Worst-Case Energy Efficiency Maximization in a 5G Massive MIMO-NOMA System
Explore this paper's citation graph
Summary
Comprehensive numerical results illustrate that the robust beamforming design to tackle the energy efficiency (EE) maximization problem in a 5G massive multiple-input multiple-output (MIMO)-non-orthogonal multiple access (NOMA) downlink system with imperfect channel state information (CSI) at the base station attains higher worst-case energy efficiency.
- Type
- article
- Published
- 2017-09-01
- Cited by
- 16
- References
- 53
- Access
- Open access
- OpenAlex
- https://openalex.org/W2756238521
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:3588819
Keywords
Mathematical optimization, Fractional programming, Computer science, Transmitter power output, Telecommunications link
References
- Energy Efficiency in Secure Multi-Antenna Systems
- Impact of User Pairing on 5G Non-Orthogonal Multiple Access
- Energy efficiency optimization for fading MIMO non-orthogonal multiple access systems
- A Quantitative Measure Of Fairness And Discrimination For Resource Allocation In Shared Computer Systems
- Interior-point polynomial algorithms in convex programming
- The Application of MIMO to Non-Orthogonal Multiple Access
- Decomposition by Successive Convex Approximation: A Unifying Approach for Linear Transceiver Design in Heterogeneous Networks
- Fundamentals of statistical signal processing: estimation theory
- Energy and Spectral Efficiency of Very Large Multiuser MIMO Systems
- Power allocation in OFDM based NOMA systems: A DC programming approach
- Minimum Power Multicast Beamforming With Superposition Coding for Multiresolution Broadcast and Application to NOMA Systems
- Semidefinite Relaxation of Quadratic Optimization Problems
- Non-orthogonal Multiple Access in a Downlink Multiuser Beamforming System
- What Will 5G Be?
- Toward green and soft: a 5G perspective
- A robust maximin approach for MIMO communications with imperfect channel state information based on convex optimization
- Optimal Design of Energy-Efficient Multi-User MIMO Systems: Is Massive MIMO the Answer?
- The Concave-Convex Procedure
- Efficient selection of user sets for downlink non-orthogonal multiple access
- Non-orthogonal multiple access with weighted sum-rate optimization for downlink broadcast channel
Cited by
- Simplified Antenna Group Determination of RS Overhead Reduced Massive MIMO for Wireless Sensor Networks
- Energy Efficient MIMO-NOMA HCN with IoT for Wireless Communication Systems
- Outage performance of time switching energy harvesting wireless sensor networks deploying NOMA
- Robust Transmit Beamforming for SWIPT-Enabled Cooperative NOMA With Channel Uncertainties
- Analysis of NOMA for Future Cellular Communication
- The Effect of User Pairing Strategies on the Downlink Throughput of NOMA
- Statistical Beamforming for Massive MIMO Systems with Distinct Spatial Correlations
- Joint user clustering and salp based particle swarm optimization algorithm for power allocation in MIMO-NOMA
- Equivalent MIMO Channel Matrix Sparsification for Enhancement of Sensor Capabilities
- Energy Efficient Hybrid Relay-IRS-Aided Wireless IoT Network for 6G Communications
- Energy efficient MIMO-NOMA aided IoT network in B5G communications
- Beamforming Techniques for MIMO-NOMA for 5G and Beyond 5G: Research Gaps and Future Directions
- MIMO-NOMA in Heterogeneous Network for 5G System
- Energy Efficiency Techniques in Non-orthogonal Multiple Access (NOMA) in 5G Network: An Overview and Outlook
- Guiding Blind Transmitters : Relay-aided Topological Interference Alignment for KUser Downlink MIMO Channel
- SYSTEMATIC ANALYSIS AND STRATEGIC REVIEW OF MIMO-NOMA SYSTEMS
Related papers
- Higher order mixed type duality in nonsmooth multiobjective fractional programming involving generalized univex function
- A distributed algorithm for network power minimization in multicarrier systems
- ε-Optimality and duality for multiobjective fractional programming
- On The Karush – Kuhn – Tucker Reformulation of Bi – Level Geometric Programming Problem with an Interval Coefficients as Multiple Parameters
- MSE-Based Power Saving Method for Relay Systems
- Optimization Methods for Box-Constrained Nonlinear Programming Problems Based on Linear Transformation and Lagrange Interpolating Polynomials