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With the continuous increase of mobile Internet traffic, the user-centric ultra-dense network (UUDN) is proposed as one of the promising solutions to provide very high area throughput density and flexible access service for users. The limited radio resources cause serious competition among numerous APs. Thus, Non-orthogonal multiple access (NOMA), which supports multiple signals transmission on the...
Non-orthogonal multiple access (NOMA) has attracted a lot of attention recently due to its superior spectral efficiency and could play a vital role in improving the capacity of future networks. This paper considers resource allocation for a downlink, multi-user (MU) MIMO-NOMA system that aims at maximizing the sum rate with interference alignment (IA) technique. Using singular decomposition value...
This paper addresses the radio resource allocation problem for full-duplex (FD) wireless systems in small multi-cell system, assuming FD base stations and half-duplex (HD) user equipments (UEs). Due to the self-interference and inter-user interference, the problem is coupled between uplink and downlink channels, and can be formulated as joint uplink and downlink sum-rate maximization. As the problem...
With the rapid growth of bandwidth-intensive applications, Carrier Aggregation (CA) has been introduced in Long Term Evolution-Advanced (LTE-A) Networks to provide higher data rates. In this paper, we investigate the joint resource block allocation and link adaptation problem with CA in LTE-A dwonlink. The problem is formulated as an Integer Programming problem aimed at maximizing the cell throughtput...
User association and resource allocation for downlink orthogonal frequency division multiplexing (OFDM) should be jointly optimized in small cells networks with limited backhaul in order to maximize the network utility. In general, the joint user association and per-band resource allocation problem is known as an integer NP-hard problem requiring exponential order of computational complexity to find...
The cloud radio access network (C-RAN), which is a novel technology in 5G wireless architecture, has been recently proposed. Resource allocation can utilize resources more efficiently, which generates a lot of researches in C-RAN architecture. In this paper, we deeply investigate the resource allocation in C-RAN with fronthaul capacity constraints, the concept of deploying cache on RRHs in the traditional...
In current LTE deployments, the unsupervised and unilateral installation of home or localized base stations, so called eNodeBs, may easily lead to excessive energy consumption and over-provisioning of network infrastructure. In this paper, we propose an energy efficient framework, which dynamically adjusts the power requirements of the system and performs Resource Block (RBs) allocation based on needs...
In this paper, we proposed a utility-based energy-efficient (UEE) resource allocation algorithm in downlink OFDMA heterogeneous networks (HetNets) with mixed traffic. The resource allocation problem is formulated as a mixed integer nonlinear programming (MINLP) problem first. Then an iterative algorithm is proposed to optimize the resource block (RB) scheduling and power allocation alternatively,...
In this paper, we consider the resource allocation problem in a Cognitive Radio (CR) downlink system employing both Orthogonal Frequency Division Multiple Access (OFDMA) and Multiple-Input Multiple-Output (MIMO) technologies. We aim at maximizing the total cognitive system throughput subject to the interference power constraint at the Primary Receiver (PR), the total transmission power constraint...
In this paper, we propose a joint power control and resource allocation approach for co-channel deployed femto- and macro-cell networks, denoted as Two-tier Cluster-based Resource and Power Allocation Scheme (TCRPA). The rational behind our proposal is to efficiently mitigate the significant interference faced by indoor users in downlink communications in order to satisfy the resource allocation requirements...
In this paper, we consider a downlink resource allocation in an Orthogonal Frequency Division Multiple Access (OFDMA) based heterogonous cellular network. In order to use spectrum efficiently, we propose Non-Exclusive Spectrum Allocation scheme (NESA). The considered objective function of the NESA scheme is to maximize the sum rate of macrocell and femtocells subject to maximum transmit power and...
With the exponential growth of small cells in the next generation of mobile networks, the Macrocell User Equipments (MUEs) located in the vicinity of the Femtocell Access Points (FAPs) suffer from high downlink interferences. The hybrid access mode of FAPs has shown promising features to mitigate these interferences but the FAPs prioritize the closed suscribers group (CSG) users over the public users...
Recent studies indicate the feasibility of in-band full-duplex (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...
In this paper, we propose a novel deferred acceptance based resource allocation algorithm (DARA) for allocating LTE cellular user resource to D2D devices. The quality of service (QoS) constrained downlink resource block (RB) allocation problem is first formulated as a computationally expensive mixed integer nonlinear programming (MINLP) problem. We also propose a polynomial-time matching algorithm...
The use of heterogeneous small cell-based networks to offload the traffic of existing cellular systems has recently attracted significant attention. One main challenge is solving the joint problems of user association, resource allocation, and interference mitigation. The goal of this paper is to design a self-organizing algorithm that can solve these problems, simultaneously. To this end, this joint...
Device-to-device (D2D) communications was proposed underlying cellular networks to increase system capacity to support high-data-rate multimedia services. However, D2D communications unavoidably bring along co-channel interference to conventional cellular users. In this paper, we propose interference-aware resource allocation (IARA) scheme for cellular networks with underlying D2D communications....
This paper considers the dynamic downlink spectrum resource allocation problem in dense small cell networks. To address the problem, we propose a distributed downlink resource allocation (DDRA) algorithm, which allows each base station to perform resource allocation for its users in a distributed manner. To support the DDRA algorithm, each base station needs to maintain a couple of interference tables,...
This paper proposes a clustering-based downlink resource allocation (CDRA) algorithm for allocating downlink spectrum resources in small cell networks. To improve the system capacity, the proposed CDRA algorithm introduces clustering before resource allocation, and proposes a new clustering method to divide all small cells in the system into a set of clusters. Based on three clustering principles,...
Device-to-Device communication (D2D) is a proximity based technique in Long Term Evolution-Advanced (LTE-A) systems. This technique can improve system throughput, but also may cause heavy intra-cell interference. In downlink transmission, the Base Station (BS) severely interferes with D2D pairs while D2D pairs reusing resources of cellular users. Therefore, D2D transmitters have to raise their power...
The installation of low power small cells under macro cells using the same spectrum is a promising approach to enhance the spectral efficiency and data-rate for the end users. These installations are becoming very dense in order to support the users' requirements (especially 5G networks) which make resource allocation using the same spectrum a very challenging problem. In this study, we address the...
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