User Allocation Algorithm with Rate Guarantees for Multi-Rate Mobile Networks with Backhaul Constraints

Abstract

Abstract-The optimization of the base station (BS)Thus, an assignment procedure which is based on radio assignment problem in mobile access networks is a primary task parameters may assign users to base stations with an towards enabling efficient utilization of network resources. So overloaded backhaul since its assignment criteria do not far, this problem has been mainly studied in terms of air consider the backhaul load of BSs. Under this context, in a interface optimization. In this paper, we present a novel BS previous work [6] we proposed an assignment method that assignment strategy that integrates backhaul constraints in the allocates users to BSs taking into account the availability of user assignment criterion. The motivation of this strategy is the resources in the air interface and the backhaul network.fact that in some scenarios the backhaul can become the network bottleneck. The BS assignment problem or user allocation Illustrative results, obtained assuming a single class of problem is formulated using a utility-based framework. We take mobiles with a fixed transmission rate constraint, indicate that into consideration key aspects such as the revenue associated to a backhaul-aware strategy lead to a higher number of feasible each type of service along with the resource consumption in user assignments. terms of both radio and backhaul resources. Results are given inIn this paper we extend the analysis reported in [6] by a multi-service scenario for guaranteed rate services.evaluating the proposed user allocation algorithm in more complex scenarios where data users have varied quality of I. INTRODUCTION service (QoS) requirements. We focus on multiservice mobile The growing popularity of data services in mobile networks networks able to guarantee different data rates to users and requires more advanced strategies to manage the scarcity of where bottlenecks can appear in both radio and backhaul radio resources efficiently. Enhanced methods to control segments. The problem consist in assigning users to base users' connectivity to the network play an important role in stations so that its rate requirement can be fully satisfied, the radio resource management (RRM) framework as they subject to radio and backhaul constraints of each BS. Users facilitate an efficient use of radio resources.that demand different rates are differentiated by means of a This paper addresses the base station (BS) assignment profit associated to the corresponding service class. An utility problem that is in charge of determining the serving BS to function is defined to quantitatively translate user/operator each user in the system. This problem has been addressed so benefits in terms of the amount of radio resources each user far mainly from the radio perspective. This is the case of [1]-requires and the profit that it will provide to the operator. [3] that deal with the combined problem of BS assignment andThe BS assignment problem is formulated as an resource allocation, where the primary idea is to determine the optimization ...

Joint interference and user association optimization in cellular wireless networks

“…These techniques can be supplemented with adaptive bias based on SINR [3] and iterative transmit power selection [18]. The cell-site selection problem is addressed as utility-based optimization problems with backhaul capacity constraints in [21], while [22] proposes a distributed algorithm based on an optimal load of base stations. Although our evaluation methodology is based on standard simulation models such as [23], stochastic analyses have been provided for these range expansion techniques in [24].…”