Latency-Constrained Highly-Reliable mmWave Communication via Multi-point Connectivity

TL;DR

This paper presents a novel blockage-aware multi-point transmission algorithm for mmWave communication that enhances reliability and reduces latency through dynamic resource allocation and beamforming, outperforming baseline methods.

Contribution

It introduces a new blockage-aware, Lyapunov-based control algorithm with robust beamforming for power minimization under latency constraints in mmWave networks.

Findings

Outperforms baseline scenarios in presence of blockages

Achieves power-efficient, high-reliability, low-latency communication

Utilizes adaptive multi-antenna and cooperation strategies

Abstract

The sensitivity of millimeter-wave (mmWave) radio channel to blockage is a fundamental challenge in achieving low-latency and ultra-reliable connectivity. In this paper, we explore the viability of using coordinated multi-point (CoMP) transmission for a delay bounded and reliable mmWave communication. We propose a novel blockage-aware algorithm for the sum-power minimization problem under the user-specific latency requirements in a dynamic mobile access network. We use the Lyapunov optimization framework, and provide a dynamic control algorithm, which efficiently 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 radio and cooperation resources, and proactively leverages the multi-antenna spatial diversity 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 and an adaptive selection of the CoMP serving set from the available remote radio units (RRUs). 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 blockages, the proposed methods outperform the baseline scenarios and provide power-efficient, high-reliable, and low-latency mmWave communication.