This article considers the problem of multitarget detection for massive multiple input output cognitive radar (CR). The concept CR is based on perception-action cycle that senses and intelligently adapts to dynamic environment in order optimally satisfy a specific mission. However, this usually requires priori knowledge environmental model, which not available most cases. We propose reinforcement learning (RL) algorithm presence unknown disturbance statistics. acts as an agent continuously...

Cloud-radio access networks (C-RAN) help in overcoming the scarcity of radio resources by enabling dense deployment base-stations (BSs) and connecting them to a central-processor (CP). This paper considers downlink C-RAN, where cloud is connected BSs via limited-capacity backhaul links. We propose optimize C-RAN transmission scheme that combines rate splitting, common message decoding, beamforming vectors design clustering. To this end, optimizes splitting (RS), decoding (CMD), clustering...

Despite the growing interest in interplay of machine learning and optimization, existing contributions remain scattered across research board, a comprehensive overview on such reciprocity still lacks at this stage. In context, paper visits one particular direction between learning-driven solutions further explicates subject matter with clear background summarized theory. For instance, its offsprings are trending because their enhanced capabilities automating analytical modeling. realm,...

Cloud radio access networks (C-RAN) enable a network platform for beyond the fifth generation of communication (B5G), which incorporates advances in cloud computing technologies to modern networks. Recently, rate splitting multiple (RSMA), relying on multi-antenna (RS) at transmitter and successive interference cancellation (SIC) receivers, has been shown manage efficiently. This paper considers applying RSMA C-RAN. We address practical challenge that only knows statistical channel state...

The potential of intelligent reflecting surfaces (IRSs) is investigated as a promising technique for enhancing the energy efficiency wireless networks. Specifically, IRS enables passive beamsteering by employing many low-cost individually controllable reflect elements. resulting change channel state, however, not only increases signal quality but also interference at users. To counteract this negative side effect, we employ rate splitting (RS), which inherently able to mitigate impact...

The future sixth generation (6G) of communication systems is envisioned to provide numerous applications in safety-critical contexts, e.g., driverless traffic, modular industry, and smart cities, which require outstanding performance, high reliability fault tolerance, as well autonomy. Ensuring criticality awareness for diverse functional safety providing tolerance an autonomous manner are essential 6G systems. Therefore, this paper proposes jointly employing the concepts resilience mixed...

This paper proposes, and evaluates the benefits of, a hybrid central cloud (CC) mobile edge computing (MEC) platform, especially introduced to balance network resources for joint communication computation. The transmission is further empowered by splitting users' messages into private common parts, mitigate interference within CC MEC platforms. While several power-hungry, computationally-limited unmanned aerial vehicles (UAVs) are deployed at cell-edge boost connectivity relieve part of its...

The flexibility and mobility of unmanned aerial vehicles (UAVs) make them a viable candidate in improving connectivity coverage cloud-radio access networks (CRANs). To investigate this aspect facilitate efficient interference mitigation, paper studies C-RAN the downlink, where base stations (BSs) are assisted by UAVs scenarios subset BSs break down. apply concept rate-splitting (RS) which divides messages into common private part. Under strategy, we formulate weighted sum-rate maximization...

Energy efficiency (EE) has become vital in assessing the performance of modern communication network. With a tremendous increase data traffic it is important to keep energy consumption manageable. This paper studies EE maximization problem C-RAN which adopts rate splitting (RS). The cloud connected set base stations (BSs) via limited capacity fronthaul links. To this end, considers optimization power control BSs subject common constraints and per-BS transmit constraints. non-convex difficult...

The concept of intelligent reflecting surfaces (IRSs) is considered as a promising technology for increasing the efficiency mobile wireless networks. This achieved by employing vast amount low-cost individually adjustable passive reflect elements, that are able to apply changes reflected signal. To this end, IRS makes environment real-time controllable and can be adjusted significantly increase received signal quality at users beamsteering. However, signals have an effect on all near IRS,...

Rate-splitting multiple access (RSMA), recognized as a promising technique for future communication systems to generalize and outperform existing techniques, has been shown enhance the spectral energy efficiencies of multi-user multi-antenna broadcast channels (BCs). In this work, motivated by benefits RSMA discovered in BCs, we investigate performance cloud radio networks (C-RANs). Specifically, beamforming vectors, message splits, stream-to-base stations (BSs) allocation are jointly...

In light of the premises beyond fifth generation (B5G) networks, need for better exploiting capabilities cloud-enabled networks arises, so as to cope with large-scale interference resulting from massive increase data-hungry systems. A compound several clouds, jointly managing inter-cloud and intra-cloud interference, constitutes a practical solution account requirements B5G networks. This paper considers multi-cloud radio access network model (MC-RAN), where each cloud is connected distinct...

