A Game Theoretical Network-Assisted User-Centric Design for Resource Allocation in 5G Heterogeneous Networks

Abstract

For the past few years, 5G heterogeneous networks (HetNets) have gain phenomenal attention in the wireless industry. In this paper, we propose a hierarchical game theoretical framework for the optimal resource allocation on the uplink of a heterogeneous network with femtocells overlaid on the edge of a macrocell. In the first game, the femtocell access points (FAPs) play a non-cooperative game to choose their access policy between open and closed in order to maximize the rate of their home subscribers. The second game of the algorithm allows macrocell user equipments (MUEs) to decide their connectivity between the FAPs and the macrocell base station (MBS) with the goal of maximizing their rates and the overall network performance; thereby, distributing intelligence and control to the users. The FAPs and the MUEs are the players of two different games that strategically decide their policies in an ordered fashion. Simulation results show that this hierarchical game approach with network-assisted user-centric design offers a significant improvement in terms of the performance of HetNets relative to an closed and only network-centric access policy schemes.

A Power Control Mean Field Game Framework for Battery Lifetime Enhancement of Coexisting Machine-Type Communications

“…Resource management can be implemented efficiently by modeling a given network scenario as a game, with the players being the users in contention for different resources. A hierarchal game model for optimal resource allocation in a heterogeneous network was proposed [19]. Two non-cooperative sub-games were played sequentially in an attempt to overcome the problems of interference management and user rate maximization, respectively.…”

Joint resource allocation for dual — Band heterogeneous wireless network

“…It should be noted that the SINR expression in (4), and hence, the rate in (7) is dependent on the choice of transmission frequency. By summing (7) over the SUEs, we obtain…”

“…There has been considerable interest on the development of algorithms for radio resource allocation (RRA) in HetNets within the last few years (see e.g., [1]- [7] and the references therein). There has been several solutions proposed based on the optimization of varying system objectives.…”

Throughput and energy efficiency of two-tier cellular networks: Massive MIMO overlay for small cells

“…Heterogeneous cellular network, consisting of small cells (SCs) overlaid with massive MIMO, are promising solutions to satisfy the rising demand for ubiquitous mobile users. HetNet deployments are promising solution that increases network capacity, expands coverage and improves spectrum and energy efficiency at low deployment cost [6].…”

“…The number of users are generated randomly through PPP and each user is allocated a unique channel. If the number of users exceed number of channels in any tier, the users with maximum capacity get selected according to (6) and (7) C * m = arg max…”