, and Analysis

Ali,

Yetis,

Torlak

2015

Preprint

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While first-order channel statistics, such as bit-error rate (BER) and outage probability, play an important role in the design of wireless communication systems, they provide information only on the static behavior of fading channels. On the other hand, second-order statistics, such as level crossing rate (LCR) and average outage duration (AOD), capture the correlation properties of fading channels, hence, are used in system design notably in packet-based transmission systems. In this paper, exact closed-form expressions are derived for the LCR and AOD of the signal at a receiver where maximal-ratio combining (MRC) is deployed over flat Rayleigh fading channels in the presence of additive white Gaussian noise (AWGN) and co-channel interferers with unequal transmitting powers and unequal speeds. Moreover, in order to gain insight on the LCR behavior, a simplified approximate expression for the LCR is presented. As an application of LCR in system designs, the packet error rate (PER) is evaluated through finite state Markov chain (FSMC) model. Finally, as another application again by using the FSMC model, the optimum packet length to maximize the throughput of the system with stop-and-wait automatic repeat request (SW-ARQ) protocol is derived. Simulation results validating the presented expressions are provided.

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Opportunistic relaying in wireless body area networks: Coexistence performance

Dong

Smith

2013

2013 IEEE International Conference on Communications (ICC)

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Abstract-In this paper, a cooperative two-hop communication scheme, together with opportunistic relaying (OR), is applied within a mobile wireless body area network (WBAN). Its effectiveness in interference mitigation is investigated in a scenario where there are multiple closely-located networks. Due to a typical WBAN's nature, no coordination is used among different WBANs. A suitable time-division-multiple-access (TDMA) is adopted as both an intra-network and also an inter-network access scheme. Extensive on-body and off-body channel gain measurements are employed to gauge performance, which are overlaid to simulate a realistic WBAN working environment. It is found that opportunistic relaying is able to improve the signalto-interference-and-noise ratio (SINR) threshold value at outage probability of 10% by an average of 5 dB, and it is also shown that it can reduce level crossing rate (LCR) significantly at a low SINR threshold value. Furthermore, this scheme is more efficient when on-body channels fade less slowly.

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Level crossing rates and average outage durations of SINR with multiple co-channel interferers

Cited by 6 publications

References 11 publications

Level Crossing Rate and Average Outage Duration of Free Space Optical Links

Level Crossing Rate and Average Outage Duration of Free Space Optical Links

Second-Order Statistics of MIMO Rayleigh Interference Channels: Theory, Applications, and Analysis

Opportunistic relaying in wireless body area networks: Coexistence performance

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