Power efficient CoMP‐joint transmission with two stage QoSs

Kim, Seung-Yeon; Cho, Choong-Ho

doi:10.1002/ett.3014

Cited by 4 publications

(7 citation statements)

References 26 publications

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“…(ii) SecondNear-CoMP [16]: We assume that system bandwidth is shared by all the SUEs, and SUEs are associated with the nearest SBS and the SBS (except the serving SBS) nearest to the SUE from the set of SBSs which has not been chosen by other SUEs as their coordinated multipoint joint transmission (CoMP-JT) SBSs. Moreover, Algorithm 2 is adopted as the power allocation optimization algorithm.…”

Section: Simulation Resultsmentioning

confidence: 99%

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Energy Efficiency Maximization of Dynamic CoMP‐JT Algorithm in Dense Small Cell Networks

Peng

2018

Wireless Communications and Mobile Computing

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We firstly formulate the energy efficiency (EE) maximization problem of joint user association and power allocation considering minimum data rate requirement of small cell users (SUEs) and maximum transmit power constraint of small cell base stations (SBSs), which is NP-hard. Then, we propose a dynamic coordinated multipoint joint transmission (CoMP-JT) algorithm to improve EE. In the first phase, SUEs are associated with the SBSs close to them to reduce the loss of power by the proposed user association algorithm, where the associated SBSs of each small cell user (SUE) form a dynamic CoMP-JT set. In the second phase, through the methods of fractional programming and successive convex approximation, we transform the EE maximization subproblem of power allocation for SBSs into a convex problem that can be solved by proposed power allocation optimization algorithm. Moreover, we show that the proposed solution has a much lower computational complexity than that of the optimal solution obtained by exhaustive search. Simulation results demonstrate that the proposed solution has a better performance.

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Section: Simulation Resultsmentioning

confidence: 99%

“…Its element is an association indicator decision variable ∈ {0, 1} denoting whether SBS is associated with SUE , = 1, if SBS is associated with SUE ; otherwise = 0. From [16], we can derive the received signal strength of SUE associated with one or more SBSs as follows:…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

Energy Efficiency Maximization of Dynamic CoMP‐JT Algorithm in Dense Small Cell Networks

Peng

2018

Wireless Communications and Mobile Computing

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“…23,24 In Abdelkefi et al, 25 the performance of CoMP technique is studied with CSI error and it is shown that error in estimating CSI can significantly influence the performance. [27][28][29][30][31] Both CR and CoMP transmission are highly promising paradigms for future cellular networks. However, all these issues can be solved with some extra efforts.…”

Section: Discussionmentioning

confidence: 99%

“…21 In this research, we consider CoMP JT technique, which has received significant attention from the wireless communication research community. [27][28][29][30][31] Both CR and CoMP transmission are highly promising paradigms for future cellular networks. Several researches have been conducted on CoMP transmission-based CRNs.…”

Section: Discussionmentioning

confidence: 99%

Cognitive radio network with coordinated multipoint joint transmission

Reasat

Saha

Uddin

2017

Int J Communication

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Cognitive radio (CR) is considered to be a promising technology for future wireless networks to make opportunistic utilization of the unused or underused licensed spectrum. Meanwhile, coordinated multipoint joint transmission (CoMP JT) is another promising technique to improve the performance of cellular networks. In this paper, we propose a CR system with CoMP JT technique. We develop an analytical model of the received signal-to-noise ratio at a CR to determine the energy detection threshold and the minimum number of required samples for energy detection-based spectrum sensing in a CR network (CRN) with CoMP JT technique. The performance of energy detection-based spectrum sensing under the developed analytical model is evaluated by simulation and found to be reliable. We formulate an optimization problem for a CRN with CoMP JT technique to configure the channel allocation and user scheduling for maximizing the minimum throughput of the users. The problem is found to be a complex mixed integer linear programming. We solve the problem using an optimization tool for several CRN instances by limiting the number of slots in frames. Further, we propose a heuristic-based simple channel allocation and user scheduling algorithm to maximize the minimum throughput of the users in CRNs with CoMP JT technique. The proposed algorithm is evaluated via simulation and found to be very efficient.

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“…, (10) where x > 0, 𝜖 > 0 is the mean, 𝛿 > 0 is the shape parameter and, 𝜙(.) is the CDF of the standard normal distribution.…”

Section: Effective Channel Gain Modelingmentioning

confidence: 99%

Reconfigurable intelligent surface aided coordinated multipoint transmission for the simultaneous wireless information and power transfer non‐orthogonal multiple access network

Joan

Thirunavukkarasu

Thangavelu

2021

Trans Emerging Tel Tech

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We consider a reconfigurable intelligent surface (RIS) aided coordinated multipoint (CoMP) transmission to enhance the achievable rates of the cell edge users (CEUs) in a downlink non‐orthogonal multiple access (NOMA) network enabled with simultaneous wireless information and power transfer (SWIPT). The RIS‐enabled SWIPT‐CoMP‐NOMA network improves the spectral efficiency and counterbalances the rate trade‐off introduced by SWIPT. The distribution model of the effective channel gain plays a vital role in ergodic capacity and outage probability analysis. In this article, we approximate the effective channel gains of the CEUs using the inverse Gaussian (IG) function and validate its accuracy using the well‐known Kolmogorov–Smirnov distance (KSD) test. Using the proposed channel gain model, we derive closed‐form expressions for the ergodic rates and outage probabilities of the CEUs. Using Monte‐Carlo simulations, we confirm the accuracy of the derived analytical expressions and show that the proposed IG function is more accurate than the Gamma function in estimating the outage probability. We also found that the proposed system always offers a higher ergodic rate than the SWIPT‐CoMP‐NOMA system.

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Power efficient CoMP‐joint transmission with two stage QoSs

Cited by 4 publications

References 26 publications

Energy Efficiency Maximization of Dynamic CoMP‐JT Algorithm in Dense Small Cell Networks

Energy Efficiency Maximization of Dynamic CoMP‐JT Algorithm in Dense Small Cell Networks

Cognitive radio network with coordinated multipoint joint transmission

Reconfigurable intelligent surface aided coordinated multipoint transmission for the simultaneous wireless information and power transfer non‐orthogonal multiple access network

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