Driven by the visions of Internet Things and 5G communications, recent years have seen a paradigm shift in mobile computing, from centralized cloud computing toward edge (MEC). The main feature MEC is to push network control storage edges (e.g., base stations access points) so as enable computation-intensive latency-critical applications at resource-limited devices. promises dramatic reduction latency energy consumption, tackling key challenges for materializing vision. promised gains...

Intelligent reflecting surface (IRS) is an enabling technology to engineer the radio signal propagation in wireless networks. By smartly tuning reflection via a large number of low-cost passive elements, IRS capable dynamically altering channels enhance communication performance. It thus expected that new IRS-aided hybrid network comprising both active and components will be highly promising achieve sustainable capacity growth cost-effectively future. Despite its great potential, faces...

Mobile-edge computation offloading (MECO) off-loads intensive mobile to clouds located at the edges of cellular networks. Thereby, MECO is envisioned as a promising technique for prolonging battery lives and enhancing capacities mobiles. In this paper, we study resource allocation multiuser system based on time-division multiple access (TDMA) orthogonal frequency-division (OFDMA). First, TDMA with infinite or finite cloud capacity, optimal formulated convex optimization problem minimizing...

The recent revival of AI is revolutionizing almost every branch science and technology. Given the ubiquitous smart mobile gadgets IoT devices, it expected that a majority intelligent applications will be deployed at edge wireless networks. This trend has generated strong interest in realizing an "intelligent edge" to support AI-enabled various devices. Accordingly, new research area, called learning, emerged, which crosses revolutionizes two disciplines: communication machine learning. A...

Achieving long battery lives or even self sustainability has been a standing challenge for designing mobile devices. This paper presents novel solution that seamlessly integrates two technologies, cloud computing and microwave power transfer (MPT), to enable computation in passive low-complexity devices such as sensors wearable Specifically, considering single-user system, base station (BS) either transfers offloads from the cloud; uses harvested energy compute given data locally by...

Prior studies on intelligent reflecting surface (IRS) have mostly assumed perfect channel state information (CSI) available for designing the IRS passive beamforming as well continuously adjustable phase shift at each of its elements, which, however, simplified two challenging issues implementing in practice, namely, estimation and designs both under constraint discrete shifts. To address them, we consider this paper an IRS-aided single-user communication system design training reflection...

Dispatching unmanned aerial vehicles (UAVs) to harvest sensing-data from distributed sensors is expected significantly improve the data collection efficiency in conventional wireless sensor networks (WSNs). In this paper, we consider a UAV-enabled WSN, where flying UAV employed collect multiple nodes (SNs). Our objective maximize minimum average rate all SNs subject prescribed reliability constraint for each SN by jointly optimizing communication scheduling and three-dimensional (3D)...

Intelligent reflecting surface (IRS) has emerged as a key enabling technology to realize smart and reconfigurable radio environment for wireless communications, by digitally controlling the signal reflection via large number of passive elements in real time. Different from conventional communication techniques that only adapt but have no or limited control over dynamic channels, IRS provides new cost-effective means combat channel impairments proactive manner. However, despite its great...

In this letter, we consider an intelligent reflecting surface (IRS)-aided wireless communication system, where <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">active</i> or xmlns:xlink="http://www.w3.org/1999/xlink">passive</i> IRS is employed to assist the between access point and a user. First, downlink/uplink separately optimize placement for rate maximization with active passive IRS. We show that given same number of elements, should be...

This paper considers an unmanned aerial vehicle (UAV)-enabled wireless sensor network (WSN) in urban areas, where a UAV is deployed to collect data from distributed nodes (SNs) within given duration. To characterize the occasional building blockage between and SNs, we construct probabilistic line-of-sight (LoS) channel model for Manhattan-type city by using combined simulation regression method, which shown form of generalized logistic function UAV-SN elevation angle. We assume that only...

In this letter, we consider an intelligent reflecting surface (IRS)-assisted multiuser communication system, where IRS is deployed to provide virtual line-of-sight (LoS) links between access point (AP) and multiple users. We the practical codebook-based passive beamforming study efficient design for reflect beam training, which challenging due large number of elements. contrast conventional single-beam propose a new multi-beam training method by dividing elements into sub-arrays designing...

Intelligent reflecting surface (IRS) has emerged as a promising technology to reconfigure the radio propagation environment by dynamically controlling wireless signal's amplitude and/or phase via large number of elements. In contrast vast literature on studying IRS's performance gains in communications, we study this paper new application IRS for sensing/localizing targets networks. Specifically, propose <italic xmlns:mml="http://www.w3.org/1998/Math/MathML"...

