Energy Efficiency Optimization with Simultaneous Wireless Information and Power Transfer in MIMO Broadcast Channels
Jie Tang, Daniel K. C. So, Arman Shojaeifard, Kai-Kit Wong

TL;DR
This paper develops a novel optimization framework for energy efficiency in SWIPT MIMO broadcast channels, transforming a complex non-convex problem into a more tractable form and proposing duality-based algorithms that significantly improve EE performance.
Contribution
It introduces a dual-layer resource allocation method using BC-MAC duality for EE optimization in SWIPT MIMO-BC with time-switching receivers, addressing non-convexity challenges.
Findings
Proposed algorithms effectively improve energy efficiency.
Significant performance gains demonstrated through numerical results.
Extended BC-MAC duality approach enhances resource allocation.
Abstract
Simultaneous wireless information and power transfer (SWIPT) is anticipated to have great applications in fifth-generation (5G) and beyond communication systems. In this paper, we address the energy efficiency (EE) optimization problem for SWIPT multiple-input multiple-output broadcast channel (MIMO-BC) with time-switching (TS) receiver design. Our aim is to maximize the EE of the system whilst satisfying certain constraints in terms of maximum transmit power and minimum harvested energy per user. The coupling of the optimization variables, namely, transmit covariance matrices and TS ratios, leads to a EE problem which is non-convex, and hence very difficult to solve directly. Hence, we transform the original maximization problem with multiple constraints into a min-max problem with a single constraint and multiple auxiliary variables. We propose a dual inner/outer layer resource…
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Taxonomy
TopicsEnergy Harvesting in Wireless Networks · Advanced MIMO Systems Optimization · Antenna Design and Analysis
