Resource allocation in OFDMA networks with half-duplex and imperfect full-duplex users

Abstract

Abstract-Recent studies indicate the feasibility of in-band fullduplex (FD) wireless communications, where a wireless radio transmits and receives simultaneously in the same band. Due to its potential to increase the capacity, analyzing the performance of a cellular network that contains full-duplex devices is crucial. In this paper, we consider maximizing the weighted sum-rate of downlink and uplink of a single cell OFDMA network which consists of an imperfect FD base-station (BS) and a mixture of half-duplex and imperfect full-duplex mobile users. To this end, the joint problem of sub-channel assignment and power allocation is investigated and a two-step solution is proposed. A heuristic algorithm to allocate each sub-channel to a pair of downlink and uplink users with polynomial complexity is presented. The power allocation problem is convexified based on the difference of two concave functions approach, for which an iterative solution is obtained. Simulation results demonstrate that when all the users and the BS are perfect FD nodes the network throughput could be doubled, Otherwise, the performance improvement is limited by the inter-node interference and the self-interference. We also investigate the effect of the self-interference cancellation capability and the percentage of FD users on the network performance in both indoor and outdoor scenarios.

Multi-Objective Energy Efficient Resource Allocation and User Association for In-Band Full Duplex Small-Cells

“…In [6], an iterative algorithm for joint subchannel and power allocation was proposed, which deals with the power allocation after obtaining subchannel allocation through variable relaxation. To avoid the time-complexity of the iterative algorithms, authors of [7] employed decomposition method and dealt with power control after obtaining subchannel allocation policy by using a heuristic approach. Similarly, in [8] and [9], system throughput maximization was investigated for two-tier heterogeneous networks.…”

Max-Min Fairness User Scheduling and Power Allocation in Full-Duplex OFDMA Systems

“…, T, are randomly generated for problem (18) in each time interval T . As the problem involves two sets of variables (X, α) and {(p d (ξ t ), p u (ξ t )), ∀ ξ t }, we jointly optimize the variables by adopting the AO method [23], [24] to handle problem (18). Specifically, we handle the joint problem (18) by solving two subproblems iteratively: one is to optimize the objective with respect to (X, α) with fixed {(p d (ξ t ), p u (ξ t )), ∀ ξ t }, and the other one is to optimize the objective with respect to {(p d (ξ t ), p u (ξ t )), ∀ ξ t } with fixed (X, α).…”

Resource optimization and power allocation in in-band full duplex-enabled non-orthogonal multiple access networks

“…Network scenario Implementation FD scheduling Power allocation Queue dynamics [11] single-cell local HD/FD mode selection × × [12] single-cell local FD user pairing and channel allocation √ × [13] single-cell local OFDMA channel allocation √ × [18] multi-cell local suboptimal HD/FD user selection √ × [19] multi-cell (subcarrier is reused once) .., p DL bU ] be the DL power vector of SBS b. Therefore, a joint optimization problem of user association, mode selection and power allocation to maximize a continuous utility function of time-averaged UL and DL service rates, is cast as follows:…”

“…by constant values that are independent of t, replacing this term by the upper bound constant C yields equation (13).…”

“…An auction-based algorithm to pair UL and DL users in a single-cell IBFD network is proposed in [12]. User scheduling and power allocation algorithms are presented for IBFD networks in [13] and for DL NOMA networks in [14], [15], [16]. In the proposed approach of [14], a many-to-many matching algorithm is used to assign channel to users in a single cell scenario.…”