5 research outputs found
A Normalization Model for Analyzing Multi-Tier Millimeter Wave Cellular Networks
Based on the distinguishing features of multi-tier millimeter wave (mmWave)
networks such as different transmit powers, different directivity gains from
directional beamforming alignment and path loss laws for line-of-sight (LOS)
and non-line-of-sight (NLOS) links, we introduce a normalization model to
simplify the analysis of multi-tier mmWave cellular networks. The highlight of
the model is that we convert a multi-tier mmWave cellular network into a
single-tier mmWave network, where all the base stations (BSs) have the same
normalized transmit power 1 and the densities of BSs scaled by LOS or NLOS
scaling factors respectively follow piecewise constant function which has
multiple demarcation points. On this basis, expressions for computing the
coverage probability are obtained in general case with beamforming alignment
errors and the special case with perfect beamforming alignment in the
communication. According to corresponding numerical exploration, we conclude
that the normalization model for multi-tier mmWave cellular networks fully
meets requirements of network performance analysis, and it is simpler and
clearer than the untransformed model. Besides, an unexpected but sensible
finding is that there is an optimal beam width that maximizes coverage
probability in the case with beamforming alignment errors.Comment: 7 pages, 4 figure
Integrated mmWave Access and Backhaul in 5G: Bandwidth Partitioning and Downlink Analysis
With the increasing network densification, it has become exceedingly
difficult to provide traditional fiber backhaul access to each cell site, which
is especially true for small cell base stations (SBSs). The increasing maturity
of millimeter wave (mmWave) communication has opened up the possibility of
providing high-speed wireless backhaul to such cell sites. Since mmWave is also
suitable for access links, the third generation partnership project (3GPP) is
envisioning an integrated access and backhaul (IAB) architecture for the fifth
generation (5G) cellular networks in which the same infrastructure and spectral
resources will be used for both access and backhaul. In this paper, we develop
an analytical framework for IAB-enabled cellular network using which we provide
an accurate characterization of its downlink rate coverage probability. Using
this, we study the performance of two backhaul bandwidth (BW) partition
strategies, (i) equal partition: when all SBSs obtain equal share of the
backhaul BW, and (ii) load-based partition: when the backhaul BW share of an
SBS is proportional to its load. Our analysis shows that depending on the
choice of the partition strategy, there exists an optimal split of access and
backhaul BW for which the rate coverage is maximized. Further, there exists a
critical volume of cell-load (total number of users) beyond which the gains
provided by the IAB-enabled network disappear and its performance converges to
that of the traditional macro-only network with no SBSs
Adaptive Multi-state Millimeter Wave Cell Selection Scheme for 5G communication
Millimeter wave bands have been introduced as one of the most promising solutions to alleviate the spectrum secrecy in the upcoming future cellular technology (5G) due the enormous amount of raw bandwidth available in these bands. However, the inherent propagation characteristics of mmWave frequencies could impose new challenges i.e. higher path loss, atmospheric absorption, and rain attenuation which in turn increase the outage probability and hence, degrading the overall system performance. Therefore, in this paper, a novel flexible scheme is proposed namely Adaptive Multi-State MmWave Cell Selection (AMSMC-S) through adopting three classes of mmWave base stations, able to operate at various mmWave carrier frequencies (73, 38 and 28 GHz). Two mmWave cellular Grid-Based cell deployment scenarios have been implemented with two inter-site-distances 200 m and 300 m, corresponding to target area of (2.1 km2) and (2.2 km2). The maximum SINR value at the user equipment (UE) is taken in to consideration to enrich the mobile user experience. Numerical results show an improvement of overall system performance, where the outage probability reduced significantly to zero while maintaining an acceptable performance of the 5G systems with approximately more than 50% of the mobile stations with more than 1Gbps data rate.