Cloud-radio access networks (C-RAN) help overcoming the scarcity of radio resources by enabling dense deployment base-stations (BSs), and connecting them to a central-processor (CP). This paper considers downlink C-RAN, evaluates rate-splitting (RS) common-message decoding techniques, as means enable large-scale interference management. To this end, proposes splitting message each user at CP into private part decodable one user, common subset users for sole purpose mitigation. The then...

Cloud radio access networks (C-RAN) are a promising technology to enable the ambitious vision of fifth-generation (5G) communication networks. In spite potential benefits C-RAN, operational costs still challenging issue, mainly due centralized processing scheme and large number operating remote head (RRH) connecting cloud. this work we consider setup in which C-RAN is powered partially with set renewable energy sources (RESs), our aim minimize processing/backhauling at cloud center as well...

In this paper, we study the benefits of rate-splitting (RS) in multiple-input multiple-output (MIMO) cloud radio access networks (C-RAN). For setting, propose a stream-based transmission scheme which user's messages are divided into private and common part, each is encoded multiple streams. Under strategy, formulate weighted sum-rate maximization problem subject to backhaul capacity transmit power constraints. We determine beamforming vectors streams non-convex optimization via proposed...

Minimizing the power consumption in mobile communication networks while guaranteeing quality of service (QoS) requirements is essential light unprecedented increase number connected devices and associated data traffic. Conventional cloud-radio access (C-RAN) assume treating interference as noise (TIN) dealing with provisioning wireless interference. This paper considers a C-RAN system, where central processor (CP) at cloud to several base-stations (BSs) via limited capacity fronthaul links....

Rate-splitting multiple access (RSMA) has been recognized as a promising physical layer strategy for 6G. Motivated by the ever-increasing popularity of cache-enabled content delivery in wireless communications, this paper proposes an innovative multigroup multicast transmission scheme based on RSMA cache-aided cloud-radio networks (C-RAN). Our proposed not only exploits properties content-centric communications and local caching at base stations (BSs) but also incorporates to better manage...

Future sixth generation (6G) wireless communication networks face the need to similarly meet unprecedented quality of service (QoS) demands while also providing a larger energy efficiency (EE) minimize their carbon footprint. Moreover, due diverseness network participants, mixed criticality QoS levels are assigned users such networks. In this work, with focus on cloud-radio access (C-RAN), fulfillment desired and minimized transmit power use is optimized jointly within rate-splitting...

In this paper, we are concerned with indoor localization based on multiple-antenna channel measurements. Indoor is an active area of research due to its great importance in many applications. We propose a hybrid algorithm which combines the benefits two techniques, namely signal processing and machine learning. validate our real measurements acquired from practical setups. Our approach shows very promising performance IEEE CTW 2019 - Positioning Algorithm Competition where achieves accuracy...

Integrated access and backhaul (IAB) networks operating in full-duplex (FD) mode at millimeter wave frequencies have been actively investigated the context of future-generation communications networks. However, conventional analog cancellation techniques cannot adequately mitigate self-interference resulting from FD operation multi-user interference. Hence, this paper, we consider a multi-cell, IAB network jointly design beamforming combining matrices to maximize network's weighted sum rate....

An emerging trend of next generation communication systems is to provide network edges with additional capabilities such as storage resources in the form caches reduce file delivery latency. To investigate this aspect, we study fundamental limits a cache-aided wireless consisting one central base station, M transceivers and K receivers from latency-centric perspective. We use normalized time (NDT) capture per-bit latency for worst-case request pattern at high signal-to-noise ratios (SNR),...

Cloud radio access networks (C-RAN) are expected to be the backbone of next generation communication networks. In order reduce backhaul cost, which is a bottleneck in C-RAN, popular files cached local memories at remote heads (RRH's) and thus close proximity users demanding it. this paper we investigate different caching strategies with objective transmit power cost. It turns out that problem jointly minimizing costs constitutes mixed integer non linear program (MINLP). First, introduce...

We jointly design an information-theoretic transmit and receive radar beamformers for spatially near multiple extended targets. maximize the mutual information (MI) between received signals targets signatures that allows extraction of unknown features, which may include shape, dimensions, material. However, high interference caused by might obstruct extraction, directing toward steering vector as done in conventional does not solve this problem, especially In letter, iterative algorithm is...

An emerging trend of next generation communication systems is to deploy caches at network edges reduce file delivery latency. To investigate this aspect, we study the fundamental limits a cache-aided broadcast-relay wireless consisting one central base station, $M$ cache-equipped transceivers and $K$ receivers from latency-centric perspective. We use normalized time (NDT) capture per-bit latency high signal-to-noise ratio (SNR). The objective jointly design cache placement in order minimize...

Conventional cloud-radio access networks assume the existence of a single processor, responsible for managing plurality devices. To cope with current drastic increase in number data-hungry systems, several clouds would be practically needed, and so joint provisioning inter-cloud intra-cloud interference becomes fundamental challenge. This paper considers multi-cloud radio network model (MC-RAN) where each cloud is connected to distinct set base stations (BSs) via limited capacity fronthaul...