Dynamic Joint Resource Optimization for LTE-Advanced Relay Networks

Abstract

Abstract-A dynamic optimization algorithm is proposed for the joint allocation of subframes, resource blocks, and power in the Type 1 inband relaying scheme mandatory in the LTEAdvanced standard. Following the general framework of Lyapunov optimization, we decompose the original problem into three sub-problems in the forms of convex programming, linear programming, and mixed-integer programming. We solve the last sub-problem in the Lagrange dual domain, showing that it has zero duality gap, and that a primal optimum can be obtained with probability one. The proposed algorithm dynamically adapts to traffic and channel fluctuations, it accommodates both instantaneous and average power constraints, and it obtains arbitrarily near-optimal sum utility of each user's average throughput. Simulation results demonstrate that the joint optimum can significantly outperform suboptimal alternatives.

Energy-Efficient Subcarrier Assignment and Power Allocation in OFDMA Systems With Max-Min Fairness Guarantees

“…5. Comparisons of the energy efficiency of the network and each link among the NEP [16], [39], the MEP with Algorithms 1 and 2, the MEP with Algorithms 3 and 4, the rate adaptive [4], [5], the margin adaptive [6], [7], and the utility adaptive [8], [9] under K = 8 and N = 128 with P C k = 0.4 W, ξ k = 18 [37], R req k = 15 bits/s/Hz, and P max k = 0.2 W for all k. Note that Lk in the figure denotes the k-th link and this figure is plotted based on one random sample. Fig.…”

“…5 and 6, we provide performance comparisons among the six schemes, namely the NEP [16], [39], the MEP with Algorithms 1 and 2, the MEP with Algorithms 3 and 4, the rate adaptive [4], [5], the margin adaptive [6], [7], and the utility adaptive [8], [9], in terms of energy efficiency from different perspectives. Fig.…”

“…• Utility adaptive as in [8], [9], which aims to maximize a utility subject to a total transmit power constraint. Due to the recent interest in energy-efficient communications to reduce energy consumption and greenhouse gas emission [10]- [12], energy efficiency has been proposed as a new metric to measure how efficiently the energy is consumed.…”

Recent Advances in Cloud Radio Access Networks: System Architectures, Key Techniques, and Open Issues

“…The Lyapunov optimization theory also has applications in the network layer traffic flow control when the exogenous arrival rates are outside of the network stability region. By incorporating the congestion control into the radio resource optimization using the lyapunov optimization technique, the delay-aware cross-layer algorithm is proposed in [114] to maintain the delay performance and maximize the throughput utility for LTE-A networks. The problem of EE-guaranteed throughput-delay tradeoff in interference-free C-RANs is investigated in [115] under a unified Lyapunov optimization framework, where simulation results demonstrate that the traffic flow control has the advantages of stabilizing traffic queues and reducing power consumption.…”

Dynamic resource optimization with congestion control in heterogeneous cloud radio access networks

“…However, these works did not take the random traffic arrivals into consideration and assumed that the backlogs of traffic queues could be infinite. To adapt to the traffic and channel fluctuations dynamically and ensure the network stability, the dynamic joint allocation of frames, RB and power was investigated in [8] with the consideration of congestion control.…”