One promising approach to address the supply- demand mismatch between terrestrial infrastructure and temporary and/or unexpected traffic demands is leverage UAV technologies. Motivated by recent advancement of technologies retromodulator-based free space optical communication, we propose a novel edge-computing-empowered radio access network architecture where fronthaul backhaul links are mounted on UAVs for rapid event response flexible deployment. The implementation hardware networking...

Distributed machine learning (ML) algorithms are imperative for the next-generation Internet of Things (IoT) networks, thanks to preserving privacy users' data and efficient usage communication resources. Federated (FL) is a promising distributed ML algorithm where models trained at edge devices over local sets, only model parameters shared with cloud server (CS) generate global parameters. Nevertheless, due limited battery life devices, improving energy-efficiency prime concern FL. In this...

We investigate a variable-rate, constant-power adaptive subcarrier intensity modulation employing M-ary phase shift keying and rectangular quadrature amplitude for optical wireless communication over the Gamma-Gamma turbulence channels. The schemes offer efficient utilization of channel capacity by adapting order according to received signal-to-noise ratio pre-defined target bit-error rate requirement. Novel closed-form series solutions are presented achievable spectral efficiency, average...

Resource optimization is investigated for an unmanned aerial vehicle (UAV)-mounted relay assisted Internet-of-Things (U-IoT) network. A comprehensive network structure proposed by incorporating laser-driven adaptive wireless-power-transfer at the UAV relay, wirelessly powered backscatter communication in radio-frequency access links, and modulating retro-reflector based free space optical backhaul link framework. Our objective to maximize number of connected IoT devices with uplink data...

Underwater optical wireless communication (UOWC) systems encounter significant challenges from oceanic turbulence and pointing errors. This study investigates the performance of rate-splitting multiple access (RSMA)-enabled multi-user UOWC operating over an exponential-generalized gamma-distributed channel with An accurate analytical expression for sum ergodic capacity is derived, a particle swarm optimization-based alternative-search algorithm developed to jointly optimize both transmit...

We investigate adaptive transmission schemes over a hybrid radio frequency (RF)/free space optical (FSO) backhaul network for connecting macro-cell base station with small-cell through multiple parallel buffer-aided relay nodes. The proposed improve delay-throughput trade-off of by exploiting the degrees-of-freedom both RF and FSO links capturing quality-of-service (QoS) requirements. study two different system configurations, namely, single-carrier multi-carrier RF/FSO systems. Our goal is...

This paper investigates the significance of designing a reliable, intelligent, and true physical environment-aware precoding scheme by leveraging an accurately designed channel twin model to obtain realistic state information (CSI) for cellular communication systems. Specifically, we propose fine-tuned multi-step design process that can render CSI very close actual environment. After generating precise CSI, execute using obtained at transmitter end. We demonstrate two-step parameters' tuning...

Resource allocation is investigated to enhance the performance of device-to-device (D2D) cooperation in a fog radio access network (F-RAN) architecture. Our envisioned framework enables two D2D links share certain orthogonal resource blocks (RRBs) by forming device-clusters. In each device-cluster, both content-holder device-users (DUs) transmit content-requester DUs via an enhanced remote head (eRRH) over same RRBs. Such RRBs are shared with uplink F-RAN as well. The intra device-cluster...

We propose a statistical delay quality-of-service (QoS) aware joint power allocation and relaying link selection scheme for uplink of multichannel coherent free space optical communication-based fronthaul network. The proposed assigns suitable relays aggregation nodes to the remote radio heads allocates transmit among orthogonal channels. Specifically, maximizes total end-to-end effective capacity network subject certain budgets at both relay nodes. are formulated as mixed integer non-linear...