To achieve the more significant passive beamforming gain in double-intelligent reflecting surface (IRS) aided system over conventional single-IRS counterpart, channel state information (CSI) is indispensable practice but also challenging to acquire, due presence of not only single- double-reflection links that are intricately coupled and entail coefficients for estimation. In this paper, we propose a new efficient estimation scheme double-IRS multi-user multiple-input multiple-output (MIMO)...

Intelligent reflecting surface (IRS) has emerged as a promising technique for wireless communication networks. By dynamically tuning the reflection amplitudes/phase shifts of large number passive elements, IRS enables flexible channel control and configuration thereby enhances signal transmission rate reliability significantly. Despite vast literature on designing optimizing assorted IRS-aided systems, prior works have mainly focused enhancing links with single only by one or multiple IRSs,...

Extremely large-scale multiple-input multiple-output (XL-MIMO) is a promising technology for the sixth-generation (6G) mobile communication networks. By significantly boosting antenna number or size to at least an order of magnitude beyond current massive MIMO systems, XL-MIMO expected unprecedentedly enhance spectral efficiency and spatial resolution wireless communication. The evolution from not simply increase in array size, but faces new design challenges, terms near-field channel...

In this letter, we study efficient channel estimation and passive beamforming designs for a double-intelligent reflecting surface (IRS) aided single-user communication system, where user communicates with an access point (AP) via the cascaded user-IRS 1-IRS 2-AP double-reflection link. First, general scheme is proposed system under any arbitrary inter-IRS channel, all coefficients of are estimated. Next, typical scenario line-of-sight (LoS)-dominant propose another customized to estimate two...

In this paper, we consider an intelligent reflecting surface (IRS)-aided single-user system where IRS with discrete phase shifts is deployed to assist the uplink communication. A practical transmission protocol proposed execute channel estimation and passive beamforming successively. To minimize mean square error (MSE) of estimation, first formulate optimization problem for designing reflection pattern in training under constraints unit-modulus, phase, full rank. This problem, however,...

Elastic optical networks (EONs) enable network operators to have agile bandwidth management in the layer. In this paper, we investigate dynamic and adaptive defragmentation (DF) EONs with time-varying traffic using connection reconfigurations. We consider how design DF procedure a systematic way, study problems that not been fully explored so far. Basically, divide into four subproblems: “How reconfigure?,” “ How migrate traffic?,” “When “What solve them sequentially. For combination of...

Mobile-edge computation offloading (MECO) is an emerging technology for enhancing mobiles' capabilities and prolonging their battery lifetime by intensive from mobiles to nearby servers, such as base stations. In this paper, we study the energy-efficient resource-management policy asynchronous MECO system, where have heterogeneous input-data arrival time instants deadlines. First, consider general case with arbitrary arrival-deadline orders. Based on monomial energy-consumption model data...

To achieve the full passive beamforming gains of intelligent reflecting surface (IRS), accurate channel state information (CSI) is indispensable but practically challenging to acquire, due excessive amount parameters be estimated which increases with number IRS elements as well that IRS-served users. tackle this challenge, we propose in paper two efficient estimation schemes for different setups an IRS-assisted multi-user broadband communication system employing orthogonal frequency division...

Scavenging the idling computation resources at enormous number of mobile devices, ranging from small IoT devices to powerful laptop computers, can provide a platform for local cloud computing. The vision be realized by peer-to-peer cooperative computing between edge referred as co-computing. This paper exploits non-causal helper's CPU-state information design energy-efficient co-computing policies scavenging time-varying spare peer mobiles. Specifically, we consider system where user...

Intelligent reflecting surface (IRS) and unmanned aerial vehicle (UAV) have emerged as two promising technologies to boost the performance of wireless communication networks by proactively altering channels via smart signal reflection maneuver control, respectively. However, they face different limitations in practice, which restrain their future applications. In this article, we propose new methods jointly apply IRS UAV integrated air-ground exploiting complementary advantages....

Mobile-edge computation offloading (MECO) offloads intensive mobile to clouds located at the edges of cellular networks. Thereby, MECO is envisioned as a promising technique for prolonging battery lives and enhancing capacities mobiles. In this paper, we consider resource allocation in system comprising multiple users that time share single edge cloud have different loads. The optimal formulated convex optimization problem minimizing weighted sum energy consumption under constraint on...

In this letter, we consider an intelligent reflecting surface (IRS)-aided mobile edge computing (MEC) system, where IRS is deployed to assist computation offloading from two users access point connected with cloud. For the IRS-aided data transmission, in contrast conventional non-orthogonal multiple-access (NOMA) and time-division (TDMA), propose a new flexible time-sharing NOMA scheme that allows flexibly divide their into parts transmitted via TDMA, respectively, thus encapsulating both...