Joint Resource Optimization for Cognitive Sensor Networks with SWIPT-Enabled Relay

Cooperative communication with RF energy harvesting relays has emerged as a promising technique to improve the reliability, coverage, longevity and capacity of future IoT networks. An efficient relay assignment with proper power allocation and splitting is required to satisfy the network’s QoS requirements. This work considers the resource management problem in decode and forward relay based cooperative IoT network. A realistic mathematical model is proposed for joint user admission, relay assignment, power allocation and splitting ratio selection problem. The optimization problem is a mixed integer non-linear problem (MINLP) whose objective is to maximize the overall sum rate (bps) while satisfying the practical network constraints. Further, an outer approximation algorithm is adopted which provides epsilon-optimal solution to the problem with guaranteed convergence and reasonable complexity. Simulations of the proposed solution are carried out for various network scenarios. The simulation results demonstrate that cooperative communication with diversity achieves a better admission of IoT users and increases not only their individual data rates but also the overall sum rate of an IoT network.

Section: Literature Reviewmentioning

confidence: 99%

Resource Management in Energy Harvesting Cooperative IoT Network under QoS Constraints

Amjad

Ahmed

Naeem

et al. 2018

“…Simultaneous wireless information and power transfer (SWIPT) technology has the ability to realize simultaneous information decoding and energy harvesting by receiving radio-frequency signals [16,17,18,19,20,21,22]. Integrating SWIPT with cooperative relaying spectrum sharing enables the cognitive relay to harvest the energy by receiving the primary signal simultaneously with information decoding, which makes the cognitive relay volunteer to forward the primary signal [23,24,25,26,27,28,29]. Reference [23] analyzes the outage probability of primary and cognitive users for two-way cognitive system based on SWIPT relaying, where the cognitive user uses the decode and forward (DF) protocol to help the primary users achieve bidirectional communication.…”

Section: Introductionmentioning

confidence: 99%

“…Reference [25] studies the power allocation in NOMA relaying network, where the source uses a relay with the ability to harvest energy to forward for two users transmission. Reference [29] proposed cooperative spectrum sharing protocol in underlay cognitive relaying network, in which a SWIPT-enabled relay amplifies-and-forwards (AF) the information of the primary and cognitive users by using the harvested energy.…”

Section: Introductionmentioning

confidence: 99%

Subcarrier Allocation Based Cooperative Spectrum Sharing with Wireless Energy Harvesting in OFDM Relaying Networks

Huang

Hou

2019

Self Cite

In this paper, we propose subcarrier allocation based cooperative spectrum sharing protocol for OFDM relaying networks with wireless energy harvesting. In the proposed protocol, the cognitive relay node utilizes different subcarriers to forward the primary information to obtain the spectrum access for the cognitive system transmission. The primary system consists of two parts, a primary transmitter (PT) and primary receiver (PR), and cognitive system includes a cognitive source node (CSN), cognitive destination node (CDN) and cognitive relay node (CRN). In the first phase, CRN splits a fraction of the power received from the PT and CSN transmission to decode information, while the remaining power is used for energy harvesting. Then CRN uses disjoint subcarriers to forward the signals of PT and CSN by utilizing the harvested energy in the second phase. Three parameters which consist of power splitting ratio, power allocation and subcarriers allocation are optimized in our algorithm to maximize the cognitive transmission rate with the constraint of primary target transmission rate. Numerical and simulation results are shown to give useful insights into the proposed cooperative spectrum sharing protocol, and we also found that various system parameters have a great effect for the simulation results.

“…Unlike the conventional energy supply techniques, which collect energy from natural sources such as wind, solar and thermal, simultaneous wireless information and power transfer (SWIPT) enables sensor receivers to decode information and scavenge energy from the same radio frequency signal, even in a hostile environment [ 12 , 13 , 14 ]. Thus, some researchers have paid attention to the SWIPT technologies and applications in WSNs considering the convenience and cost-effectiveness [ 15 , 16 ]. In [ 15 ], the secrecy performance of the two-user SWIPT sensor networks was studied, and a novel secure transmission scheme of cooperative zero-forcing (ZF) jamming was proposed.…”

Section: Introductionmentioning

confidence: 99%

“…In [ 15 ], the secrecy performance of the two-user SWIPT sensor networks was studied, and a novel secure transmission scheme of cooperative zero-forcing (ZF) jamming was proposed. Joint resource optimization was investigated in an underlay cognitive sensor network (CSN) with an SWIPT-enabled amplify-and-forward (AF) relay node using the power splitting-based relaying (PSR) protocol in [ 16 ]. Two practical receiver architectures for multiple-input multiple-output (MIMO) broadcasting SWIPT, time switching (TS) and power splitting (PS), were discussed in [ 17 ], where a PS receiver structure splits the received signal into two different power streams, one for energy harvesting (EH) and the other for information decoding (ID).…”

Section: Introductionmentioning

confidence: 99%

Beamforming Design for Full-Duplex SWIPT with Co-Channel Interference in Wireless Sensor Systems

Liu

Yang

Wen

et al. 2018

The simultaneous wireless information and power transfer (SWIPT) technique has been regarded as an appealing approach to prolong the lifetime of wireless sensor networks. However, co-channel interferences with SWIPT in wireless networks have not been investigated from a green communication perspective. In this paper, joint transmit and receive beamforming design for a full-duplex multiple-input multiple-output amplify-and-forward relay system with simultaneous wireless information and power transfer in WSNs is investigated. Multiple co-channel interferers are considered at the relay and destination sensor nodes. To minimize the mean-squared-error of the system, joint source and relay beamforming optimization is proposed while guaranteeing the transmit power constraints and destination’s energy harvesting constraint. An iterative algorithm based on alternating optimization with successive convex approximation which converges to a local optimum is proposed to solve the non-convex problem. Moreover, a low-complexity scheme is derived to reduce the computational complexity. Simulations for MSE versus iterations and MSE versus signal-to-noise ratio (SNR) demonstrate the convergence and good performance of the proposed schemes.