Joint distributed cell association and interference management in OFDMA‐based heterogeneous networks

Abstract

Considering the ever‐growing demand for network traffic, increasing the capacity of cellular networks has always been a necessity. Heterogeneous cellular networks using small‐scale base stations in addition to macro base stations (BSs) are a low cost and effective solution to this problem. The diversity of the BSs in heterogeneous networks, however, has raised new issues in terms of cell association and interference management compared with the traditional single‐tier networks. Devising novel and effective methods for cell association and resource allocation in these networks is currently an open and developing problem. This paper addresses cell and subband association in the downlink of orthogonal frequency‐division multiple‐access heterogeneous networks. Unlike the existing works in this field, our scheme maximizes network utility while preventing harmful interference for all connections in the network. Using the protocol interference model, necessary and sufficient constraints for preventing interference in cellular networks are presented. By choosing the appropriate interference constraint, the joint problem of cell and subband association is formulated as an integer optimization problem. After simplifying the optimization problem, an equivalent linear problem is obtained. Using one‐level dual decomposition, an iterative algorithm with a near‐optimal solution has been devised. A distributed protocol is then presented, in which each user and each BS requires only its own local data to determine its connection for service. The simulation results demonstrate the algorithm behavior and confirm the efficiency and near‐optimality of the proposed solution.

Capacity driven small cell deployment in heterogeneous cellular networks: Outage probability and rate coverage analysis

“…Theorem 1. Per-tier outage probability of a typical user from Φ u i where u ∈ {PCP}, given that the user associates with ith tier BS, is given in Equation (18).…”

“…HCNets are analyzed for coverage and rate under urban and suburban scenario in Reference . Interference mitigation in orthogonal frequency multiple access based HCNets is studied in Reference . Furthermore, the nonuniform users model in HCNet is investigated in Reference , where the users are deployed according to the conditional thinning property of HPPP.…”

Joint downlink user association and interference avoidance with a load balancing approach in backhaul-constrained HetNets

“…If R i represents the user i achievable data rate, the utility function in this paper, as in [ 59 ], is defined as U i ( R i ) = log(1 + R i ). This function has all the features expected from the logarithm function.…”

Achievable secrecy rate analysis of OFDM‐based multi‐user untrusted relay networks with imperfect CSI

“…Likewise, following similar procedures, F B (𝛾) in (A2) can be obtained as follows can be obtained as in (31). Also, following similar procedures as in (A3), the CDF of (3) can be obtained as in (32). Similarly, the CDF expressions of 𝛾 .…”

“…Numerical results highlight that the optimal solution of the converted problem has a very small performance gap over the optimal objective value of the original problem. Also, the work in Reference 32 studies an OFDMA‐based heterogeneous network, addressing cell and subband downlink association to maximize the network utility without incurring excessive interference in the network. The selection of appropriate interference constraint leads the joint problem of cell and sub‐band association to be formulated as an integer optimization problem.…”