Spectral-Energy Efficiency Tradeoff in Relay-Aided Massive MIMO Cellular Networks With Pilot Contamination

Chen, Jing; Chen, Hongbin; Zhang, Han; Zhao, Feng

doi:10.1109/access.2016.2595258

Cited by 40 publications

(41 citation statements)

References 23 publications

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“…where and¯ represent the step size of iteration which meet a similar condition as (36), andG is the corresponding Lagrangian function for problem (59)-(62) which is given by (65) in the next page, with the gradient as…”

Section: Pzf-based Resource Allocation Schemementioning

confidence: 99%

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Energy Efficiency Optimization for CoMP-SWIPT Heterogeneous Networks

Tang

Shojaeifard

et al. 2018

IEEE Trans. Commun.

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Abstract-In this paper, a fundamental study of energy efficiency (EE) optimization for coordinated multi-point (CoMP)-simultaneous wireless information and power transfer (SWIPT) heterogeneous networks (HetNets) is provided. We aim to optimize the EE whilst satisfying certain quality-of-service (QoS) requirements in regard to transmission rate and energy harvesting at both the macro-cell and small-cells. The corresponding joint beamforming and power allocation in the presence of intra-and inter-cell interference constitutes a EE maximization problem that is non-convex, and hence very challenging to solve. In order to solve this problem, we propose to separate the beamforming design and power allocation processes. First, we adopt linear zero-forcing (ZF) beamforming to suppress the multi-user interference from both the energy harvesting users (EH-UEs) as well as the information decoding users (ID-UEs), thus transforming the HetNet under consideration to a virtual point-to-point system. An efficient power allocation algorithm is then developed to maximize the corresponding EE. On the other hand, the ZF strategy does not utilize the notion that interference benefits the EH-UEs. As a result, we propose a partial zeroforcing (PZF) approach by differentiating the EH-UEs and IDUEs in order to further improve the EE. Our findings show that the EE can be significantly improved through the integration of CoMP-SWIPT in HetNets.Index Terms-Coordinated multi-point (CoMP), energy efficiency (EE), heterogeneous networks (HetNets), simultaneous wireless information and power transfer (SWIPT).

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Section: Pzf-based Resource Allocation Schemementioning

confidence: 99%

“…It should be noted that the minus sign in (8) indicates that the receivers are capable of harvesting energy that is radiated in the RF from the transmitter. In addition, the circuit power consumption P C in our CoMP-SWIPT HetNet can be modelled as [36],…”

Section: A System Modelmentioning

confidence: 99%

Energy Efficiency Optimization for CoMP-SWIPT Heterogeneous Networks

Tang

Shojaeifard

et al. 2018

IEEE Trans. Commun.

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“…In accordance with U( ), we can obtain corresponding power allocation P( ). If P( ) satisfies constraints (27) and (28), the solution U( ) and P( ) are global optimal solution. otherwise, iterative algorithm would continue to refine the solution.…”

Section: Optimizing the Dual Functionmentioning

confidence: 99%

“…Recently, energy efficient (EE) resource allocation for MIMO cooperative communication has become attractive, such as [22][23][24][25][26][27]. Reference [22] considers the energy efficient joint source-relay power allocation problem for MIMO AF relaying system.…”

Section: Related Workmentioning

confidence: 99%

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Linear Processing Design of Amplify-and-Forward Relays for Maximizing the System Throughput

Wang

Chen

Lan

2018

Journal of Electrical and Computer Engineering

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In this paper, firstly, we study the linear processing of amplify-and-forward (AF) relays for the multiple relays multiple users scenario. We regard all relays as one special "relay", and then the subcarrier pairing, relay selection and channel assignment can be seen as a linear processing of the special "relay". Under fixed power allocation, the linear processing of AF relays can be regarded as a permutation matrix. Employing the partitioned matrix, we propose an optimal linear processing design for AF relays to find the optimal permutation matrix based on the sorting of the received SNR over the subcarriers from BS to relays and from relays to users, respectively. Then, we prove the optimality of the proposed linear processing scheme. Through the proposed linear processing scheme, we can obtain the optimal subcarrier paring, relay selection and channel assignment under given power allocation in polynomial time. Finally, we propose an iterative algorithm based on the proposed linear processing scheme and Lagrange dual domain method to jointly optimize the joint optimization problem involving the subcarrier paring, relay selection, channel assignment and power allocation. Simulation results illustrate that the proposed algorithm can achieve a perfect performance.

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An energy efficiency perceptive on MIMO‐OFDM systems using hybrid fruit fly‐based salp swarm optimization technique

Kumar

Rao

2022

Concurrency and Computation

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This paper is to plan for the development of energy‐efficient MIMO‐OFDM mobile multimedia communication systems using the intelligent meta‐heuristic approach. This model is concentrated on solving the multi‐channel optimization problem. Recent research work is focused on single‐channel optimization problems, and hence the conversion of multi‐channel optimization problems into single‐channel optimization problems is considered the challenging point in this research. In the proposed MIMO‐OFDM method for mobile multimedia communication systems, the channel‐matrix Singular Value Decomposition (SVD) method is used for implementing the sub‐channel grouping scheme, which has simplified the multichannel problem to a multi‐target single‐channel optimization problem. In this optimization problem, the transmission power‐allocation threshold is optimized for attaining the objective function of maximization of energy efficiency. A hybridized optimization algorithm named Hybrid Fruit Fly‐based Salp Swarm Optimization (HFF‐SSO) is utilized for energy optimization in the MIMO‐OFDM mobile multimedia communication system. This hybrid algorithm has reached an energy‐efficient system with a high convergence rate, which is proved by the comparison over the conventional systems.

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Spectral-Energy Efficiency Tradeoff in Relay-Aided Massive MIMO Cellular Networks With Pilot Contamination

Cited by 40 publications

References 23 publications

Energy Efficiency Optimization for CoMP-SWIPT Heterogeneous Networks

Energy Efficiency Optimization for CoMP-SWIPT Heterogeneous Networks

Linear Processing Design of Amplify-and-Forward Relays for Maximizing the System Throughput

An energy efficiency perceptive on MIMO‐OFDM systems using hybrid fruit fly‐based salp swarm optimization technique

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