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.
Highlights
The millimeter-wave and sub-terahertz communication are one of the key enabling technologies for 5th-generation (5G) and beyond cellular systems, which facilitates throughput-intensive and low-latency applications, such as Industrial Internet-of-Things (IIoT), factory automation, augmented reality, and autonomous driving [2]
We extend the Fractional Program (FP) quadratic transform techniques [20], i.e., to take into consideration Joint Transmission (JT)-Coordinated Multi-Point (CoMP) transmission and provide a novel grouping of a multitude of potentially coupled and non-convex signal-to-interference-plus-noise ratio (SINR) conditions, that raise from the link blockage subset combinations of CoMP serving set
We extend the approaches [20] to take into consideration coherent multi-point transmission and provide a novel grouping of a multitude of potentially coupled and non-convex SINR conditions, that raise from the link blockage subset combinations of remote radio units (RRUs)
Summary
The millimeter-wave (mmWave) and sub-terahertz (subTHz) communication are one of the key enabling technologies for 5th-generation (5G) and beyond cellular systems, which facilitates throughput-intensive and low-latency applications, such as Industrial Internet-of-Things (IIoT), factory automation, augmented reality, and autonomous driving [2]. A step towards this direction is introduced in our earlier work [6], where we provide reliable CoMP transmission schemes in the presence of random blockages, by preemptively underestimating the achievable rates over the potential link blockage combinations. These algorithms are still designed for the time-invariant and static case, i.e., the resource allocation problem for a given instance is studied without taking into account network dynamics and stringent latency conditions due to data arrivals and evolving queue backlogs. We investigate on, how to use queue backlogs and channel information at the transmitter to efficiently allocate the required radio and cooperation resources, and to proactively exploit the multiantenna spatial diversity according to the instantaneous needs of the users for dynamic mmWave access networks
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