TY - GEN
T1 - On Load-Aware Cell Association Schemes for Group User Mobility in mmWave Networks
AU - Zhukov, Fedor
AU - Galinina, Olga
AU - Sopin, Eduard
AU - Andreev, Sergey
AU - Samouylov, Konstantin
N1 - jufoid=72315
PY - 2019/10/1
Y1 - 2019/10/1
N2 - While faster signal attenuation in millimeter wave (mmWave) networks is compensated by high antenna directivity, the effects of dynamic blockages can be mitigated by using connections to multiple access points (APs), and the choice of a proper cell association algorithm plays an essential role in optimizing the overall system performance. Despite numerous research efforts aimed at finding optimal cell associations, effects of user mobility have not been explicitly addressed. Particularly, mobility patterns are imperative in the case of mmWave directional access, as they impact the overall system performance and, thus, might affect the choice of optimal solutions.In this paper, we address correlated mobility typical for collective extended reality (XR) applications, using the example of reference point group mobility models (RPGM), where users migrate in groups or clusters. Assuming 3D beamforming and protocol settings of mmWave IEEE 802.11ad/ay that operates at 60GHz, we compare the performance of two cell association schemes: baseline RSSI-based and load-aware algorithms, and provide important insights on optimization of load-aware scheme parameters, the choice of which is a dynamic function of antenna directivity and network density.
AB - While faster signal attenuation in millimeter wave (mmWave) networks is compensated by high antenna directivity, the effects of dynamic blockages can be mitigated by using connections to multiple access points (APs), and the choice of a proper cell association algorithm plays an essential role in optimizing the overall system performance. Despite numerous research efforts aimed at finding optimal cell associations, effects of user mobility have not been explicitly addressed. Particularly, mobility patterns are imperative in the case of mmWave directional access, as they impact the overall system performance and, thus, might affect the choice of optimal solutions.In this paper, we address correlated mobility typical for collective extended reality (XR) applications, using the example of reference point group mobility models (RPGM), where users migrate in groups or clusters. Assuming 3D beamforming and protocol settings of mmWave IEEE 802.11ad/ay that operates at 60GHz, we compare the performance of two cell association schemes: baseline RSSI-based and load-aware algorithms, and provide important insights on optimization of load-aware scheme parameters, the choice of which is a dynamic function of antenna directivity and network density.
KW - 60GHz
KW - 802.11ad/ay
KW - cell association
KW - group mobility
KW - load-aware algorithm
KW - Millimeter wave
KW - RSSI-based algorithm
U2 - 10.1109/ICUMT48472.2019.8970824
DO - 10.1109/ICUMT48472.2019.8970824
M3 - Conference contribution
AN - SCOPUS:85079103255
T3 - International Congress on Ultra Modern Telecommunications and Control Systems and Workshops
BT - 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2019
PB - IEEE
T2 - International Congress on Ultra Modern Telecommunications and Control Systems and Workshops
Y2 - 28 October 2019 through 30 October 2019
ER -