Analysis and design of an efficient handoff management strategy via velocity estimation in HetNets

Abstract

In this paper, we present an efficient handoff decision strategy and a mobility state detection (MSD) scheme for heterogeneous networks (HetNets). Due to base station (BS) densification, HetNets occasionally face unnecessary handovers and service failures. Since velocity plays a crucial role in handover process, its knowledge is imperative for effective mobility management. Furthermore, due to limited power in mobile devices, emphasis is in investigation of velocity estimators that are at service provider end. Thus, we propose two maximum likelihood-based velocity estimators exploiting handover count and sojourn time measurements, respectively. Our analysis illustrates that both the estimators are asymptotically unbiased and efficient. In addition, we also notice that variance of sojourn time-based estimator is smaller than that of handover count-based estimator. Considering superiority of sojourn time-based estimator, we propose a handover decision strategy to minimize unnecessary handovers. Here, we first predict the sojourn time of upcoming BSs on the basis of velocity estimated via sojourn time samples. Next, BSs whose predicted sojourn time are greater than a prespecified threshold are then considered to identify the next serving BS. Finally, we select next serving BS on the basis of minimum cost for satisfying quality-of-service parameters such as bandwidth, security, monetary cost, and available power at user device. This work also exploits estimated velocity to investigate MSD specified in LTE standards. The numerical and simulation results validate our approach by illustrating accuracy in velocity estimation, reduction in frequent handovers and service failures, and improvement in MSD.

Handoff optimization for joint base station association and power control in uplink non‐orthogonal multiple access small cell networks

“…), can be calculated by (27) for the new feasible partition  (t) new . The minimum total coalition value V tot,min…”

“…Apart from the performance and resource allocation investigation, numerous studies have been conducted in addressing the handoff problem in SCNs. [24][25][26][27][28][29][30] A frequent handoff mitigation algorithm was developed in the work of Hasan et al 24 for an ultra-dense HetNet by classifying frequent handoff-experience users as either being fast-moving or ping-pong users. The proposed algorithm handed over fast-moving users to the macro layer, and managed ping-pong users through the modification of handoff parameters.…”

“…Arshad et al 26 proposed a velocity‐aware handoff management scheme for two‐tier downlink cellular networks to reduce the high handover rate. In the work of Tiwari et al 27 a mobility state detection (MSD) for HetNets combined with an efficient strategy for handoff decision reduced unnecessary handovers and service failures. The algorithm determined user handoffs by estimating the load status of the overloaded cells and target cells.…”

Handover Parameters Optimisation Techniques in 5G Networks

“…Various studies have suggested several algorithms for solving and addressing HO problems. The authors in [ 49 ] described the strategy of HO decision and the estimation scheme of the mobility state to avoid service failure and unnecessary HOs (UHOs) in HetNets. The suggested model uses the HOs number, as well as the measurements of residence time, to appreciate the speed of UEs.…”

Velocity-Aware Handover Self-Optimization Management for Next Generation Networks

“…This method did not fully optimize the HO performance since the gap between these updating values is very big and only three fixed values are selected in accordance with UE velocity. Similarly, Tiwari and Deshmukh [10] have presented an HO decision strategy and an MSE scheme to avoid unnecessary HOs (UHOs) and service failures in HetNets. The proposed model utilizes the number of HOs and sojourn time measurements to estimate the UE velocity.…”