D2D communication as an underlay to next generation cellular systems with resource management and interference avoidance

Swetha, Gadiraju Divija; Murthy, Garimella Rama

doi:10.1109/wispnet.2017.8299983

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…When the transmission power varied, it was found that the spectrum efficiency increased up to 30dBm and beyond that there was no further increase of the spectrum efficiency. When the EE was compared between the proposed algorithm and the heuristic algorithm from [8], the results showed that the proposed algorithm had a performance which was on average 8.2% better.…”

Section: Discussionmentioning

confidence: 99%

“…Figure 10 shows the comparison of the EE obtained by varying maximum transmit power. The result shows that the proposed algorithm has an improved performance by an average of 8.2% compared to that of the heuristic algorithm presented in [8]. Comparison of optimization algorithms for given numbers of D2D pairs.…”

Section: F Energy Efficiency Optimizationmentioning

confidence: 94%

“…There are studies which have implemented and analyzed mmWave D2D communication networks by optimizing EE and sum rate. In [8], a multiuser communication system consisting of cellular and D2D pairs was analyzed in order to optimize throughput under interference and transmit power constraints. The formulated nonlinear optimization problem was solved by a heuristic algorithm to obtain sub-optimal results while satisfying the minimum data rate requirement.…”

Section: Related Workmentioning

confidence: 99%

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Energy Efficient Resource Allocation in Millimeter-Wave D2D Enabled 5G Cellular Networks

Ombongi¹,

Absaloms

Kibet

2020

Eng. Technol. Appl. Sci. Res.

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The current trend has seen the data capacity and traffic density increase due to the increased demand for multimedia services. Since this cannot be handled successfully by the current 4G networks, there is a need to integrate the mmWave and the Device-to-Device (D2D) communication 5G technologies to meet this increased demand and traffic density. However, there is the challenge of increased interference between dense D2D users and cellular users if D2D users are allowed to reuse the resources allocated to cellular users. This degrades the performance of the D2D users in terms of achievable data rate and Energy Efficiency (EE). The paper formulates a match theoretic resource allocation scheme to maximize the achievable D2D sum rate. In addition, an EE optimization problem is formulated for D2D users by considering the rate and power constraints. The EE optimization problem is solved by the Lagrangian dual decomposition method. The algorithms were simulated in MATLAB and the results were compared to Hungarian and heuristic optimization algorithms. The results showed that the match theoretic resource allocation is on average 1.82 times better than the Hungarian algorithm. At the same time, the match theoretic resource allocation algorithm increases fairness in resource allocation as it maintains a higher sum rate for low and high-density number of users. The proposed EE optimization algorithm improved the D2D performance by 8.2% compared to the heuristic algorithm.

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Section: Discussionmentioning

confidence: 99%

Section: F Energy Efficiency Optimizationmentioning

confidence: 94%

Section: Related Workmentioning

confidence: 99%

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