Sum Rate Maximization of D2D Communications in Cognitive Radio Network Using Cheating Strategy

Abstract

This paper focuses on the cheating algorithm for device-to-device (D2D) pairs that reuse the uplink channels of cellular users. We are concerned about the way how D2D pairs are matched with cellular users (CUs) to maximize their sum rate. In contrast with Munkres’ algorithm which gives the optimal matching in terms of the maximum throughput, Gale-Shapley algorithm ensures the stability of the system on the same time and achieves a men-optimal stable matching. In our system, D2D pairs play the role of “men,” so that each D2D pair could be matched to the CU that ranks as high as possible in the D2D pair’s preference list. It is found by previous studies that, by unilaterally falsifying preference lists in a particular way, some men can get better partners, while no men get worse off. We utilize this theory to exploit the best cheating strategy for D2D pairs. We find out that to acquire such a cheating strategy, we need to seek as many and as large cabals as possible. To this end, we develop a cabal finding algorithm named RHSTLC, and also we prove that it reaches the Pareto optimality. In comparison with other algorithms proposed by related works, the results show that our algorithm can considerably improve the sum rate of D2D pairs.

Transmission Power Control and Relay Strategy for Increasing Access Rate in Device to Device Communication

“…However, if the transmission power is set based on the criteria node that is selected considering only the distance, then a relatively nearby node with interference level much higher than the criteria node may not achieve the target SINR. Therefore, we propose that Ͼ Ģ is selected based on the weighted sum of the normalized values of the distance between the transmitter and the receivers and the level of interference at the receivers (5). Then, the criteria node will be the node corresponding to the highest weighted sum.…”

“…Moreover, higher throughput and access rates can be achieved through spatial reuse of the available resource blocks for D2D communication [2]. However, spatial reuse causes interference among concurrent transmissions which may deteriorate signal quality, thus making interference management a key challenge for D2D communication [3][4][5].…”

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“…Next, they maximize the minimum SINR AP and SINR U2 , while satisfying the SINR constraint condition. 35,36 Based on the optimal SINR, U1 and AP can calculate the optimal transmit power, which is given by…”

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“…Within the spectrum reuse pattern in underlay D2D communication, it is usually preferred to reuse the uplink spectrum of cellular users, because the transmission power for base station (BS) is relatively high, which is more likely to cause serious interference in D2D communication. 13 Through power control and resource allocation algorithms, not only the interference caused by D2D can be effectively suppressed, but also the spectrum utilization and energy efficiency can be significantly improved. Given this background, Sheng et al 14 investigate the tradeoff between energy efficiency and communication delay.…”

“…However, in the underlay mode, the key issue is the interference coordination between the cellular user and the D2D pair. Within the spectrum reuse pattern in underlay D2D communication, it is usually preferred to reuse the uplink spectrum of cellular users, because the transmission power for base station (BS) is relatively high, which is more likely to cause serious interference in D2D communication 13 …”