scholarly journals cDERSA: Cognitive D2D Enabled Relay Selection Algorithm to Mitigate Blind-Spots in 5G Cellular Networks

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Adeel Iqbal ◽  
Muddasir Rahim ◽  
Riaz Hussain ◽  
Abdulfattah Noorwali ◽  
Mohammad Zubair Khan ◽  
...  
2015 ◽  
Vol 713-715 ◽  
pp. 1413-1418
Author(s):  
Zhi Hao Ruan ◽  
Shi Xiang Shao ◽  
Jun Sun

With the development of mobile communication, D2D (Device-to-Device technology) has become a research hotpot. In this paper, we first derive the channel capacity of an n-hop link and get the formula of spectrum efficiency. And then to maximize the spectrum efficiency, we focus the algorithm of selecting the best relay for data transmission in a D2D cluster of cellular network. The algorithm proposed in this paper is an improvement of the greedy algorithm. This algorithm solves the problem that the greedy algorithm would be invalid in the case of having a big hole in the topology. At last, we could see a significant gain in terms of spectrum efficiency by using the new relay selection algorithm.


2014 ◽  
Vol 513-517 ◽  
pp. 3423-3428
Author(s):  
Zhi Kang Zhou ◽  
Qi Zhu

In this paper, an amplify-and-forward (AF) multi-relay network is considered. In order to minimize the system outage probability, a new power allocation and multi-relay selection algorithm is proposed under total power constraint and each node power constraint. In the proposed algorithm, the ideal of ordering is adopted, which leads to the remarkable decrease of the computation complexity together with simple power reallocation. Simulation results show that the proposed multi-relay selection algorithm performs close to the optimal scheme with optimal power allocation and exhaustive search (OPA-ES) but with much lower complexity.


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