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Joint transmission (JT), an attractive coordinated multipoint (CoMP) downlink transmission technique, is used to increase cell-edge user throughput, but has to distribute the same user data to multiple base stations termed a JT cluster, thus leading to a huge burden on backhaul bandwidth. Therefore, recent studies considered caching user data at the base stations to reduce the backhaul bandwidth consumption...
To facilitate content delivery to mobile users, we propose a content caching and distribution framework for the heterogeneous OFDM networks, where a library of files available at the macro base station (MBS) can be distributively cached in multiple serving nodes (SNs). SNs are capable of both receiving unstored files from MBS and transmitting files to the associated users. For a given group of file...
Performance anomaly is a well-known problem in 802.11 networks. It refers to the case where the aggregated throughput of the multirate network is degraded by slow rate links due to the fair sharing of transmission opportunities. As a result of growing heterogeneity in 802.11 hardware, the coexistence of slow rate and fast rate links are more common and performance anomaly is considered severer. In...
Broadband wireless communication is of critical importance during public safety scenarios as it facilitates situational awareness capabilities for first responders and victims. In this paper, the use of LTE-Unlicensed (LTE-U) technology for unmanned aerial base stations (UABSs) is investigated as an effective approach to enhance the achievable broadband throughput during emergency situations...
In this paper, the achievable rate of buffer-aided diamond relay systems under delay constraints is studied. The effective capacity, characterizing the maximum constant arrival rate to the source while satisfying the end-to-end delay constraints, is obtained for fixed decode-and-forward (DF) relaying schemes and selective relaying protocols. A selection relaying policy that maximizes the delay exponent...
Software Defined Networking has been adopted to improve data center network efficiency. In SDN, the controllers are responsible for exchanging information with the switches to perform specific operations such as data forwarding. The transmission of control traffic usually uses networks different from data networks. However, building an additional wired network for the control traffic leads to high...
This paper studies a wireless network consisting of multiple transmitter-receiver pairs sharing the same spectrum where interference is regarded as noise. Previously, the throughput region of such a network was characterized for either one time slot or an infinite time horizon. This work aims to close the gap by investigating the throughput region for transmissions over a finite time horizon. We derive...
The femtocell network has currently been considered as one of the most promising networking technologies. Nevertheless, due to dense deployment, interference generated by nearby femto base station (FBS) is expected to significantly degrade the signal to interference plus noise ratio (SINR) of femto users (FUEs). Ineffective resource block combination is one of the culprits behind the reduction in...
In this work, we consider the problem of distributed link scheduling for D2D communications without a centralized controller. Our design goal is to maximize a chosen global objective function. For example, maximizing the long-term proportional fair throughput amongst distributed links can be such a goal. In principle, each link evaluates whether its rate increase by raising its transmit power is sufficient...
We develop a novel opportunistic beamforming scheme referred to as doubly opportunistic beamforming (DOBF), which is doubly selective in both users and beams. The sum-rate performance of the proposed scheme is investigated in less-known finite networks where the number of transmit antennas and the number of active users are finite and of the same order of magnitude in the bursty traffic model. We...
In this paper, we study drone small cells (DSCs) network modeled by 3D Poisson point process. We further study an underlay spectrum sharing between the 3D DSCs network and traditional cellular networks modeled by 2D Poisson Point Processes. We derive the explicit expressions for the downlink DSCs coverage probability and achievable throughput.We obtain the optimal density of DSCs aerial base stations...
In cognitive radio (CR), the spectrum sensing of the primary user (PU) may consume some electrical power from the battery capacity of the secondary user (SU), yielding to decrease the transmission power of the SU. In this paper, a multislot simultaneous spectrum sensing and energy harvesting model is proposed, which uses the harvested radio frequency (RF) energy of the PU signal to supply the spectrum...
Wireless communication systems use adaptive modulation and coding (AMC) as well as hybrid ARQ (HARQ) to mitigate the effects of time-varying and error-prone channels. In this work, we analyze the benefits of combining HARQ and AMC adopting the throughput as a unique performance measure. The analysis of block-fading channels and error-prone decoders allows us to conclude that i) adding HARQ on top...
Spectrum aggregation provides a promising approach to improve the network capacity for Cognitive Radio Ad-Hoc Networks (CRAHNs). Resource allocation for spectrum aggregation-based CRAHNs has become one of the main issues. In this paper, we propose a cross-layer optimization for CRAHNs with the spectrum aggregation. The main objective of our paper is to maximize the network throughput under the network...
In this work, we propose and optimize a new coding strategy designed to enhance the throughput of hybrid ARQ (HARQ) transmissions over i.i.d. block-fading channels where the channel state information (CSI) is unknown at the transmitter. Unlike in the conventional approach, where many blocks are exclusively assigned to carry the HARQ rounds of a single packet, we use a joint coding and the same channel...
Today's indoor wireless networks employ reactive resource allocation methods to provide fair and efficient usage of the communication system. However, their reactive nature limits the quality of service (QoS) that can be offered to the user locations within the environment. In large crowded areas (airports, conferences), networks can get congested and users may suffer from poor QoS. To mitigate this,...
Network densification has always been an important factor to cope with the ever increasing capacity demand. Deploying more base stations (BSs) improves the spatial frequency utilization, which increases the network capacity. However, such improvement comes at the expense of shrinking the BSs' footprints, which increases the handover (HO) rate and may diminish the foreseen capacity gains. In this paper,...
High throughput wireless access networks based on IEEE 802.11ac show a significant challenge in dynamically selecting the link configuration parameters based on channel conditions due to large pool of design set, like number of spatial streams, channel bonding, guard intervals, frame aggregation and different modulation and coding schemes. In this paper, we develop a learning based approach for link...
The demand of next generation mobile networks for high connectivity for multiple devices with tenfold data rate requires the deployment of multiple base stations of different range and capacity and their optimal management. Femtocells will play a major role in these heterogeneous networks, being a low-cost and effective solution. In this paper we propose a mechanism on management of femtocells' resources,...
In this paper, two novel algorithms that reduce the computational complexity of throughput based transmit antenna selection in underlay cognitive radio (CR) multiple input multiple output (MIMO) systems, are proposed. The major contributor to computational complexity in throughput maximization is the inversion of a complex matrix. In the first, Approximate Throughput (AT), we develop an approximate...
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