Latency-aware highly-reliable mmWave systems via multi-point connectivity
|Author:||Kumar, Dileep1; Joshi, Satya Krishna1; Tölli, Antti1|
1Centre for Wireless Communications, University of Oulu, 90014 Oulu, Finland
|Online Access:||PDF Full Text (PDF, 1 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2022082956564
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2022-08-29
The sensitivity of the millimeter-wave (mmWave) radio channel to blockages is a fundamental challenge in achieving low-latency and highly-reliable connectivity. In this paper, we explore the viability of using Coordinated Multi-Point (CoMP) transmission for delay bounded and reliable mmWave systems. We propose a blockage-aware framework for the sum-power minimization problem under the user-specific latency requirements in time dynamic mobile access networks. We use the Lyapunov optimization approach and provide a dynamic control algorithm, which transforms a time-average stochastic problem into a sequence of deterministic subproblems. A robust beamformer design is then proposed by exploiting the queue backlogs and channel information, that efficiently allocates the required resources, by proactively tuning the CoMP subsets from the available remote radio units (RRUs), according to the instantaneous needs of the users. Further, to adapt to the uncertainties of the mmWave channel, we consider a pessimistic estimate of the rates over link blockage combinations across the CoMP serving set. Moreover, after the relaxation of coupled and non-convex constraints via the Fractional Program (FP) techniques, a low-complexity closed-form iterative algorithm is provided by solving a system of Karush-Kuhn-Tucker (KKT) optimality conditions. The simulation results manifest that, in the presence of random link blockages, the proposed methods outperform the baseline scenarios and provide power-efficient, highly-reliable, and low-latency mmWave communication.
|Pages:||32822 - 32835|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work wassupported by the European Commission in the framework of the H2020-EUJ-02-2018 project under grant no. 815056 (5G-Enhance) and Academy of Finland under grants no. 318927 (6Genesis Flagship).
|EU Grant Number:||
(815056) 5G-Enhance - 5G Enhanced Mobile Broadband Access Networks in Crowded Environments
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
© The Author(s) 2022. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.