Edge Computing-Enabled Cell-Free Massive MIMO Systems

Abstract

Mobile edge computing (MEC) has been introduced to provide additional computing capabilities at network edges in order to improve performance of latency critical applications. In this paper, we consider the cell-free (CF) massive MIMO framework with implementing MEC functionalities. We consider multiple types of users with different average time requirements for computing/processing the tasks, and consider access points (APs) with MEC servers and a central server (CS) with the cloud computing capability. After deriving successful communication and computing probabilities using stochastic geometry and queueing theory, we present the successful edge computing probability (SECP) for a target computation latency. Through numerical results, we also analyze the impact of the AP coverage and the offloading probability to the CS on the SECP. It is observed that the optimal probability of offloading to the CS in terms of the SECP decreases with the AP coverage. Finally, we numerically characterize the minimum required energy consumption for guaranteeing a desired level of SECP. It is observed that for any desired level of SECP, it is more energy efficient to have larger number of APs as compared to having more number of antennas at each AP with smaller AP density.

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art

“…Moreover, the user grouping needs to be well investigated to further enhance the system performance. Very recently, there have been some research studies pertaining to MEC with massive MIMO and mmWave like [92], [93]. For example, the work in [92] considered a cellfree massive MIMO system with a cloud DC and a number of access points (APs), and further derived the successful edge computing probability (SECP).…”

“…Very recently, there have been some research studies pertaining to MEC with massive MIMO and mmWave like [92], [93]. For example, the work in [92] considered a cellfree massive MIMO system with a cloud DC and a number of access points (APs), and further derived the successful edge computing probability (SECP). This work showed an interesting observation that for a given SECP, the system becomes more energy-efficient with higher AP density and less antennas at each AP, rather than with smaller AP density and larger number of antennas.…”

Computation Offloading and Service Caching in Heterogeneous MEC Wireless Networks

“…There have been several studies on stochastic geometry-based analysis of MECenabled networks. In particular, single-tier MEC networks were considered in [25,26,27], while heterogeneous MEC networks were considered in [28,29]. Mobile users with identical computation tasks were considered in [26] and [27], with a spatial model characterized by Poisson point processes (PPPs) and Poisson cluster processes (PCPs), respectively.…”

Network Slicing on 5G Vehicular Cloud Computing Systems

“…In particular, the E estimated m,u parameter represents the communication energy consumption. It is calculated using Equation ( 7) [29], where λ b is the cell density in the area of the user and, thus, λ b • π • R 2 represents the number of PoAs connected to a user moving in an area with radius R. It has to be noted that in our case λ b • π • R 2 is assumed to be equal to 1. Additionally, ζ(t n ) ∈ (0, 1] is a power amplifier parameter, P tr (t n ) is the transmission power of the PoA in Watts, P bs (t n ) is the fixed power at PoA in Watts, P osc (t n ) is the local oscillator power in Watts, M(t n ) is the number of used antennas, P b (t n ) is the Radio Frequency (RF) chain power [30] at the base station in Watts, C 0 (t n ) is the energy per complex operation in Joules, B(t n ) is the available bandwidth in MHz, r d (t n ) is the spectral efficiency of the downlink channel measured in bps/Hz, P cod (t n ) is the channel coding power measured in Watt Gbit/sec , P dec (t n ) is the channel decoding power measured in Watt Gbit/sec , and P d (t n ) is the RF chain power at user equipment measured in Watts.…”