In this paper, we leverage reinforcement learning (RL) and cross-layer network coding (CLNC) for efficiently pre-fetching requested contents to the local caches delivering these requesting users in a downlink fog-radio access (F-RAN) with device-to-device (D2D) communications. considered system, fog points (F-APs) cache-enabled D2D (CE-D2D) are equipped that alleviate traffic burden at fronthaul facilitate rapid delivery of users' contents. To end, CLNC scheme optimizes decisions,...

Ergodic capacity is investigated for the optical wireless communications employing subcarrier intensity modulation with direct detection, and coherent systems without polarization multiplexing over Gamma-Gamma turbulence channels. We consider three different adaptive transmission schemes: (i) variable-power, variable-rate transmission, (ii) complete channel inversion fixed rate, (iii) truncated rate. For considered systems, highly accurate series expressions ergodic are derived using a...

Statistical-delay quality of service (QoS) provides bounded link-layer delay over wireless fading channels with a certain delay-bound violation probability. We propose statistical-delay-QoS-aware adaptive modulation (AM) and power allocation for dual-channel coherent optical communication system the atmospheric turbulence channels. For given statistical-delay constraints target bit-error-rate requirements, our proposed AM maximize effective spectral efficiency subject to transmit-power...

We investigate resource optimization for the downlink cloud small cell network, where baseband unit pool communicates with buffer-aided remote radio heads (SRRHs) through free space optical fronthaul, and SRRHs transmit to user equipments (UEs) by using time division multiplexing-based millimeter wave access links. Our objective is maximize supportable aggregate data arrival rate in network exploiting inter-dependence of fronthaul Toward this objective, we consider maximum acceptable...

Multi-objective resource allocation is studied for edge-caching enabled fog-radio access network. Notably, joint maximization of the energy-efficiency (EE) and spectrum-efficiency (SE) interference management are investigated distributing contents from cache-enabled fog points (F-APs) cloud base station (CBS) to user devices (UDs). In our envisioned system, UDs grouped into multiple non-overlapping device-clusters based on their locations. A rate-splitting with common message decoding...

Rate-splitting multiple access (RSMA) and reinforcement-learning (RL) based user clustering are leveraged to manage interference of a downlink fog radio network. In particular, the devices (UDs) is considered. The UDs given cluster can receive data from certain point (F-AP) over same resource blocks (RRBs) simultaneously. To this end, RSMA enabled transmission exploited at each UD cluster. intra-cluster inter-cluster network, we focus on allocation maximize sum-rate minimize total power...

It is anticipated that aerial-terrestrial integrated networks incorporating unmanned aerial vehicles (UAVs) mounted relays will offer improved coverage and connectivity in the beyond 5G era. Meanwhile, federated learning (FL) a promising distributed machine technique for building inference models over wireless due to its ability maintain user privacy reduce communication overhead. However, off-the-shelf FL aggregate global parameters at central parameter server (CPS), increasing energy...

Effective capacity is defined as the maximum constant traffic arrival rate that a communication channel can support in order to guarantee certain statistical delay constraint. We investigate effective performance of optical wireless communications employing coherent detection and polarization multiplexing over Gamma–Gamma turbulence fading channels with pointing errors. consider two different power adaptation techniques, namely, independent joint adaptation. Closed-form expressions are...

Statistical delay quality-of-service (QoS) aware adaptive resource allocation scheme is proposed for a multi-carrier coherent free space optical (FSO) communications based fronthaul network. The assigns remote radio heads (RRHs) to the suitable aggregation nodes (ANs) and allocates transmit power orthogonal carriers. Specifically, provides delay-QoS at link layer by maximizing effective sum capacity of all RRHs subject budgets constraint wired links connecting ANs with baseband unit (BBU)...

In order to improve the delay quality-of-service aware throughput performance of optical wireless communications, a joint power allocation and relay selection scheme is proposed for assisted multichannel coherent communication system. The provides guarantee by maximizing end-to-end effective capacity under average transmit constraints at both source as well nodes. problem formulated non-convex combinatorial optimization problem, solution this obtained using time-sharing relaxation technique....