DF-based sum-rate optimization for multicarrier multiple access relay channel

Soussi, Mohieddine El; Zaidi, Abdellatif; Vandendorpe, Luc

doi:10.1186/s13638-015-0361-y

Cited by 6 publications

(14 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, if the scheduler considers downlink transmission error rate in addition, a policy that always broadcasts XORed packets whenever there is a coding opportunity without considering downlink channel states is penalized by (7). Therefore, (5), (6), and (7) form a power-delay-error tradeoff.…”

Section: Packet Error Costmentioning

confidence: 99%

“…Note that (5) and (6) form a power-delay tradeoff. A policy that always transmits whenever there is an incoming packet without considering coding opportunities in the long run is penalized by (6), and a policy that always holds packet to wait for coding opportunities without considering the average packet delay is penalized by (5).…”

Section: Transmission Costmentioning

confidence: 99%

“…In summary, the MPI and DSPSA are two examples of low complexity algorithms that are based on the monotonicity of the optimal policy. To propose more low complexity algorithms and compare the convergence 1 (1,6,4), the estimations of the optimal threshold to queue 1 when b 2 = 1, g 1 = 6 and g 2 = 4 (right). The channels are both Rayleigh fading with γ 1 = γ 2 = 0dB and modeled by 8-state FSMCs.…”

Section: Complexitymentioning

confidence: 99%

“…This method, compared to the conventional store-and-forward transmission, reduces the total number of transmissions from 4 to 3 so that the transmission power is saved by 25 %. Since then, numerous optimization problems have been studied in NC-TWRC, e.g., the precoding scheme design *Correspondence: ni.ding@anu.edu.au Research School of Engineering, College of Engineering and Computer Science, Australian National University (ANU), 2601 Canberra, Australia proposed in [5], the optimal achievable sum-rate problem studied in [6] and the optimal beamforming method proposed in [7].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Structured optimal transmission control in network-coded two-way relay channels

Ding

Sadeghi

Kennedy

2015

J Wireless Com Network

View full text Add to dashboard Cite

This paper considers a transmission control problem in network-coded two-way relay channels (NC-TWRC), where the relay buffers randomly arrived packets from two users, and the channels are assumed to be fading. The problem is modeled by a discounted infinite horizon Markov decision process (MDP). The objective is to find an adaptive transmission control policy that minimizes the packet delay, buffer overflow, transmission power consumption and downlink error rate simultaneously and in the long run. By using the concepts of submodularity, multimodularity and L -convexity, we study the structure of the optimal policy searched by dynamic programming (DP) algorithm. We show that the optimal transmission policy is nondecreasing in queue occupancies and/or channel states under certain conditions such as the chosen values of parameters in the MDP model, channel modeling method, and the preservation of stochastic dominance in the transitions of system states. Based one these results, we propose to use two low-complexity algorithms for searching the optimal monotonic policy: monotonic policy iteration (MPI) and discrete simultaneous perturbation stochastic approximation (DSPSA). We show that MPI reduces the time complexity of DP, and DSPSA is able to adaptively track the optimal policy when the statistics of the packet arrival processes change with time.

show abstract

Section: Packet Error Costmentioning

confidence: 99%

Section: Transmission Costmentioning

confidence: 99%

Section: Complexitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Structured optimal transmission control in network-coded two-way relay channels

Ding

Sadeghi

Kennedy

2015

J Wireless Com Network

View full text Add to dashboard Cite

show abstract

“…Downlink energy-efficiency maximization under proportional rate constraint is investigated in [18]. Resource allocation for the multiple access relay channel, with successive interference cancellation at the relay, is studied in [19]. In [20], joint resource allocation is considered for uplink system where relays are fixed.…”

Section: Literature Overviewmentioning

confidence: 99%

Uplink resource allocation in cooperative OFDMA with multiplexing mobile relays

Hamda

Pischella

Roviras

et al. 2016

J Wireless Com Network

View full text Add to dashboard Cite

Cooperative relaying is an important feature for the fourth generation wireless system to upgrade system performance. Mobile relays can offer better results than fixed relays without any additional infrastructure cost. However, efficient cooperation decision as well as resource allocation are critical to satisfy model constraints as required quality of service (QoS). In this work, simple mobile users with advantageous channels can act as potential relays for cell edge users for an uplink transmission. They multiplex, in the frequency domain, their own data to that of the relayed sources, with the objective for both relay and sources to reach a target data rate. An optimal joint resource blocks (RB) allocation and power allocation scheme under a required data rate constraint per user is proposed. The optimization problem is formulated to minimize the total system power. Dual decomposition and subgradient method are used to solve the optimization problem after dividing it into independent subproblems with less complexity to find the optimal solution. The cooperation decision and the sources-relays association is either performed as a first step of resource allocation, or jointly optimized with RB and power allocation. Simulation results show that these proposed algorithms both reduce system's power consumption while ensuring the required QoS. Joint optimization of relay selection, RB and power allocation provides a higher power consumption decrease, but requires higher complexity and overhead.

show abstract

On the capacity region of the multiple access half‐duplex relay channel

Al-qudah

Alrashdan

Darabkh

2021

Int J Communication

View full text Add to dashboard Cite

Summary In this paper, we consider the transmission over multiple access relay channel (MARC) in which the relay operates in half‐duplex mode. The main contribution of this paper is establishing the capacity of the multiple access half‐duplex relay channel (MAHRC). Toward achieving this goal, we first derive a new achievable rate region. While deriving the achievable rate region, well‐known encoding and decoding schemes, which are used for transmission and reception over the degraded broadcast channel and the multiple access channel, are used. In this transmission scheme, the transmission from the two sources via the half‐duplex relay, to the destination, is split into two phases. Afterwards, an outer bound to the transmission over the discrete memoryless MAHRC is developed. Consequently, we show that the achievable rate region matches the outer bound and therefore the capacity region is formed. Further, the capacity region is extended to the case of Gaussian channel. Additionally, many numerical examples are shown to validate our theoretical derivations. In particular, these numerical examples show that the achievable rate region, and then the capacity, that we derive is larger than the well‐known results in the literature.

show abstract

DF-based sum-rate optimization for multicarrier multiple access relay channel

Cited by 6 publications

References 26 publications

Structured optimal transmission control in network-coded two-way relay channels

Structured optimal transmission control in network-coded two-way relay channels

Uplink resource allocation in cooperative OFDMA with multiplexing mobile relays

On the capacity region of the multiple access half‐duplex relay channel

Contact Info

Product

Resources

About