Energy states aided relay selection and optimal power allocation for cognitive relaying networks

A matching‐based context‐aware relay assignment scheme with power control in ad‐hoc wireless networks

“…In ref. [30], the energy efficiency and choosing the best relay in a cognitive relaying network is studied, via a Markov chain model with finite state. iii) Relay assignment for ad‐hoc networks, where communication is defined as connection between two or more nodes without preexisting infrastructure.…”

“…Studies on cooperative communications could be broadly classified into the three categories: i) physical layer algorithms that exploit distributed antennas on other nodes in the network resulted in several cooperative protocols at the physical layer [18][19][20][21][22], ii) network layer algorithms for cooperative networks, where the literature in this field formulate challenges as nonlinear program in which provided solutions are appropriate only for a few simple network structures. For this category, different relay selection techniques have been proposed in recent studies [16,[23][24][25][26]. In ref.…”

“…lines 2-5 and 7-15 in Algorithm 1) and the last containing nested for loop (i.e. lines [22][23][24][25][26][27][28][29][30][31][32][33][34]. It should be noted that the complexity of stage 1 is mainly due to the many-to-one matching procedure.…”

Cache Aided Decode‐and‐Forward Relaying Networks: From the Spatial View

“…With the rapid progress in wireless big data, a lot of wireless techniques have been proposed to enhance the transmission quality and reliability [1][2][3][4][5][6][7][8][9][10]. Cooperative relaying, such as amplify-and-forward (AF) and decode-and-forward (DF) relaying protocols, is an effective means to enhance network reliability as well as security [11,12], extend coverage region [13,14], and reduce the impact of interference [15][16][17].…”