Performance enhancement of multi-hop wireless systems by optimizing the number and location of relays

Performance Measurement and Optimization of Relays Used for 5G Ultra Reliable Low Latency Communication Network

“…, N .Each particle in the search space is indicated by its position. The position of each particle xi = (x 1 i , x 2 i . .…”

“…With the wireless technologies growing very fast and a huge competition in Telecommunication sector, utilization of spectral resources need to be maximized in order to meet the extremely high data rate targets of the next generation wireless communication networks. Relaying [1]- [2] has proved to be one of the efficient ways to enhance the performance of wireless transmission in the present wireless communication systems by mitigating wireless fading, minimizing path loss and exploiting spatial diversity apart from significantly improving the quality of service (QoS) and capacity. Among different relaying protocols decode-andforward (DF) protocols are popularly used for improving quality of service and capacity [3]- [4].…”

“…To address this issue, Polyanskiy [6] defined an approximation of achievable coding rate for a system involving single-hop by taking error probability into consideration which seems to be accurate. The relationship between coding rate (r ) , length of code block (m) , probability of error (Ɛ) and signal to noise ratio(SNR ) (γ) as per the results in [7] are given by γ (1) where is the inverse Q function. The Q function can be given by…”

On optimal deployment of low power nodes for high frequency next generation wireless systems

“…One popular criteria of optimizing relay station positions is to minimize the outage probability. Study [4] evaluates outage probability based on path-loss for uniformly distributed users in a circular cell. The authors propose a simple algorithm that iteratively increases the distance between the base station and relays until a specific outage probability is reached.…”

Evaluation of outage probability for uniformly distributed users based on signal‐to‐interference‐plus‐noise ratio

“…The performance of wireless systems has a strong relation with the location of its wireless nodes [1]. This location is determined by the distribution of users over the cell.…”