End-to-End Bandwidth Guarantees Through Fair Local Spectrum Share in Wireless \u3cem\u3eAd-Hoc\u3c/em\u3e Networks

Sharing the common spectrum among the links in a vicinity is a fundamental problem in wireless ad-hoc networks. Lately, some scheduling approaches have been proposed that guarantee fair share of bandwidth among the links. The quality of service perceived by the applications however depends on the end-to-end bandwidth allocated to the multihop sessions. We propose an algorithm that provides provably maxmin fair end-to-end bandwidth to sessions. The algorithm combines a link scheduling that avoids collisions, a fair session service discipline per link, and a hop-by-hop window flow control. All the stages of the algorithm are implementable based on local information, except the link scheduling part that needs some network-wide coordination

Multicast Multigroup Precoding and User Scheduling for Frame-Based Satellite Communications

The present work focuses on the forward link of a broadband multibeam satellite system that aggressively reuses the user link frequency resources. Two fundamental practical challenges, namely the need to frame multiple users per transmission and the per-antenna transmit power limitations, are addressed. To this end, the so-called frame-based precoding problem is optimally solved using the principles of physical layer multicasting to multiple co-channel groups under per-antenna constraints. In this context, a novel optimization problem that aims at maximizing the system sum rate under individual power constraints is proposed. Added to that, the formulation is further extended to include availability constraints. As a result, the high gains of the sum rate optimal design are traded off to satisfy the stringent availability requirements of satellite systems. Moreover, the throughput maximization with a granular spectral efficiency versus SINR function, is formulated and solved. Finally, a multicast-aware user scheduling policy, based on the channel state information, is developed. Thus, substantial multiuser diversity gains are gleaned. Numerical results over a realistic simulation environment exhibit as much as 30% gains over conventional systems, even for 7 users per frame, without modifying the framing structure of legacy communication standards.Comment: Accepted for publication to the IEEE Transactions on Wireless Communications, 201

Multicast Multigroup Beamforming for Per-antenna Power Constrained Large-scale Arrays

Large in the number of transmit elements, multi-antenna arrays with per-element limitations are in the focus of the present work. In this context, physical layer multigroup multicasting under per-antenna power constrains, is investigated herein. To address this complex optimization problem low-complexity alternatives to semi-definite relaxation are proposed. The goal is to optimize the per-antenna power constrained transmitter in a maximum fairness sense, which is formulated as a non-convex quadratically constrained quadratic problem. Therefore, the recently developed tool of feasible point pursuit and successive convex approximation is extended to account for practical per-antenna power constraints. Interestingly, the novel iterative method exhibits not only superior performance in terms of approaching the relaxed upper bound but also a significant complexity reduction, as the dimensions of the optimization variables increase. Consequently, multicast multigroup beamforming for large-scale array transmitters with per-antenna dedicated amplifiers is rendered computationally efficient and accurate. A preliminary performance evaluation in large-scale systems for which the semi-definite relaxation constantly yields non rank-1 solutions is presented.Comment: submitted to IEEE SPAWC 2015. arXiv admin note: substantial text overlap with arXiv:1406.755

Distributed scheduling with end-to-end compensation in multihop ad hoc networks

In this paper, we investigate the problem of providing QoS to end-to-end flows in multihop ad hoc networks with channel errors through packet scheduling. Each flow is associated with some QoS requirement, which is requested and granted in the form of a desired service rate. The achieved rate is estimated at the destination and fed back to the source periodically. Both the desired rate and achieved rate of a multihop flow are piggybacked on the packets of the flow and propagated from the source node to all its downstream relaying nodes. With such information, a compensation-capable scheduling algorithm originally designed for infrastructured wireless networks can be adapted to each ad hoc node for compensating a lagging flow, i.e., a flow with the achieved rate smaller than the desired rate. We propose the feedback and propagation mechanism as an end-to-end compensation framework, which is the key contribution of this work. We use BGFS-EBA, a scheduling algorithm for infrastructured wireless networks, as an example to demonstrate how such an algorithm is adapted to ad hoc networks within the proposed framework. Our simulation results show that the proposed mechanism maintains outcome fairness and compensate flows that suffer sporadic bursty channel errors effectively. © 2008 IEEE.published_or_final_versionThe 19th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Cannes, France, 15-18 September 2008. In Proceedings of 19th IEEE PIMRC, 2008, p. 1-

Distributed On-Line Schedule Adaptation for Balanced Slot Allocation in Bluetooth Scatternets and other Wireless Ad-Hoc Network Architectures

In this paper we propose an algorithm for design and on the fly modification of the schedule of an ad-hoc wireless network in order to provide fair service guarantees under topological changes. The primary objective is to derive a distributed coordination method for schedule construction and modification in Bluetooth scatternets. The algorithm proposed here has wider applicability, to any wireless ad-hoc network that operates under a schedule where the transmissions at each slot are explicitly specified over a time period of length T. First we introduce a fluid model of the system where the conflict avoidance requirements of neighboring links are relaxed while the aspect of local channel sharing is captured. In that model we propose an algorithm where the nodes asynchronously re-adjust the rates allocated to their adjacent links based only on local information. We prove that from any initial condition the algorithm finds the max-min fair rate allocation in the fluid model. Hence if the iteration is performed constantly the rate allocation will track the optimal even in regimes of constant topology changes. Then we consider the slotted system and propose a modification method that applies directly on the slotted schedule, emulating the effect of the rate re-adjusment iteration of the fluid model. Through extensive experiments in networks with fixed and time varying topologies we show that the latter algorithm achieves balanced rate allocation in the actual slotted system that are very close to the max-min fair rates. The experiments show also that the algorithm is very robust on topology variations, with very good tracking properties of the max-min fair rate allocation