Cognitive radio is a promising paradigm to achieve efficient utilization of spectrum resource by allowing the unlicensed users (i.e., secondary users, SUs) access licensed spectrum. Market-driven trading an way dynamic accessing/sharing. In this paper, we consider problem with single primary owner (or user, PO) selling his idle multiple SUs. We model process as monopoly market, in which PO acts monopolist who sets qualities and prices for he sells, SUs act consumers choose appropriate...

Cognitive radio (CR) is a promising paradigm to achieve efficient utilization of the limited spectrum resource by allowing unlicensed users access licensed spectrum, and dynamic (DSA) one fundamental functions CR networks. Market-driven auction has been recognized as an effective way DSA. In auction, primary owners (POs) act auctioneers who are willing sell idle bands for additional revenue, secondary (SUs) bidders buy from POs their services. However, conventional designs restricted within...

This paper studies the massive MIMO full-duplex relaying (MM-FDR), where multiple source-destination pairs communicate simultaneously with help of a common relay equipped very large antenna arrays. Different from traditional MM-FDR protocol, general model sources/destinations are allowed to equip antennas is considered. In contrast conventional system, must be built low-cost components which prone hardware impairments. this paper, effect impairments taken into consideration, and modeled...

Nonorthogonal multiple access (NOMA) is one of the promising technologies to meet huge demand and high data-rate requirements next-generation networks. In this article, we investigate joint subchannel assignment power allocation problem in an uplink multiuser NOMA system maximize energy efficiency (EE). Different from conventional model-based resource methods, propose three deep-reinforcement-learning (DRL)-based frameworks solve nonconvex optimization problem, referred as discrete DRL-based...

The substantial growth in mobile Internet and of Things traffic has made system capacity enhancement the most important requirement for next-generation communication systems. Massive multiple-input, multiple-output (mMIMO) is a key technology fulfilling requirements because its strong potential to boost spectral efficiency (SE). However, uplink downlink mMIMO usually operate time-division duplex (TDD) or frequency-division (FDD), which results an insufficient utilization time-frequency resources.

Co-time co-frequency uplink and downlink (CCUD) transmission was considered challenging in the cellular system due to strong self-interference (SI) between transmitter receiver of base station (BS). In this paper, by investigating beam-domain representation channels based on basis expansion model, we propose a full-duplex (BDFD) massive multiple-input multiple-output (MIMO) scheme make CCUD possible. The key idea BDFD lies intelligently scheduling user equipment (UE) distributions their...

We consider how to efficiently employ D2D communications for secondary users (SUs) in a cognitive cellular network. In this network, primary (PUs) transmit via base station normally, while SUs can multiple transmission modes. One is (BS mode), and the other communication (D2D mode) due scarce idle spectrum. The who have potential each using mode form group. Within group, they BS or directly. Outside only available. To investigate into first we define utilities of employing respectively...

Providing physical-layer security for mobile users in future broadband wireless networks is of both theoretical and practical importance. In this paper, we formulate an analytical framework resource allocation a downlink OFDMA-based network with coexistence secure (SU) normal (NU). The SU's require data transmission at the physical layer while NU's are served conventional best-effort traffic. problem formulated as joint power subcarrier objective maximizing average aggregate information rate...

In this paper, we exploit a novel setting for Cognitive Radio (CR) networks to enable multiple operators involve secondary users (SUs) as cooperative relays their primary users. return, SUs get an opportunity access spare channels own data transmission. Initially, assume that the CR network supports payment transfer. Then, formulate system transferable utility coalitional game. We show there is operating point maximizes sum over all and while providing each player share such no subset of has...

Non-orthogonal multiple access (NOMA) is regarded as a promising technology to satisfy the huge demand and data rate requirements of next generation network. In this paper, we investigate joint subcarrier assignment power allocation problem in an uplink multi-user NOMA system maximize energy efficiency (EE) while ensuring quality-of-service (QoS) all users. Different from conventional resource methods, propose two-step deep reinforcement learning (DRL) based algorithm solve non-convex...

In this paper, we investigate the power allocation for maximizing weighted sum rate (WSR) in downlink multiple carriers non-orthogonal access (MC-NOMA) systems with imperfect successive interference cancellation (SIC). We formulate problem as a non-convex optimization total constraint of all sub-channels while considering often-neglected issues SIC error and order constraints at users. First, discuss that assuming receivers can perform perfect SIC, provide concavity condition WSR...

We study the throughput capacity of hybrid wireless networks with a directional antenna. The network consists n randomly distributed nodes equipped antenna, and m regularly placed base stations connected by optical links. investigate ad hoc mode when each node is antenna under an L-maximum-hop resource allocation. That is, source transmits to its destination only help normal within L hops. Otherwise, transmission will be carried out in infrastructure mode, i.e., stations. find that greatly...

