Performance analysis for energy efficiency in wireless cooperative relay networks

Al-Kali, Manar; Yu, Li; Samb, Doudou; Liu, Cong; Wang, Desheng

doi:10.1109/icct.2012.6511255

Cited by 5 publications

(5 citation statements)

References 8 publications

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“…Energy efficiency (EE) quantifies the energy consumed in delivering data. EE is the ratio of total amount of data delivered to the total amount of energy consumed and is given by [42]…”

Section: Energy Efficiency Analysismentioning

confidence: 99%

“…The integrals in I R1 and I R2 are resolved by using the identities [41, eq. (3.371), (7.522.9)] and substituting them into (42) to get the closed-form expression (27).…”

Section: Appendix B Proof Of Propositionmentioning

confidence: 99%

“…Simulation parameter values for the considered system[15],[42],[45]. ; 5 × 10 −5 }W antenna elements (AEs) as {N S , N R , N D i }, where N D i denotes the number of ground users.…”

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confidence: 99%

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Analysis of Multi-User-Based UAV System With Outdated CSI

Shaik,

Keçeci,

Garg

et al. 2024

IEEE Open J. Commun. Soc.

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In this paper, we investigate the performance of multiple-input and multiple-output (MIMO) unmanned air vehicle (UAV) based multi-user communication systems over generalized Nakagami-m fading channels subject to channel feedback delays. The impact of decode-and-forward (DF) based relaying and outdated channel state information is assessed at the receiver nodes. To reduce the complexity and retain the MIMO gains, the transmit antenna selection (TAS) strategy is used to select the best antenna at the source and UAV nodes. A generic framework in the form of closed-form analytical expressions for outage probability (OP), asymptotic OP, and the average symbol error rate of higher-order quadrature amplitude modulation (QAM) schemes such as hexagonal QAM, rectangular QAM, and cross QAM are derived. In addition, energy efficiency analysis is also performed for the considered system model. In this framework, altitude and location-dependent path loss modeling are considered for the air-to-ground links. Optimization of UAV location and altitude is performed through a limited-memory Broyden-Fletcher-Goldfarb-Shanno (LBFGS) algorithm to attain minimum OP (MOP). Results illustrate optimal performance dependent on the channel correlation parameters, antenna elements, and fading conditions. Monte-Carlo simulations are performed to validate the derived analytical results and compared with the existing works.

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“…Energy efficiency (EE) quantifies the energy consumed in delivering data. EE is the ratio of total amount of data delivered to the total amount of energy consumed and is given by [42]…”

Section: Energy Efficiency Analysismentioning

confidence: 99%

“…The integrals in I R1 and I R2 are resolved by using the identities [41, eq. (3.371), (7.522.9)] and substituting them into (42) to get the closed-form expression (27).…”

Section: Appendix B Proof Of Propositionmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of Multi-User-Based UAV System With Outdated CSI

Shaik,

Keçeci,

Garg

et al. 2024

IEEE Open J. Commun. Soc.

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“…In this section, we rely on the SER from section IV to derive the energy efficiency according to [12]:…”

Section: Energy Efficiencymentioning

confidence: 99%

Performance analysis of energy efficiency and symbol error rate in amplify-and-forward cooperative MIMO networks

Al-Kali

Mohammed

2014

2014 Sixth International Conference on Ubiquitous and Future Networks (ICUFN)

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In this paper, we analyze the energy efficiency and the symbol error rate (SER) in the cooperative multiple-input multiple-output (MIMO) relay networks. We employ an amplifyand-forward (AF) relay scheme, where a relay access point occupied with Q antennas cooperatively forwards packets to the destination. Under the assumption of Rayleigh fading channels and time division multiplexing (TDM), we derive new exact closed-form expressions for the the outage probability, SER and the energy efficiency valid for Q antennas. Further asymptotic analysis is done in high SNR regime to characterize the energy efficiency in terms of the diversity order and the array gain. Subsequently, our expressions are quantitatively compared with Monte Carlo simulations. Numerical results are provided to validate the exact and the asymptotic expressions. The results show that the energy efficiency decreases with the number of antennas at the relay according to Q+1. The behavior of the energy efficiency with the relay locations is also discussed in this paper.Index Terms-Cooperative MIMO, energy efficiency, cooperative diversity, symbol error rate.

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“…The result within this paper shows that the energy minimization will not decrease the Signal to Interference Noise Ratio (SINR) of cellular relay network. In [25], the EE of cellular network with Realistic system characteristics and Amplify and Forward (AF) relay is investigated, and by using the convolution coding before transmission, the EE will be increased at high Signal to Noise Ratio (SNR) scenario. In [26], the scenario of Decode and Forward (DF) relay and Direct Transmission (DT) are also investigated.…”

Section: Energy-efficient Architecturesmentioning

confidence: 99%

A Survey on Energy Efficiency in Cellular Networks

Su¹,

Sun²,

Li³

et al. 2013

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With the continuous increase of user requirement, the Information and Communication Technology (ICT) has developed rapidly. As a result, both capacity and coverage performances have been improved, and at the same time, the communication networks have been more energy-intensive. In order to improve the energy efficiency of cellular networks, the green communication must be realized in the future networks. In this article, we present a short survey on energy-efficient technology of cellular networks. Moreover, we classify them into three categories based on their application scenarios: energy-efficient architectures, energy-efficient resource management and energy-efficient radio technologies. For the first scenario, the applications of relay, Coordinated Multiple Points (CoMP) and heterogeneous network are discussed in detail. For the second scenario, the switching off scheme will be introduced as an emphasis of this part. And for the third scenario, the Multiple-Input Multiple-Output (MIMO) and Orthogonal Frequency Division Multiplexing (OFDM) will be introduced as the representatives of the Energy-Efficient Radio Technologies. Finally, based on the technologies introduced above, a prospect forecast of the energy-efficient wireless cellular network is presented.

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Performance analysis for energy efficiency in wireless cooperative relay networks

Cited by 5 publications

References 8 publications

Analysis of Multi-User-Based UAV System With Outdated CSI

Analysis of Multi-User-Based UAV System With Outdated CSI

Performance analysis of energy efficiency and symbol error rate in amplify-and-forward cooperative MIMO networks

A Survey on Energy Efficiency in Cellular Networks

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