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The Internet of things (IoT) will entail massive number of wireless connections with sporadic traffic patterns. To support the IoT traffic, several technologies are evolving to support low power wide area (LPWA) wireless communications. However, LPWA networks rely on variations of uncoordinated spectrum access, either for data transmissions or scheduling requests, thus imposing a scalability problem...
The performance of distributed wireless communication systems is dictated by the system boundaries and the interference regimes. In this paper, we present a novel coverage and connectivity analysis of a wireless system within confined domains. Specifically, a system where the receiver connects to the nearest transmitter is analyzed. Using tools from stochastic geometry, we derive general expressions...
Multi-hop communication is a spectral-efficient approach for connecting multiple pairs when direct links are absent or have insufficient strength. In this paper, we highlight the benefits of improper Gaussian signaling for a multi-pair full-duplex MIMO relay network in terms of power efficiency. By employing improper Gaussian transmission, the power minimization problem under rate constraints is intrinsically...
LTE-Unlicensed (LTE-U) is considered as a groundbreaking technology to address the increasing scarcity of available spectrum by extending cellular communications to unlicensed band. In this paper, we investigate the performance of D2D communications in conjunction with LTE-U, which can alleviate traffic load of cellular networks. However, in the same unlicensed band, the coexistence of D2D and WiFi...
We present a distributed algorithm for joint power control, routing and scheduling in multihop wireless networks. The algorithm also provides for Quality of Service (QoS) guarantees, namely, end-to-end mean delay guarantees and hard deadline guarantees, for different users. It is easily implementable and works by giving local dynamic priority to flows requiring QoS, the priority being a function of...
We investigate the energy efficiency (EE) maximization problem under the scenario of Device-to-Device (D2D) communications underlaying cellular networks. By jointly considering time-varying channels and stochastic arrivals, we propose a distributed power allocation algorithm for both D2D user groups (DUGs) and cellular user terminals (CUTs) with long- term quality of service (QoS) provision. To effectively...
In this paper, we model and analyze the resource management problem of energy harvesting-based underlaying device-to-device (D2D) communication in uplink cellular networks (CNs). D2D transmitter can harvest energy from ambient inter- ference and reuse the spectrum of the cellular users (CUs) to com- municate with corresponding receiver. The energy of transmitters comes form the mix of the harvested...
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 deployment of small-cell access points(SCAs) is widely acknowledged as a promising network densification way to satisfy the future capacity needs of 5G wireless cellular network. In this paper, we study the power allocation problem in heterogeneous downlink network while satisfying QoS constraints and power constraints simultaneously. The scheme is formulated as maximizing the system energy efficiency...
The introduction of device-to-device (D2D) into cellular networks poses many new challenges in the resource allocation design due to the co-channel interference caused by spectrum reuse and limited battery life of user equipments (UEs). In this paper, we propose a distributed interference-aware energy-efficient resource allocation algorithm to maximize each UE's energy efficiency (EE) subject to its...
Sharing the spectrum with in-band full-duplex (FD) primary users (PU) is a challenging and interesting problem in the underlay cognitive radio (CR) systems. The self-interference introduced at the primary network may dramatically impede the secondary user (SU) opportunity to access the spectrum. In this work, we attempt to tackle this problem through the use of the so- called improper Gaussian signaling...
Mode selection issue is studied for Device-to-Device (D2D) communication underlaying the two-tier cellular networks (including macro cells and small cells) to guarantee the Quality of Service (QoS) requirement not only for the cellular link but also for the D2D link. Firstly the link performances are investigated for UE under D2D transmission mode and cellular transmission mode, respectively. In addition,...
During a disaster, communication systems are partially (or completely) interrupted with very limited resources due to infrastructures destruction and hence the lack of essential services. Meanwhile, the demand for communication reaches its highest peak ever since users need to contact loved ones and make sure they are safe, inform first responders and local governments about surrounding conditions,...
Despite the numerous benefits brought by device-to-device (D2D) communications, user equipments (UEs) are typically handheld devices with limited battery life and can quickly run out of battery if power consumption is ignored in the system design. Compared to previous works that have not taken power consumption into consideration, we model the utility function as a weighted sum of achievable transmission...
In this paper, we aim to optimize the secrecy rate of the cellular user (CU) in a single cell where the Device-to-Device (D2D) communication shares the uplink resource with CU. The interference link from CU to the D2D receiver can be considered as the eavesdropping link in the sense that the D2D receiver may try to decode the cellular user's message. The proposed scheme aims to optimize the achievable...
The Long Term Evolution-Advanced (LTE-A) networks are being developed to provide mobile broadband services for the fourth generation (4G) cellular wireless systems. Device to-Device (D2D) communications is a promising technique to provide wireless peer-to-peer communication services and enhance resource utilization, as well as spectrum efficiency. In this paper, a centralized resource allocation scheme...
In this paper we propose an optimal resource management scheme for device-to-device (D2D) communications utilising uplink resources in a Single Carrier Frequency Division Multiple Access (SC-FDMA) system, which is the uplink access scheme in the 3GPP-Long Term Evolution (LTE) standard. We consider an arbitrary number of conventional cellular (CC) User Equipments (UEs) and D2D UEs, both utilising the...
Device-to-device (D2D) communication has recently been considered as an efficient way to offload the cellular traffic by allowing user equipments (UEs) to have direct communication via the licensed spectrum. In this paper, we study the fundamental constraints of maximally allowed density and communication distance of D2D devices. The locations of D2D devices are modeled by a Poisson point process...
This paper proposes an adaptive radio resource management (RRM) algorithm based on self-organizing network (SON) and distance vector routing protocol (DVRP) strategy for power consumption reduction and quality of service (QoS) improvement in long term evolution (LTE) network. Using SON principle, the base stations downlink transmissions can be effectively organized to maximise interference avoidance...
Traditionally, the frequency spectrum is licensed to users who have the exclusive right to access the allocated band. However, an unlicensed (cognitive) user may share a frequency band with a licensed (primary) owner as long as the interference is below a certain threshold. This makes capacity analysis a critical important issue in these networks. Lots of research on cognitive radio (CR) networking...
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