Exploiting device-to-device (D2D) transmission strategy for throughput enhancement in WLANs

Wireless device-to-device (D2D) caching networks are studied, in which n nodes are distributed uniformly at random over the network area. Each node caches M files from the library of size m ≥ M and independently requires a file from the library. Each request will be served by cooperative D2D transmission from other nodes having the requested file in their cache memories. In many practical sensor or Internet of things (IoT) networks, there may exist simple sensor or IoT devices that are not able to perform real-time rate and power control based on the reported channel quality information (CQI). Hence, it is assumed that each node transmits a file with a fixed rate and power so that an outage is inevitable. To improve the outage-based throughput, a cache-enabled interference cancellation (IC) technique is proposed for cooperative D2D file delivery which first performs IC, utilizing cached files at each node as side information, and then performs successive IC of strongly interfering files. Numerical simulations demonstrate that the proposed scheme significantly improves the overall throughput and, furthermore, such gain is universally achievable for various caching placement strategies such as random caching and probabilistic caching.

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Network-Assisted Distributed Fairness-Aware Interference Coordination for Device-to-Device Communication Underlaid Cellular Networks

Mobile Information Systems ◽

10.1155/2017/1821084 ◽

2017 ◽

Vol 2017 ◽

pp. 1-11 ◽

Cited By ~ 7

Author(s):

Francis Boabang ◽

Hoang-Hiep Nguyen ◽

Quoc-Viet Pham ◽

Won-Joo Hwang

Keyword(s):

Cellular Network ◽

Interference Mitigation ◽

Interference Management ◽

Control Agent ◽

Base Station ◽

Payoff Function ◽

Noncooperative Game ◽

Efficient Outcome ◽

Device To Device ◽

D2d Transmission

Device-to-device (D2D) communication underlaid cellular network is considered a key integration feature in future cellular network. However, without properly designed interference management, the interference from D2D transmission tends to degrade the performance of cellular users and D2D pairs. In this work, we proposed a network-assisted distributed interference mitigation scheme to address this issue. Specifically, the base station (BS) acts as a control agent that coordinates the cross-tier interference from D2D transmission through a taxation scheme. The cotier interference is controlled by noncooperative game amongst D2D pairs. In general, the outcome of noncooperative game is inefficient due to the selfishness of each player. In our game formulation, reference user who is the victim of cotier interference is factored into the payoff function of each player to obtain fair and efficient outcome. The existence, uniqueness of the Nash Equilibrium (NE), and the convergence of the proposed algorithm are characterized using Variational Inequality theory. Finally, we provide simulation results to evaluate the efficiency of the proposed algorithm.

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A Distributed Interference Alignment Algorithm for Device-to-Device Communications with Multiple Antennas Underlaying Cellular Networks

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.713-715.1216 ◽

2015 ◽

Vol 713-715 ◽

pp. 1216-1221

Author(s):

Ning Fei Li ◽

Shi Xiang Shao ◽

Jun Sun

Keyword(s):

Cellular Networks ◽

Multiple Antennas ◽

Interference Alignment ◽

System Capacity ◽

Iteration Algorithm ◽

Alignment Algorithm ◽

D2d Communications ◽

Channel Knowledge ◽

Device To Device ◽

D2d Transmission

In this paper, we consider the device-to-device (D2D) communications with multiple antennas underlaying single-cell cellular networks, in which D2D transmission links reuse the cellular downlink (DL) resource. We propose an iterative distributed interference alignment (IA) algorithm to reduce the cellular interference towards D2D UEs, which utilizes the reciprocity of wireless networks with local channel knowledge at each node. The iteration algorithm continues until it converges, judged by the weighted leakage interference (WLI). Simulation results demonstrate that using the distributed interference alignment algorithm can effectively improve the system capacity and energy efficiency.

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