In this paper, we propose two deep learning (DL) based receiver schemes in uplink multiple-input multiple-output (MIMO) systems. the first scheme, design a pilot-assisted MIMO using data-driven full connected neural network. This can recover transmitted signal directly an end-to-end manner without explicitly estimating channel. second adopt model-driven network which combines communication knowledge with DL. The scheme divides into channel estimation subnet and detection subnet, each is...

The Internet of Vehicles (IoV), a key component smart transportation systems, leverages 5G communication for low-latency data transmission, facilitating real-time interactions between vehicles, roadside units (RSUs), and sensor networks. However, the open nature channels exposes IoV systems to significant security threats, such as eavesdropping, replay attacks, message tampering. To address these challenges, this paper proposes Efficient Cluster-based Mutual Authentication Key Update...

This paper studies opportunistic spectrum sharing strategy (i.e., quantized precoding strategy) selection for cognitive multiple-input multiple-output multiple access channels with limited feedback under interference power constraint and maximum transmission stream number constraint. We put forward a game-theoretic framework to model the behaviors of secondary users specified constraints. First, we prove formulated discrete game is potential which possesses at least one feasible pure Nash...

Cell selection and resource allocation (CS-RA) are processes of determining cell radio which provide service to mobile station (MS). Optimizing these is an important step towards maximizing the utilization current future networks. In this paper, we investigate problem CS-RA in heterogeneous wireless Specifically, propose a distributed mechanism, performed by MSs independently. We formulate as two-tier game named inter-cell intra-cell game, respectively. first tier, i.e. select best according...

Vehicular Ad Hoc Networks (VANETs) with base stations are called hybrid VANET, where deployed to improve the throughput capacity. In this paper, we study multicast capacity for wireless VANET a directional antenna on each vehicle and end-to-end delay is constrained. there n mobile vehicles (or nodes) distributed in unit area m strategically connected using high-bandwidth wire links. There n_s sessions session has one source which transmits identical data its associated p destinations. We...

This paper investigates a multi-pair two-way massive MIMO amplify-and-forward full-duplex relay (FDR) system over Ricean fading channels, where multiple pairs of users exchange information within pair through with very large number antennas (M for transmission and M reception). First, the zero-forcing reception/zero-forcing maximum-ratio combining/maximum-ratio processing matrices imperfect channel state at are presented. Then, corresponding asymptotic expressions (in M) end-to-end...

We present a new physical layer network coding (PLNC) scheme, called superimposed XOR, for two-way relay channels. The scheme specifically takes into account the channel as well information asymmetry in broadcast phase of relaying. It is based upon both bitwise XOR and symbol-level superposition coding. first derive its achievable rate regions when integrated with two known time control protocols over Gaussian then demonstrate average maximum sum-rate service delay performance fading...

This paper proposes an amplify-and-forward-based massive multiple-input-multiple-output full-duplex relaying (AF-MM-FDR) protocol, where multiple source-destination pairs communicate simultaneously with a common relay. A zero-forcing (ZF)-based relay transceiver design semiblind gain control is presented, considering the problem of oscillation. The asymptotic expression end-to-end signal-to-interference-plus-noise power (SINR) derived under general scaling scheme. behaviors echo interference...

Recently, many dynamic spectrum allocation schemes based on economics are proposed to improve utilization in cognitive radio networks (CRNs). However, existing mechanisms do not take into account the economic efficiency and spatial reusability simultaneously, which leaves room further enhance efficiency. In this paper, we introduce coalition double auction for efficient CRNs, where secondary users (SUs) partitioned several coalitions can be executed within each coalition. The partition...

This paper investigates the 3-D massive multiple-input multiple-output (MIMO) for air-to-ground transmission, where an air platform (AP) is equipped with a 2-D rectangular antenna array and communicates number of user equipments (UEs) on ground. By exploiting slow timevarying parameters, such as channel correlation angles departure (AoDs) UEs, we first propose location-assisted two-layer precoding scheme downlink transmission. The first-layer aims to decompose original MIMO system into...

In this letter, we propose a pilot-assisted receiver scheme based on learnable successive interference cancellation (PA-LSIC) for uplink single-input multiple-output (SIMO) non-orthogonal multiple access (NOMA) systems. The PA-LSIC combines the (SIC) structure with model-driven deep learning network. Considering noise impact of channel estimation and incomplete detection in SIC process, introduce some new parameters, such as factor factor, which are optimized by using back-propagation...

Intelligent reflecting surface (IRS)-enhanced wireless communication is one of the critical technologies sixth generation mobile communication, which has recently emerged as an innovative solution to realization intelligent transportation. It can meet increasing demand for high-speed railway (HSR) communications services. In this paper, we consider a train-ground TDD paradigm deploy two IRSs on roadside and train roof assist transmission HSR system. To achieve more significant performance...