Ultra-Reliable Communication in 5G mmWave Networks: A Risk-Sensitive Approach
By Trung Kien Vu, Medhi Bennis, Merouane Debbah, Matti Latva-aho, Choong Seon Hong. 2018
41 citations recorded by the source corpus.
In this letter, we investigate the problem of providing gigabit wireless access with reliable communication in 5G millimeter-wave (mmWave) massive multiple-input multiple-output networks. In contrast to the classical network design based on average metrics, we propose a distributed risk-sensitive reinforcement learning-based framework to jointly optimize the beamwidth and transmit power, while taking into account the sensitivity of mmWave links due to blockage. Numerical results show that our proposed algorithm achieves more than 9 Gbps of user throughput with a guaranteed probability of 90%, whereas the baselines guarantee less than 7.5 Gbps. More importantly, there exists a rate-reliability-network density tradeoff, in which as the user density increases from 16 to 96 per km2, the fraction of users that achieves 4 Gbps is reduced by 11.61% and 39.11% in the proposed and the baseline models, respectively.
Subfields: Aerospace Engineering, Electrical and Electronic Engineering
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Medhi Bennis
- Merouane Debbah
- Jihong Park
- Sumudu Samarakoon
- Rui Zhang
- Walid Saad
- Yong Zeng
- Mohammad Mozaffari
In Electrical and Electronic Engineering
- Medhi Bennis
- Sumudu Samarakoon
- Merouane Debbah
- Jihong Park
- Chen-Feng Liu
- Mohammed S. Elbamby
- Cristina Perfecto
- Xianfu Chen
Citations in the corpus
- Wireless Network Intelligence at the Edge (2018, background): “In this regard, the research in URLLC and control has recently emerged focusing on coordination [64]–[66], robustness [67]–[69], and sensing [70], [71].”
- Ultrareliable and Low-Latency Wireless Communication: Tail, Risk, and Scale (2018, unknown): “, transmit power and beamwidth) [63], [77].”
- Wireless Edge Computing With Latency and Reliability Guarantees (2019, background): “Largely, these techniques are in line with the idea of overbooking radio resources as a protection against channel vulnerability [30] or to consider risk-sensitive approaches [31].”